This comprehensive research report provides an exhaustive analysis of the current state of Financial Crime Compliance. It synthesises the seismic operational impacts of the European Union’s implementation of the 6th Anti-Money Laundering Directive and the activation of the Anti-Money Laundering Authority in Frankfurt. It scrutinises the United Kingdom’s controversial centralisation of professional services supervision under the Financial Conduct Authority. Across the Atlantic, it dissects the aggressive extraterritorial reach of the US Department of Justice, exemplified by the historic asset cap and multi-billion-dollar penalties levied against TD Bank and the criminal convictions of cryptocurrency giants like KuCoin.

Furthermore, this report analyses emerging laundering typologies that exploit the very digitalisation intended to modernise finance, including the misuse of white-label banking infrastructure, the layering capabilities of virtual IBANs, and the terrifying efficacy of AI-enabled deepfake fraud. These vectors have necessitated a complete architectural overhaul of transaction monitoring systems, forcing institutions to abandon static rule-based systems for dynamic, AI-driven behavioural analytics. The “compliance-as-an-afterthought” model, which fuelled the fintech unicorn boom of the 2010s and early 2020s, has effectively collapsed. The forced exit of founders from major neobanks like N26 and the bankruptcy of embedded finance providers like Railsr demonstrate that regulatory resilience is now the primary determinant of commercial survival.

EU’s regulatory revolution

The operationalisation of the EU’s AML Package in 2024 and 2025 represents the most significant restructuring of the bloc’s financial defence architecture since the introduction of the Euro. Now comes the new way of handling rules, with fewer top-down orders and one clear book for everyone. It means firms across Europe face different demands than before, shaped by deeper political goals. The aim? To avoid gaps so large that they let trouble sneak through, just like what happened at Danske Bank.

Nowhere else does history shift so clearly. The AMLA era replaces the old ways of isolated national bodies working apart. Based in Frankfurt, this authority is moving fast, staffing up through 2027 while gaining real oversight tools by 2028, especially for higher-risk cases. Unlike the EBA before it, which shares advice but lacks enforcement teeth, here power flows directly, bypassing local authorities entirely. Straight oversight goes to selected risky overseas finance units, setting strict rules and major monetary penalties that target them specifically, blocking any attempt to dodge through loopholes.

Across the wider market still within national oversight, AMLA takes on a firm monitoring role, working closely with state agencies to maintain uniform enforcement of the Single Rulebook. Its funding structure reflects self-sufficiency in operations, shielded from fluctuations in political funding allocations.

From 2028 onwards, approximately 70% of its €92 million annual budget will be funded by fees levied directly on the obliged entities it supervises. The fee structure ensures that institutions creating the highest systemic risk bear the financial burden of their supervision.

The legislative twin pillars, the 6th Directive and the AML Regulation, have harmonised definitions and drastically expanded the perimeter of regulated activities. The 6th Directive codifies a unified list of twenty-two predicate offences across all member states, now explicitly including cybercrime, environmental crime covering illegal logging and waste trafficking, and tax crimes. For multinational corporations, this harmonisation removes the dangerous ambiguity where an act considered a predicate offence in one jurisdiction might not have triggered money laundering reporting in another.

The AML Regulation significantly broadens the definition of “obliged entities,” those required to perform Customer Due Diligence and file Suspicious Activity Reports. The regulatory perimeter now captures crypto-asset service providers, high-value goods traders in precious metals and cultural artefacts, professional football clubs and agents, and crowdfunding platforms facilitating peer-to-peer financing. Transparency of beneficial ownership remains a cornerstone of the EU strategy, with the new framework mandating a unified ownership threshold of 25%. A critical “risk-based” provision empowers the European Commission to lower this threshold to 15% for high-risk sectors. The directive mandates the interconnection of national beneficial ownership registers via a central European platform, closing the loophole whereby cross-border corporate structures could obscure the Ultimate Beneficial Owner. To curb the anonymity provided by physical currency, the AML Regulation introduces a Europe-wide cap of €10,000 on cash payments in business transactions.

The 6th Directive introduces stringent corporate liability provisions that directly impact the C-suite. Legal persons can be held criminally liable if a “lack of supervision or control” by a person in a leading position made the money laundering possible. For Chief Financial Officers and Corporate Treasurers, the expansion of definitions regarding aiding and abetting means executives can be prosecuted for facilitating laundering through negligence or wilful blindness. The requirement to verify beneficial ownership for all suppliers and partners necessitates a massive overhaul of vendor management systems.

UK’s supervisory consolidation

While the European Union centralises authority in a new supranational body, the United Kingdom is dismantling the fragmented supervisory regime criticised for its inefficiency. The government’s decision to appoint the Financial Conduct Authority as the Single Professional Services Supervisor marks a watershed moment for lawyers, accountants, and trust and company service providers. The move represents a fundamental shift away from professional self-regulation toward a statutory, state-controlled model of AML oversight.

The catalyst for this radical reform was the consistent underperformance of the Professional Body Supervisors, the twenty-two self-regulatory bodies responsible for overseeing AML compliance in the legal and accountancy sectors. The Office for Professional Body Anti-Money Laundering Supervision issued a damning report in September 2024 that effectively sealed the fate of the self-regulatory model. The report found that none of the assessed supervisors were fully effective in all areas of supervision; the majority showed no material improvement, with some even regressing; and there was systemic reluctance to issue fines or take enforcement action. This highlighted the inherent conflict of interest between the bodies’ representative roles and their supervisory duties.

Under the new SPSS model, the FCA will assume sole responsibility for AML supervision of professional services firms, with full operational transfer projected by 2028. The legal profession has vehemently opposed this move, viewing it as an erosion of professional independence. Concerns centre on whether a statutory regulator rooted in financial markets culture will respect the nuances of Legal Professional Privilege, the significant fees the FCA is expected to levy, and the clash between the FCA’s “rules-based” approach and the “principles-based” regulation to which the legal sector is accustomed. However, the government’s stance remains firm. The risk of professional enablers facilitating high-end money laundering outweighs the preference for self-regulation.
US’ enforcement doctrine

The United States is enforcing the existing rulebook with unprecedented aggression. Enforcement actions of 2024 and 2025 have shattered the notion that global banks are “too big to jail.” The focus has shifted from monetary penalties to structural constraints that threaten the very growth of non-compliant institutions. The guilty plea by TD Bank in October 2024 serves as a definitive case study for the modern AML failure. The bank agreed to pay over $3 billion in penalties to resolve investigations by the DOJ, the Financial Crimes Enforcement Network, and the Office of the Comptroller of the Currency.

The TD Bank case was a systemic collapse of defences, facilitated by a corporate culture that prioritised speed and cost-cutting over compliance. Court documents revealed laundering networks that operated with impunity, including one that physically dumped piles of cash on bank counters in Queens and a sophisticated network that utilised the bank to withdraw funds via ATMs in Colombia through complicit bank employees. The DOJ explicitly cited the bank’s prioritisation of growth over compliance controls, noting that for nearly a decade, the bank failed to update its transaction monitoring scenarios.

While the $3 billion fine was historic, the arguably more damaging penalty was the asset cap imposed by the OCC, preventing TD Bank’s US retail subsidiaries from growing their assets beyond the October 2024 level of $434 billion. The penalty structure represents a profound shift in regulatory strategy, as fines can be absorbed, but asset caps stagnate the business, depress stock value, and invite shareholder litigation. For a bank, the inability to grow its balance sheet is a slow-motion death sentence for its strategic ambitions. The US approach has set the tone for global enforcement, with the DOJ and FinCEN targeting not just institutions but individuals and infrastructure, with reach extending far beyond US borders.

The crisis of architecture

The years 2025 and 2026 have been a reckoning for the fintech sector. The “move fast and break things” ethos has collided violently with AML regulations, exposing vulnerabilities inherent in Banking-as-a-Service and white-label models. The result has been bankruptcies, license revocations, and forced leadership changes. White labelling allows non-bank entities to offer financial products using the license and infrastructure of a regulated provider. An EBA report published in October 2025 identified this model as a critical money laundering vulnerability, with risk stemming from the structural disconnect between the customer-facing brand and the regulated entity holding the license.

The bankruptcy of Railsr remains the cautionary tale of the sector. Railsr’s subsidiary, PayRNet, had its license revoked by the Bank of Lithuania in mid-2023 for serious AML violations, including the failure to safeguard client funds and inadequate due diligence. The revocation revealed that PayRNet had effectively lost control of its resellers and could not identify the end users of its virtual IBANs, allowing illicit flows to move unchecked through its rails.

German neobank N26 provides a vivid case study in the friction between hyper-growth and regulatory containment. Following repeated AML failures, the German regulator BaFin imposed a draconian cap on new customer acquisitions in 2021. The cap was lifted in mid-2024, but by late 2025, BaFin had reimposed restrictions, specifically banning N26 from issuing mortgages in the Netherlands due to continued compliance deficiencies. The sustained regulatory pressure culminated in a governance crisis, with investors pushing for the exit of the bank’s founders by early 2026, marking the end of the founder-led era.

The digital frontier

By 2026, the cryptocurrency landscape had transformed significantly compared to the chaotic environment of 2020. The introduction of the Markets in Crypto-Assets (MiCA) regulation in Europe, along with the global implementation of the Travel Rule, tightened privacy measures. In the United States, there was a strong crackdown on cryptocurrency exchanges through criminal cases based on financial laws. One notable exchange, KuCoin, took responsibility in early 2025 for managing unreported funds and faced charges related to the Bank Secrecy Act. The total penalties amounted to nearly $300,000,000. A federal court case revealed that KuCoin operated without the necessary permissions, marketing itself to American users while completely bypassing identity verification checks. Labelled as a “No-KYC” exchange, it allowed anonymous traders to participate from across the country. As a result of circumventing regulations, more than five billion dollars flowed in from unclear, potentially criminal sources.

A penalty of $100 million handed to BitMEX in 2025 marks another shift toward personal responsibility, with its founders ordered to serve time in a criminal capacity. It was determined that the platform deliberately ignored anti-money laundering requirements to increase earnings, handling vast sums, trillions, without any customer verification. Even as traditional exchanges grow stricter, new paths for illicit finance begin to take shape. Funds tied to Tornado Cash face US restrictions, which weakened their purpose, since major trading platforms now reject deposits linked to named mixing routes. Instead of vanishing, privacy altcoins such as Monero lose access to major platforms, shrinking the trader activity needed for broad-scale illicit flows. Lurking beneath old tactics, launderers now lean on “chain hopping,” shifting value across network borders using the latest bridge technology. These moves blur transaction links simply because paths between blocks go unnoticed for longer.

By 2026, the Financial Action Task Force’s “Travel Rule” will have become a global operational standard. In the EU, regulations mandate that all transfers of crypto-assets must be accompanied by identifying information of the originator and beneficiary, effectively applying SWIFT-style wire transfer transparency to the blockchain. This has forced Virtual Asset Service Providers to implement complex messaging protocols, creating a closed loop of regulated entities.

The new typologies of financial crime

The 2026 threat landscape is defined by the abuse of complex payment infrastructure and the weaponisation of Generative AI. Virtual IBANs are routing numbers that redirect payments to a master physical account. While legitimate for treasury management, they are a potent tool for money laundering. A criminal opens a master account with a fintech company, then generates hundreds of virtual IBANs, assigning them to shell companies. Funds flow into these virtual accounts and are instantly commingled in the master account, obscuring the origin from transaction monitoring logic. The AML Regulation now requires issuers to link every virtual IBAN to the underlying master account in centralised registries.

The “Deepfake CFO” scam in Hong Kong, which resulted in a $25 million loss, stands as the grim milestone of AI-enabled fraud. Fraudsters used deepfake technology to recreate the company’s CFO and other colleagues in a “live video conference.” By 2026, over 42% of fraud attempts are AI-driven, with deepfake “injection attacks” increasing by over 2000%. This has rendered simple video KYC obsolete, with financial institutions rushing to implement passive liveness detection and biometric analysis capable of spotting microscopic artefacts left by generative AI.

Strategic outlook

The EU Single Rulebook and the UK’s SPSS model mean that regulatory arbitrage within Europe is effectively dead, with firms needing to adopt a “highest common denominator” approach to compliance. The extension of criminal liability to executives and the aggressive prosecution of founders means that AML compliance is a direct responsibility of the Board and C-suite. Legacy systems that cannot handle virtual IBAN transparency or detect AI deepfakes are now existential vulnerabilities, with investment in RegTech no longer an IT upgrade but a license to operate. The era of “growth at all costs” has been superseded by the era of “compliant growth or no growth.” The regulatory perimeter has expanded to encircle the entire digital economy, and the penalties for stepping outside it have become existential. For financial institutions and their leaders, the message from regulators in Frankfurt, London, and Washington is unified. Compliance is the new currency of trust.

The post Europe’s compliance crackdown appeared first on International Finance.

The report provides an exhaustive analysis of the drivers behind this “sovereign pivot.” It argues that the return to gold is a rational response to a converging trifecta of systemic pressures. Fiscal Dominance in the United States, where unmanageable debt loads have constrained monetary policy and eroded the dollar’s store-of-value proposition. Geopolitical Fragmentation, exemplified by the weaponisation of the financial system and acute crises such as the 2026 Greenland diplomatic standoff. And Technological Bifurcation, where new payment rails like Project mBridge are enabling a post-dollar trade architecture that increasingly utilises gold as a neutral settlement asset.

Drawing on data from 2025, the analysis details the specific strategies employed by key institutional actors, ranging from the “stealth accumulation” of the People’s Bank of China and the logistical feats of the Reserve Bank of India’s repatriation programme, to the defensive posturing of European central banks, such as the National Bank of Poland. The evidence suggests that we are witnessing the end of the “return on capital” era for reserve managers and the beginning of the “return of capital” era, where the primary objective is immunity from seizure, sanctions, and debasement.

The age of fiscal dominance

To understand why central banks are shifting to gold with such urgency, one must first dissect the deterioration of the fiscal landscape in the United States. The traditional inverse correlation between gold and real interest rates has broken down, replaced by a correlation with US fiscal instability. We have entered the age of “fiscal dominance,” a regime where the central bank’s primary function shifts from inflation targeting to sovereign solvency assurance.

By late 2025, the United States’ gross national debt surpassed $38 trillion, a milestone that carries grave implications for the global reserve system. For the first time since the demobilisation following World War II, debt held by the public has reached approximately 100% of Gross Domestic Product (GDP).

However, unlike the 1940s, this accumulation is not the result of a temporary existential conflict but the product of structural deficits that show no sign of abating.

The most critical metric driving central bank anxiety is the cost of servicing this debt. In fiscal year 2025, net interest payments on the federal debt exploded to $970 billion, nearly tripling the $345 billion paid just five years prior in 2020. By early 2026, the annualised run rate for interest payments breached $1.1 trillion, surpassing the entire US national defence budget.

The inversion where a superpower spends more on past consumption than on future security signals a potential “Minsky Moment” for US Treasury securities. Nearly one-fourth of these interest payments flow to foreign investors, including strategic rivals like China, effectively transferring wealth abroad to service domestic profligacy. Central bank reserve managers, tasked with preserving national wealth, are increasingly viewing US Treasuries not as risk-free assets, but as certificates of confiscation via inflation.

The concept of fiscal dominance posits that when government debt reaches unsustainable levels, the central bank loses the agency to set interest rates based on economic cooling needs. If the Federal Reserve were to raise rates to combat persistent inflation, which remained sticky throughout 2025, it would cause interest service costs to spiral further, potentially triggering a sovereign default or necessitating draconian austerity.

Consequently, the market has concluded that the Fed is “trapped.” It must keep interest rates artificially low relative to inflation to alleviate the government’s debt burden, a process known as financial repression. This realisation drives the “debasement trade.” Investors and central banks understand that the only political path of least resistance for the US government is to inflate away the real value of the debt. In this environment, gold serves as the only asset with no counterparty liability and an infinite duration, immune to the printing press.

Compounding the fiscal arithmetic is the overt politicisation of the Federal Reserve. The period from 2025 to 2026 has seen an unprecedented attack on the independence of the US central bank. President Donald Trump, in his second term, has repeatedly criticised Federal Reserve Chairman Jerome Powell, going so far as to suggest his termination for failing to lower rates rapidly enough to support administration policies.

Rumours of Powell’s forced resignation circulated intensely throughout 2025, creating volatility in global markets. While legal scholars debate the President’s authority to fire the Fed Chair “for cause,” the mere existence of the threat undermines the dollar’s credibility. For foreign central banks, the Fed’s independence was the guarantor of the dollar’s value. If the Fed is perceived as “captured” by the executive branch, forced to monetise debt or fund tariffs, the risk premium on holding dollars rises exponentially.

The political friction has led to a decoupling of gold prices from traditional drivers. Historically, high nominal interest rates like the 4.25%-4.5% range seen in 2025 would dampen gold demand. However, in 2025 and 2026, gold surged alongside yields, indicating that the market is pricing in institutional risk rather than opportunity cost. As Gold Policy Advisor Ugo Yatsliach notes, central banks are preparing for a world where “dollar assets can be sanctioned, seized or devalued” by political fiat.

For decades, the standard central bank reserve portfolio mirrored the 60/40 investment strategy. Almost 60% in risk assets (equities) and 40% in defensive assets (sovereign bonds). US Treasuries were the bedrock of the defensive allocation. However, the correlation between equities and bonds turned positive in the high-inflation environment of the mid-2020s, meaning both asset classes fell together.

With US Treasuries suffering consecutive years of real losses, and facing the prospect of further issuance to fund the deficit, reserve managers are actively seeking a replacement for the “40%” defensive slice of their portfolios. Gold has emerged as the superior alternative. It offers the safety profile of a bond (no default risk) with the upside of an equity (inflation protection), without the political baggage of the US Treasury market.

Geopolitical fragmentation

While fiscal dominance provided the combustible material for the gold rally, geopolitical fragmentation acted as the spark. The era of the “Great Moderation” and global integration has given way to a chaotic multipolarity, where economic warfare has become a standard tool of statecraft.

In January 2026, a bizarre yet dangerous diplomatic crisis exemplified the volatility of the new order. President Trump renewed his administration’s interest in acquiring Greenland from Denmark, citing critical national security interests and the island’s vast mineral wealth. Unlike his previous attempts, this initiative was accompanied by coercive economic threats.

When European leaders, including the Danish Prime Minister, rejected the proposal, the US administration escalated tensions by threatening a 10% tariff on eight NATO allies, including the UK, Germany, France, and the Netherlands, unless they facilitated the transfer. The crisis intensified when rumours of a US military “reconnaissance mission” Operation Arctic Endurance surfaced, raising the spectre of an armed standoff between NATO members.

The market reaction was immediate and violent. The “Greenland Tax” was priced into every ounce of gold, pushing spot prices past $5,100. Investors and central banks fled US assets, fearing that if the US could threaten its closest military allies with economic devastation over a territorial dispute, no jurisdiction was safe. Although President Trump eventually de-escalated the military rhetoric at the Davos World Economic Forum, the damage to trust was permanent. The incident proved that the “political risk” usually associated with Emerging Markets had arrived in the G7.

The Greenland Crisis was merely the latest chapter in a narrative that began with the G7’s freezing of Russia’s foreign exchange reserves in 2022. This event remains the primary psychological driver for emerging market central banks. It demonstrated that FX reserves are not “money” in the bank, but credit claims extended to foreign powers, claims that can be cancelled at will.

The realisation birthed two distinct groups of gold buyers. The Axis of Evasion, countries like China, Russia, and Iran that are actively preparing for or currently under sanctions, for whom gold is an operational necessity to bypass the US dollar system, and The Strategic Hedgers, countries like Saudi Arabia, Brazil, and India that are technically US partners but wish to maintain strategic autonomy, diversifying not to attack the dollar, but to insulate themselves from becoming collateral damage in US foreign policy disputes.

The US administration’s willingness to use the dollar as a cudgel, imposing tariffs on allies and sanctions on rivals, has accelerated “de-dollarisation” from a theoretical concept to a practical urgency. Central banks are responding by reducing their holdings of US Treasuries and recycling trade surpluses into gold.

China, for instance, has reduced its US Treasury holdings from $1.3 trillion in 2011 to roughly $765 billion by 2025, utilising the proceeds to fund its massive gold accumulation programme. Similarly, Saudi Arabia and other petrostates are increasingly settling trade in non-dollar currencies and storing the surplus in neutral assets. Gold serves as the only asset that is “politically neutral” as it carries no visa, requires no SWIFT code, and recognises no sanctions.

The great accumulation

The theoretical shift in reserve management doctrine has translated into massive physical flows. Central banks have transitioned from being net sellers of gold, a trend that persisted until 2010, to becoming the dominant “whales” of the market. In 2025, central bank purchases accounted for nearly 25% of annual global gold demand, a historic high.

Central bankers, despite their technocratic veneer, are susceptible to herd behaviour. Hugh Morris of Z/Yen Group identifies a powerful “groupthink” dynamic driving the current rush. As early movers like Poland and China publicised their gold buying, it created a “fear of missing out” (FOMO) among peers. Reserve managers faced a new reputational risk. If a crisis occurred and they held only depreciating dollars while their neighbours held appreciating gold, they would be viewed as incompetent.

This herd behaviour is creating a self-reinforcing price loop. As central banks buy, the price rises, as the price rises, the value of gold reserves increases, validating the strategy and encouraging further buying to maintain target allocation percentages.

China is the gravitational centre of the gold market. The PBoC officially reported gold purchases for 14 consecutive months through the end of 2025, adding approximately 27 tonnes per month. By December 2025, official reserves stood at 2,306 tonnes.

However, market analysts widely believe these figures understate the reality. Goldman Sachs and other forensic accountants estimate that China’s true accumulation is likely significantly higher, potentially exceeding 5,000 tonnes. The “stealth accumulation” is executed through state-owned banks and sovereign wealth funds such as the CIC to avoid spiking the market price too rapidly and to mask the full extent of China’s preparation for a post-dollar order.

The accumulation is linked to the internationalisation of the Renminbi (RMB). By backing the RMB with a “gold wall,” China aims to increase the currency’s attractiveness as a trade settlement unit. The fact that gold now constitutes 8.5% of China’s official reserves up from 3% a decade ago signals a determined strategic shift.

India’s strategy in 2025 was defined by repatriation. In a logistical operation shrouded in secrecy, the RBI moved over 100 tonnes of gold from the Bank of England’s vaults in London back to domestic storage in India. By September 2025, the RBI held over 65% of its 880-tonne reserve domestically, up from just 38% in 2022.

The decision was clearly motivated by the lessons learnt from the sanctions imposed on Russia. The assets held abroad are assets at risk. The RBI’s governor and analysts cited the need to “insulate” India’s wealth from geopolitical freezing risks. Furthermore, despite high prices, the RBI continued to accumulate gold, aiming to raise the metal’s share of forex reserves to 20%. This demand was price-inelastic. The strategic imperative of sovereignty outweighed the tactical consideration of buying at all-time highs.

The most aggressive buyers relative to GDP have been the Eastern European nations on the frontline of the NATO-Russia tension. The National Bank of Poland (NBP) aggressively bought gold throughout 2025, surpassing the holdings of the European Central Bank (ECB) and reaching over 550 tonnes. NBP Governor Adam Glapiński has explicitly linked this buying to national security, stating that gold ensures Poland’s creditworthiness even if it were cut off from the global financial system during a war.

Similarly, the Czech National Bank (CNB) has engaged in 33 consecutive months of buying, targeting 100 tonnes by 2028. These nations are buying for existential hedging. They are preparing for a scenario where the Euro or Dollar payment systems might fail them in a moment of supreme crisis.

The Central Bank of Turkey remains a relentless buyer, adding to reserves for 28 consecutive months, using gold as a tool to manage the Lira’s volatility and as ultimate collateral for the banking system. The Monetary Authority of Singapore has accumulated significant gold to balance its massive equity portfolio, highlighting in 2025 gold’s role as a stabiliser in a “high-risk” global environment. Switzerland’s Swiss National Bank, while not actively buying new tonnage in the same volume, reaped a windfall of CHF 36 billion in 2025 solely from the revaluation of its massive 1,040-tonne holding, a success story that has served as a potent advertisement for gold’s utility to other central banks.

Architecture of post-dollar trade

The gold rush is not taking place in a technological vacuum. It is intimately linked to the development of new cross-border payment systems designed to bypass the US dollar and SWIFT. In these architectures, gold is evolving from a passive asset sitting in a vault to an active settlement token.

Project mBridge is arguably the most significant development in global finance that the general public ignores. Originally a collaboration between the BIS and the central banks of China, Hong Kong, Thailand, and the UAE, it allows for direct peer-to-peer exchange of Central Bank Digital Currencies (CBDCs).

In late 2024, the BIS withdrew from the project, leaving it under the operational control of China and its partners. It’s a move that signalled the platform’s transition from “pilot” to “geopolitical tool”. By late 2025, mBridge had processed over $55 billion in transaction volume, a staggering 2,500-fold increase since its inception.

The platform allows, for example, a Thai company to pay a UAE supplier in Digital Yuan (e-CNY), which the UAE firm can immediately convert to Digital Dirham or hold. Crucially, the system supports “payment versus payment” (PvP) settlement without using a US correspondent bank. This eliminates the risk of US sanctions blocking the trade.

Where does gold fit in? In a multi-CBDC arrangement, trade imbalances inevitably arise. If the UAE accumulates too much e-CNY, it may want to swap it for a neutral asset. mBridge’s architecture is being designed to integrate tokenised gold as a bridge asset. Gold becomes the “reference unit” that clears the ledger, effectively remonetising the metal for the digital age.

The expanded BRICS bloc has explicitly called for a non-dollar payment system, dubbed “BRICS Pay”. While skeptics dismiss the idea of a single “BRICS currency” due to the economic disparities between members, the bloc is coalescing around a “Unit of Account” model backed by a basket of commodities, primarily gold (40%) and oil.

Russia and China have already operationalised the digital rouble and digital yuan for bilateral energy trade. BRICS Pay aims to link these domestic payment systems. The threat of 100% tariffs from the US administration on countries abandoning the dollar has only accelerated this development. Member nations realise that to survive such economic warfare, they need a settlement medium that the US cannot touch. Physical gold, stored domestically and tokenised on a permissioned ledger, provides exactly that capability.

The private sector is also anticipating this shift. Tether, the issuer of the world’s largest stablecoin (USDT), accumulated approximately 27 tonnes of gold in Q4 2025, valued at $12.9 billion. The move aligns with Hong Kong’s strategic initiative to establish a 2,000-tonne gold storage facility to support digital asset backing.

The convergence of stablecoins and gold reserves hints at a future where private digital currencies are backed not by US Treasury bills (as is currently the case) but by gold. This would further drain liquidity from the US bond market and channel it into the bullion market, creating a “digital gold standard” running parallel to the fiat system.

The new gold standard

The synchronised pivot to gold by the world’s central banks is a structural realignment of the global monetary order. It represents a vote of “no confidence” in the current fiat-based financial architecture, specifically the dominance of the US dollar.

The events of 2025 and 2026 have redefined what constitutes a “safe asset.” For fifty years, “safety” was synonymous with US Treasuries, liquid, interest-bearing, and backed by the hegemon. Today, “safety” is defined by sovereignty. An asset is only safe if it cannot be frozen, sanctioned, or debased by a foreign power. Gold is the only asset that meets this criterion. US Treasuries, subject to fiscal dominance and geopolitical weaponisation, do not.

As the US debt spiral continues, $1.1 trillion in interest and growing, and geopolitical fragmentation deepens (Greenland, Ukraine, Taiwan), the demand for gold will likely intensify. The emergence of digital rails like mBridge will operationalise this gold, moving it from the vault to the settlement ledger.

We are witnessing the birth of a de facto Gold Standard. Central banks are building a “gold wall” to protect their economies from the storms of the 21st century. In this new era, gold is the ultimate currency of freedom.

The post Building the global gold wall appeared first on International Finance.

The transition is expected to change the investment landscape. Women are more risk-aware, and they demand holistic financial wellness rather than pure alpha generation. Women are also more socially aware and likely to be actively invested in trust-based philanthropy through gender-lens investing.

However, the wealth management industry might not be prepared for a systemic change. Widow retention rates are below 30%, and currently, women comprise 24% of certified financial planners.

The macroeconomic architecture

The upward social mobility of women, especially in an economic sense, isn’t just a narrative that big corporations put out for diversity and inclusion or just core diversity and inclusion points. It’s slowly becoming the primary driver of global GDP and asset accumulation.

There’s increased labour market participation, business ownership, and favourable inheritance patterns among women. It is a distinct economic block that’s going to reshape how global markets work.

People have been discussing the Great Wealth Transfer for some time now as a major generational shift, but the gendered aspect of such a massive transfer has not been explored enough.

The transfer occurs in distinct waves and creates a double-inheritance phenomenon that uniquely favours women. The first wave comes from spouses. Since women generally outlive men, they are the primary beneficiaries when their partners die. It represents the second transfer of Boomer wealth. The first wave occurs when they also inherit wealth from their parents.

According to statistics, by 2030, American women will hold the majority of the $30 trillion in financial assets currently held by Baby Boomers. Globally, the figure is expected to reach $100 trillion over the next two decades.

The shift from male to female control often triggers dramatic changes in the velocity of money. Unlike the passive accumulation strategies often favoured by previous generations of male patriarchs, female inheritors are active allocators, statistically more likely to deploy capital into the real economy through impact investing, real estate, and philanthropy.

While inheritance provides a substantial baseline of female wealth in mature Western markets, the most dynamic growth engine is entrepreneurship. The story of the self-made billionaire has replaced that of the passive heiress.

Data from 2025 indicates women’s average wealth is growing faster than men’s. The average wealth of women billionaires increased 8.4% to $5.2 billion, more than double the 3.2% growth rate for men. The surge is driven by female founders bypassing traditional corporate ladders to build immense value across sectors from technology to biotech. Estimates suggest that achieving gender parity in entrepreneurship and employment could add between $5 trillion and $12 trillion to global GDP by 2025.

Despite a clear trajectory, a critical “management gap” persists. Current analysis reveals that approximately 53% of assets controlled by women are unmanaged, compared to 45% for men. The eight-percentage-point gap represents a massive pool of capital sitting in cash or low-yield savings accounts due to a lack of trust in the advisory sector. Closing this gap represents a revenue opportunity of approximately $10 trillion by 2030 for the wealth management industry. The unmanaged asset gap is not merely female risk aversion, but rather a rational response to an industry that has failed to demonstrate value.

Regional geographies of wealth

The North American market is the most mature, characterised by high wealth concentration but significant “money in motion” risks. The primary driver of asset movement is not just death, but divorce. “Grey divorce” among couples separating after age 50 is rising, creating a unique demographic of wealthy, single women requiring specialised financial planning. Research shows a woman’s household income drops an average of 41% following divorce, compared to just 20%-22% for men. Furthermore, the statistic that 70% of widows fire their financial advisors within a year of their spouse’s death is a damning indictment of the “silent spouse” syndrome, where advisors cultivated relationships primarily with husbands while treating wives as secondary participants.

Europe presents a stable but conservative landscape where women remain significantly underserved. European women control roughly one-third of retail financial assets, a figure projected to reach 45% by 2030. These women are extremely skeptical of the financial industry. They are statistically more risk-averse than men (though another way of putting it is that they have more risk awareness), as they demand significantly more education and transparency before committing capital.

Over 30% of European women are extremely dissatisfied with how wealth services currently work, stating that they lack personalised advice and often feel patronised.

Asia, on the other hand, is a very dynamic region for female wealth creation. The primary driver is rapid economic development and cultural shifts that favour female business ownership. Unlike the West, where wealth is mostly inherited, Asian women are overwhelmingly entrepreneurial. By 2030, $6 trillion will transfer to the next generation in Asia-Pacific, with recipients increasingly being daughters who are active participants in family businesses. These Asian female heirs are younger, more digitally native, and more likely to demand digital-first wealth solutions, driving the growth of Singapore and Hong Kong as global Family Office hubs.

Female investor psyche

Understanding the psychology of the female investor is critical to bridging the $10 trillion unmanaged asset gap. Research consistently debunks the myth that women are “worse” investors. They often outperform men due to distinct behavioural traits aligning with long-term value creation. Studies indicate women investors outperform men by approximately 1.8 percentage points annually, attributed to more disciplined approaches, trading less frequently, adhering to long-term plans rather than reacting to market noise, and demonstrating less overconfidence bias.

However, performance advantages are masked by a “confidence gap.” Only 23% of women act as primary decision-makers for long-term financial planning, compared to 80% who manage short-term household budgets. The lack of confidence is a major barrier to entering equity markets, leading to higher cash allocations suffering from inflationary erosion.

The industry often mislabels women as “risk-averse” when “risk-aware” is more accurate. Women require more data points and a clearer understanding of worst-case scenarios before investing. Once they understand the risk and probability of loss, they are willing to accept it. It necessitates changes in how investment products are presented. Instead of focusing on “beating the benchmark,” advisors must frame investments in the context of “goal achievement,” since women construct portfolios around life goals like funding education, ensuring healthcare in old age, and legacy protection.

Wealth acquisition, especially when sudden, brings distinct psychological challenges. High-achieving women and inheritors often suffer from “financial imposter syndrome,” feeling undeserving of their wealth or lacking the intellect to manage it. For widows and divorcees, wealth often accompanies grief or trauma, requiring advisors who function partly as financial therapists. Even Ultra-High-Net-Worth women harbour irrational fears of becoming destitute, driving over-allocation to liquidity despite rational analysis suggesting otherwise.

Structural failures

The financial services industry has historically failed to serve women effectively. The traditional approach of “shrink it and pink it” involved superficial changes like hosting “ladies’ luncheons” without addressing underlying structural differences in female financial lives. Modern female investors widely reject this approach, demanding institutional-grade rigour and products that solve the specific liquidity and longevity risks women face.

The lack of female advisors is a self-perpetuating problem. Women comprise only 24% of Certified Financial Planner professionals and occupy only 18% of C-suite roles in finance globally. The absence of female leadership signals a lack of understanding of the female client’s lived experience. A looming advisor shortage exacerbates the service gap, with McKinsey predicting a deficit of 100,000 advisors in the US by 2034.

Recognising the $10 trillion opportunity, major global banks have launched dedicated initiatives. UBS has established itself as a thought leader through consistent research and educational platforms, including the Women’s Wealth Academy, addressing the confidence gap and programmes preparing heirs for wealth responsibilities. Citi Private Bank emphasises “Financial Wellness” as a core pillar of health and organises curated communities, recognising that women prefer learning from shared experiences of other successful women. Morgan Stanley’s “Family Office Resources” treats female-led households as institutions, prioritising governance structures and lifestyle advisory, acknowledging that for UHNW women, time is the most scarce resource.

The rise of female family office

As wealth scales, women are increasingly bypassing traditional private banks in favour of Single-Family Offices (SFO), allowing greater control, privacy, and alignment with personal values. The SFO model appeals to women because it enables a “total balance sheet” approach integrating investment management with philanthropy, tax planning, and next-generation education. Asia is witnessing an SFO boom, with Singapore and Hong Kong battling for dominance as preferred jurisdictions for Asian matriarchs through tax incentives and governance structures.

For wealthy women, investing is rarely value-neutral. There is a profound shift toward aligning capital with conscience through ESG and Gender Lens Investing. Women are revolutionising philanthropy through “Giving Circles” and collaborative funding models, mobilising over $3.1 billion, with participation growing 140%. The new model appeals to women’s preference for community and shared decision-making. Trust-based philanthropy led by figures like MacKenzie Scott and Melinda French Gates moves capital faster to social change frontlines compared to bureaucratic foundation models.

Gender Lens Investing is moving from niche to mainstream strategy. Assets in gender bonds reached $62.4 billion in 2025, driven by demand from female allocators wanting fixed-income portfolios supporting female empowerment. Women are twice as likely as men to incorporate ESG factors into investing, suggesting that as women control more wealth, the cost of capital for non-ESG compliant companies will rise, forcing market-wide shifts toward sustainability.

Technology is the final piece. New platforms allow for “Inheritance Simulation” and digital stress tests, visualising what happens to family wealth under various scenarios, providing the transparency and worst-case scenario visualisation that risk-aware female investors crave. The winning model for 2030 is “bionic”, AI-driven analytics delivered by empathetic human advisors who can anticipate life transitions and enable proactive intervention.

The 2030 outlook

The feminisation of wealth is the single most disruptive trend in global finance. By 2030, women will control nearly half of global private wealth, and their capital will be greener, more collaborative, and managed by a more diverse workforce. For the wealth management industry, the message is existential: adapt or die. Churn rates following widowhood and divorce prove that the old model of treating women as secondary clients is obsolete.

Success will belong to firms solving the trust gap through radical transparency and education, institutionalising the household through governance and lifestyle services, aligning with values by offering robust ESG products, and digitising with empathy using technology to clarify risk. The women taking the lead in wealth will be the ones designing the future.

The post The feminine future of wealth appeared first on International Finance.

Green finance has become a toolkit for funding real assets that cut emissions, protect natural resources and harden economies against climate shocks, from solar parks and efficient factories to cleaner transport, water systems that waste less and infrastructure that withstands heat and floods.

Investors who once chased stories now demand numbers, asking how many megawatt hours will be saved, how many tonnes of carbon will be avoided and whether those claims will stand up to independent verification over time.

Green finance ties the use of proceeds or the performance of a borrower to quantifiable environmental outcomes that can be audited and priced, which is exactly what long-term capital wants in an era defined by risk, scrutiny and accountability.

For Oman, the alignment is straightforward, since the vision set by “Oman Vision 2040” calls for a more diversified economy built on innovation, skilled jobs and sustainability that preserves natural beauty while boosting global competitiveness and signalling seriousness to partners and markets.

The point is not to tick boxes for an external audience, it is to finance an economic transition that creates value locally, lowers costs of capital and strengthens the national balance sheet against volatility in a world already pricing climate risks.

Capital will not come because green is fashionable. It will come because projects can demonstrate clear benefits, present bankable documentation and deliver verified outcomes that de-risk investor decisions and justify better pricing and longer maturities.

The instruments are already proven, accessible and flexible enough to fit Omani priorities, which means the bottleneck is not novelty but execution with integrity. Green bonds and green loans direct money to labelled uses like solar generation, industrial retrofits or energy efficient desalination, where eligibility is clear, and the impacts can be tracked across the life of the asset.

Sustainability-linked loans and bonds go a step further by rewarding borrowers with lower coupons if they hit agreed performance targets, such as measurable reductions in energy use or increases in recycled water, which aligns incentives without restricting proceeds to a narrow list of assets.

Carbon markets can add a complementary revenue stream when projects produce verified emissions reductions, improving project economics and attracting international finance that wants both returns and impact.

When these tools are backed by honest data and credible reporting, the benefits compound, from access to new investor pools and longer duration money to a stronger national brand and more jobs across engineering, project finance, digital monitoring, maritime services, logistics and the circular economy that ties waste to opportunity.

Oman’s starting position is stronger than its critics concede, which is why urgency can coexist with confidence. Abundant solar and wind resources offer a comparative advantage for clean power and energy-intensive industries that want to decarbonise, while a strategic location and reliable institutions simplify supply chains and deal execution for investors who hate surprises more than anything else.

A growing base of industrial and logistics expertise means capability is not being built from zero, it is being upgraded for the next wave of investment in green hydrogen, power grids, storage and cleaner manufacturing, where scale, credibility and coordination determine winners.

Local banks are building the right teams and tools, while policymakers are giving explicit signals, with the Central Bank of Oman encouraging sustainable finance practices and transparent disclosures and capital market rules now enabling green and sustainability bonds and sukuk to be issued with confidence inside a clear framework.

Early movers matter in any market shift, and within banking, Sohar International has stepped out front by engaging clients, developing internal capacity and exploring climate-aligned lending so that more Omani projects qualify for green finance on terms that are fair, competitive and repeatable. This is how markets are built, by combining policy clarity with private capability and project-level data that turns goals into signed term sheets.

Proof beats promises

Green finance rewards clarity, and in Oman, clarity is beginning to deliver funding for real economy use cases, not just glossy brochures. In shipping and logistics, an Omani company secured a green loan from international lenders by presenting an energy efficiency business case grounded in data with a credible plan to cut fuel use and emissions that third parties could verify, which is the difference between a marketing deck and a financing package.

On rooftops and in small businesses, local retail programmes for solar and efficiency have already helped households and SMEs (small and medium businesses) lower bills, a reminder that the energy transition is not only about giga projects but about the cumulative effect of thousands of small decisions supported by accessible finance.

In heavy industry and energy, a coordinated push around green hydrogen has started to attract global developers who bring capital and technology, which is precisely the blend needed to derisk first movers and get steel in the ground.

The through line in each example is simple and repeatable, because clarity plus data equals money, and lenders will improve pricing and extend maturities when they can quantify savings or avoided emissions and see that those numbers have been independently checked.

This is how to turn climate objectives into competitive financing: by answering the two questions lenders always ask, how will this project perform under stress, and who will verify that it is doing what it claims as conditions change. When the answers are precise, prices improve, and when the answers are weak or vague, projects stall and costs rise, which is why internal discipline inside firms will be as important as external signalling by regulators.

Preparedness at the enterprise level is the fastest way to convert interest into funding, because the cheapest loan is the one that does not get delayed by missing documents and shifting targets. Start with a simple sustainability plan that explains the project, defines the expected environmental benefits and sets out how results will be measured, because lenders finance what they can underwrite, and underwriters need a plan they can file and revisit.

Build a baseline for emissions that covers Scope 1 and Scope 2 and the most material parts of Scope 3 where relevant, because credibility flows from showing where you stand before you promise how far you will go.

Choose the right instrument for the job. A green loan or bond, when the use of proceeds is clearly green and a sustainability-linked structure, when the goal is to improve performance over time across a broader corporate platform. Collect facts early, from feasibility studies and permits to signed contracts and a one-page summary that states impact per rial invested, because the summary focuses attention and the appendices carry the evidence.

Secure an external review to build trust and engage the bank at the start by asking what documentation, KPIs (key performance indicators) and reports it needs so that both sides are aligned on definitions, measurement and timing with no surprises later. This is about predictability, and predictable borrowers get better terms, more options and faster credit approvals from lenders trained to reward process discipline.

The system moves faster when everyone shares the same language and templates, which is why a “Green Finance Starter Programme” would pay for itself in velocity and volume. Many Omani SMEs want to participate but are unsure where to begin, so a national programme delivered through chambers and industry groups can teach teams to calculate a basic emissions baseline, select the right financing tool, prepare a short sustainability report and understand what assurance really means in practice.

Training must also target bankers, credit officers and FDI professionals, because deals close when borrowers and lenders align on eligibility, KPIs, verification and reporting, and that alignment comes from repeated conversations across a shared technical vocabulary.

Here, regulators can lean in with light but catalytic touch, as the Central Bank and investment authorities can back standard templates, share anonymised examples and celebrate early successes to create demonstration effects that pull others into the pipeline.

The outcome is not bureaucracy, it is speed, because standardisation reduces ambiguity, reduces legal opinions and reduces time to funds disbursement for projects that meet the criteria. The more predictable the process, the lower the risk premium investors will demand, which is how a policy choice about templates becomes a macro lever for lowering national financing costs.

Sovereign first, global ready

The fastest way to lose credibility is to appear to chase external agendas, which is why Omani green finance is rooted in national priorities and financial independence that serve domestic objectives first.

The goal is neither to mimic another country’s taxonomy nor to accept conditionality that undermines sovereignty. The goal is to channel capital to projects that strengthen the economic base, build industrial competitiveness and enhance environmental resilience under rules set and enforced at home.

Policy leadership by the Central Bank of Oman, the Capital Market Authority and the Ministry of Finance provides the backbone for this approach, ensuring that all green financing instruments are governed by clear disclosure and accountability standards that protect national interests while welcoming credible partners.

That is how to be globally ready without being globally dependent, by building a system that matches international best practice where it adds value while tailoring thresholds, definitions and reporting to Omani realities and sectoral priorities.

Sovereignty is not a slogan in this context. It is a series of design choices that keep governance, verification and enforcement aligned with national strategy so that the shift to sustainability remains strategic and durable, not transient and reactive. Markets can smell incoherence, and when frameworks wobble, capital retreats, which is why a sovereign-led, transparent and practical architecture is a competitive advantage in a crowded field of issuers and borrowers.

A credible framework requires practical rules that are stable enough for companies and banks to plan around, because nothing kills a pipeline faster than moving goalposts. It also requires capability, which comes from short, targeted training that equips lenders and borrowers to measure and verify impact with confidence, so that KPIs are not just acronyms on a slide but metrics embedded in operations and covenants.

Finally, it requires a visible pipeline of priority projects, from renewables and storage to industrial efficiency, low carbon logistics and green hydrogen, because capital prefers to shop from a shelf where the products are labelled, documented and ready for due diligence. Publish the shelf and refresh it, then watch how swiftly roadshows turn into mandates when investors see a line of creditworthy projects under a consistent policy umbrella.

Sovereign support should be targeted, not distorting, which is why a sustainable finance framework or a credit enhancement facility for early projects can attract private capital without crowding it out, especially in the first wave, where demonstration effects matter more than marginal costs.

The payoff is direct and measurable: lower financing costs, more international investment, stronger Omani enterprises and a stream of sustainable, high-quality jobs that anchor communities and expand the tax base.

Evidence from within Oman already shows the logic working in microcosm, which should embolden a scale-up in the next budget cycle. The shipping example proves that when a borrower presents a credible plan with independently checkable metrics, international lenders will line up to price efficiency gains and share the upside in tighter spreads or better tenors.

The household and SME programmes for rooftop solar and efficiency show that retail finance can be green, practical and popular when lower bills are visible within months, and repayment structures are simple, which builds a culture of demand that supports larger grid and storage investments.

The early momentum in green hydrogen shows how policy focus can draw global developers with both capital and technology, and it underlines the need to connect upstream ambitions to midstream infrastructure and downstream offtake with contracts that allocate risk fairly across the chain.

Stitch these strands together inside a coherent disclosure and assurance regime, and Oman will not have to persuade the market with slogans. It will persuade the market with term sheets and performance reports that speak for themselves.

Playbook for projects

Every firm that wants to tap green finance in Oman can follow a playbook that is short, disciplined and designed to survive sceptical due diligence, because scepticism is the default stance of any serious lender. First, define the project and its environmental logic in plain terms, then state the KPIs that will prove success and the methods for measuring them over time, which stops debates about purpose from consuming meetings that should be about terms and timelines.

Following these, establish a baseline for emissions that covers direct and indirect energy and the most material value chain components, because a baseline makes future claims legible and comparable across reporting periods and market cycles. Third, match the instrument to the reality, using green loans or bonds for defined green uses of proceeds and sustainability-linked structures when the value lies in performance improvement against credible targets rather than in a single pool of assets.

Fourth, pull together feasibility studies, permits and contracts, then condense the numbers into a one-page summary of impact per rial invested that lets decision makers grasp the economics and the environmental case at a glance without flipping through appendices in a marathon session.

Fifth, seek an external review early to build trust and surface any weaknesses before they are handed to a lender, which prevents avoidable delays and demonstrates professionalism to counterparties who value preparedness.

Finally, sit with the bank on day one and ask for its documentation, KPI and reporting expectations, then build your data room to that specification so there are no last-minute scrambles that raise doubts about execution capacity. This sequence is not glamorous, but it wins mandates because it respects how credit committees think and how risk is priced in competitive markets that reward certainty.

For SMEs, the path can be made even clearer through a national starter programme that demystifies the basics and lowers the cost of entry into green finance, which is where leverage per rial spent on training is highest. A programme delivered with chambers and industry groups can teach teams to calculate a basic baseline, choose a financing instrument, draft a short sustainability report and understand assurance, so that first-time borrowers arrive at banks with documents that are good enough to be taken seriously.

Training should be reciprocal, with bankers, credit officers and FDI professionals learning the same technical language so that meetings become exercises in alignment rather than translation, a shift that accelerates closings and reduces leakage in the pipeline.

Regulators can help by standardising templates, sharing anonymised case studies and publicly celebrating early deals that went right, which normalises the process and signals to the market that this is not a fad but a policy-backed shift with institutional energy behind it.

The net effect is compounding velocity, because the second wave of deals is always easier when the first wave created precedents that lawyers and lenders can reference without reinventing every clause.

The road to leadership

The reasons to act now are practical, not rhetorical, because global capital is already reweighting toward clean assets and credible frameworks, and the penalty for hesitation is opportunity lost to neighbours who move faster and offer better documentation.

Oman has the resources, the institutions and the policy direction to compete for that capital at scale, but the deciding factor will be the boring excellence of documents, baselines, KPIs and third-party checks that earn trust across borders and credit cycles.

Even the best solar resource does not finance itself. It needs a borrower who can prove savings, a regulator who can guarantee standards and a lender who can price risk with confidence, which is why the blocking and tackling described above will matter more than slogans on conference stages.

The good news is that the building blocks exist, from local banks assembling green finance capabilities to authorities enabling green and sustainability bonds and sukuk and early projects showing that money follows numbers when the numbers are honest.

The next chapter will be written by teams that execute the playbook and by policymakers who protect national interests while opening the door to credible partners under rules that elevate trust over hype, process over improvisation and performance over promises. If that discipline holds, Oman can turn vision into velocity and make green finance not just a headline, but a competitive advantage that compounds across a generation.

The post Oman turns vision into green power appeared first on International Finance.

Blockchain is opening up new money flows, cross-border transactions are speeding up, and artificial intelligence (AI) is revolutionising financial processes. At the same time, businesses are being forced by regulatory changes to incorporate compliance technology, which will ensure their resilience at a time of increased scrutiny.

B2B finance is at a turning point. In addition to changing the financial infrastructure, the convergence of these advances is radically changing how businesses control risk, streamline processes, and spur expansion.

Businesses that successfully use fintech solutions will have a competitive advantage, while those that don’t adjust quickly run the risk of becoming obsolete in the rapidly digitalised financial sector.

The quickening of business payments

As businesses seek quicker, more affordable solutions, the global payment infrastructure is changing. By the end of 2025, it is anticipated that the total number of cross-border blockchain transactions will have increased by 48% year over year to $5 trillion. The demand for smooth, real-time settlement solutions is expected to propel the worldwide payment processing industry, valued at $79.6 billion in 2024, to more than double, reaching $161.9 billion by 2030.

In addition to speeding up transactions, this development is forcing companies to reconsider their financial arrangements and hastening the use of financial products based on blockchain technology to improve liquidity management and maximise cash flow. This growing reliance on digital assets is ushering in a more automated and decentralised corporate finance ecosystem.

Digital asset usage in corporate finance is becoming a strategic imperative rather than just conjecture. Blockchain technology is used by financial institutions and global firms to improve security, liquidity management, and transaction efficiency.

Early blockchain projects were mostly limited to experimental pilots, but due to institutional demand, regulatory changes, and cost-saving advantages, corporate adoption has now moved to full-scale implementation.

Due to growing corporate adoption, the financial blockchain market is expected to reach $49.2 billion by 2030. Tokenisation is driving this change, as companies digitise financial instruments, commodities, and real estate to enhance liquidity and tradability.

Experts predict that the demand for tokenised assets will surpass $600 billion. Tokenised assets are already being incorporated by businesses into trade settlement, supply chain finance, and cross-border transactions, which lowers counterparty risks and shortens settlement times from days to seconds.

At the forefront of this change are institutions. Leading exchanges are modifying their models to include institutional-grade digital assets, while international banks and asset managers are introducing tokenisation platforms to enable blockchain-based financial instruments. The distinction between decentralised finance (DeFi) and traditional finance is starting to become less clear, opening up new avenues for investment vehicles and capital markets.

But there are still obstacles in the way of widespread acceptance. As different jurisdictions adopt varying approaches to digital asset monitoring and compliance regimes, regulatory uncertainty remains a major concern.

While some regions, like Singapore and the European Union, have taken proactive measures to set clear regulatory norms, others are still figuring out where they stand. Businesses’ approaches to risk reduction, security procedures, and compliance will be influenced by these changing policies.

Businesses that successfully integrate tokenisation into their financial strategy will be positioned for long-term success in an increasingly digitised and decentralised global economy, even though adoption will move at varying rates across industries.

The institutional shift and CBDCs

Central Bank Digital Currencies (CBDCs) are still developing, but more slowly than first thought. Citing the need for legislative clarity, interoperability testing, and risk assessment, about one-third of central banks have postponed their intentions to introduce digital versions of their currencies.

Most, however, are still driven to keep control over monetary policy and currency issuance and are dedicated to eventual adoption. The increase in cross-border wholesale CBDC initiatives over the past few years is indicative of an institutional focus on improving interbank settlements and simplifying international financial flows.

The People’s Bank of China (PBOC), the European Central Bank (ECB), and the United States Federal Reserve are among the central banks that have started pilot programmes to test the infrastructure for digital currency transactions at the wholesale level. Project mBridge, which links banks in China, Thailand, the United Arab Emirates (UAE), Hong Kong, and Saudi Arabia, is one of them.

Wholesale CBDCs are emerging as a more attractive option for large-scale corporate transactions, liquidity management, and cross-border trade financing as central banks concentrate on improving interbank settlements and simplifying international financial flows.

Adoption of CBDCs has important and encouraging ramifications for businesses. Reduced transaction costs, quicker settlement times, and less dependence on middlemen are all advantages for businesses involved in international trade.

By facilitating quicker settlement times and lowering reliance on intermediary currencies, wholesale CBDCs have the potential to lower foreign exchange risks, especially in emerging markets where operational difficulties are caused by currency volatility. CBDCs could reduce the risks related to foreign exchange swings in cross-border payments by facilitating direct currency exchanges and improving transparency in cross-currency transactions.

Despite these benefits, privacy laws, their influence on monetary policy, and cybersecurity issues remain major barriers to widespread adoption. The digital currency frameworks of some jurisdictions, like China and the UAE, are developing quickly, but others are still cautious and are waiting for more precise guidelines regarding the governance of CBDCs and their integration with current financial systems.

Businesses must keep up with changing technology and regulatory environments as CBDCs continue to grow. Navigating the next stage of financial digitisation will require an understanding of how digital currencies fit into global payment infrastructure, liquidity management, and corporate finance. This emphasis on ongoing learning and adaptation highlights the significance of remaining informed and proactive in the rapidly changing fintech world.

Future of enterprise finance and AI

Artificial intelligence is evolving from a tool for efficiency to a fundamental component of enterprise finance, changing everything from sophisticated financial modelling to real-time risk management. As businesses scramble to incorporate automation and machine learning into financial operations, investments in AI-driven compliance, fraud detection, and predictive analytics are increasing.

The B2B banking industry has proven AI’s usefulness for automated risk assessment. It enables businesses to examine large financial data sets to identify irregularities and make previously unheard-of credit risk predictions.

Real-time transactional behaviour analysis by AI-driven fraud detection systems, which are already integrated into international payment networks, can reduce financial crime losses by up to 50% by flagging questionable activity.

Corporate finance is also changing as a result of the emergence of generative AI. Complex legal documents, contract analysis, and regulatory compliance reporting are now processed by AI-powered automation, which can reduce processing times by up to 90%.

Businesses now face additional security and regulatory problems as AI develops. Although AI improves financial decision-making, authorities are examining AI-driven financial services more closely, so companies must use understandable AI models to ensure compliance and transparency.

For financial organisations, investing in AI is now a strategic need rather than an option. In an increasingly automated and data-driven economy, businesses that do not incorporate AI-powered financial solutions run the danger of falling behind.

Fintech adoption for compliance

Regulatory compliance is still a major concern as financial technology changes business interactions. Businesses are being forced to reconsider how they handle compliance as a result of the growing complexity of international financial regulations, as well as the emergence of digital assets, AI-driven financial services, and CBDCs.

Regulatory technology (RegTech), which offers automated solutions for risk assessment, fraud prevention, and real-time monitoring, is becoming an increasingly important part of enterprise fintech plans.

Several important causes are driving the need for RegTech. Businesses that conduct cross-border operations must adhere to several regulatory frameworks, which raises the cost and difficulty of reporting. Businesses may automate compliance procedures with AI-powered RegTech solutions, guaranteeing adherence to changing jurisdictional standards while lowering operational risks.

As businesses enhance automation to manage regulatory complexity, the RegTech industry is expected to grow at a compound annual growth rate (CAGR) of 21.6% from its 2023 valuation of $11.7 billion to $83.8 billion by 2033, according to Allied Industry Research.

AI is already being used to expedite manufacturing, healthcare, and financial regulatory procedures. By automating risk assessments, fraud detection, and legal reporting, RegTech platforms powered by AI have been demonstrated to dramatically lower compliance costs. AI-based solutions have reduced document filing times in legal departments by 90%, improving operational effectiveness and reducing compliance expenses.

Initiatives for digital compliance are also being accelerated by governments and financial institutions, especially in light of the growth of digital currencies and decentralised finance (DeFi). Regulatory frameworks must change as blockchain-based transactions and CBDCs become more popular in order to adequately supervise these financial innovations.

Businesses that don’t incorporate automated compliance solutions run the danger of facing fines from the government, being investigated, and experiencing operational inefficiencies.

Businesses can lower compliance expenses, improve fraud detection capabilities, and increase the effectiveness of regulatory reporting by utilising RegTech. Integrating AI-powered compliance technologies enables businesses to manage changing regulations and reduce the dangers of financial crime.

Businesses that proactively deploy RegTech solutions will be better equipped to handle the increasingly complicated global regulatory environment as financial technology continues to evolve at a rapid pace.

In order to negotiate an increasingly complex legal environment, businesses must make sure that their infrastructure is ready for the integration of digital assets, engage in staff development to maximise AI applications, and have strict compliance procedures in place. Cybersecurity is still a major worry, and to protect digital transactions, firms must implement advanced risk mitigation techniques.

Despite the traditional lag in B2B financial technology adoption compared to consumer finance, 2025 represents a significant shift. Failure to integrate financial technology puts businesses at risk of operational inefficiencies and decreased competitiveness, especially as the sector transitions to full-scale digitisation. Moving from trial adoption to strategic deployment is now essential, making sure that technology investments solve particular operational issues and provide quantifiable corporate value.

Opportunities are being created by the quickening adoption of financial technology, but businesses that don’t make strategic plans may find it difficult to remain resilient in a setting that is changing quickly. Enterprise transactions in the future will be shaped by companies that adopt digital finance innovations now; those that do not run the risk of becoming permanently behind in a financial ecosystem that is changing quickly.

The post Fintech’s next revolution appeared first on International Finance.

Nazneen Abbas is a certified financial advisor from the Chartered Insurance Institute of London, and brings more than four decades of experience in navigating the complex intersection of wealth, family relationships, and long-term planning. Through Ma’an, she assists families across the Gulf, including high-net-worth individuals and multi-branch business households. She helps them create intergenerational structures based on empathy, purpose, and foresight.

In an exclusive interview with International Finance, Ma’an founder Nazneen Abbas discusses the changing priorities of legacy planning in the UAE. She highlights the unique challenges faced by first-generation entrepreneurs and the increasing need for governance, clarity, and structured continuity. She explains how Ma’an helps families navigate legal reforms, cross-border complexities, and multi-generational dynamics, ensuring that wealth, values, and intent are preserved across branches and future generations.

IF: What unique challenges do first-generation entrepreneurs in the UAE face when planning to transfer their wealth across generations?

Nazneen Abbas: In the UAE, many of today’s business owners are pioneers who built their enterprises from scratch, often without inherited structures or precedents to follow. Their focus was growth, not governance. The most unique challenge they face is accepting that legacy planning must be treated as a formal part of their business plan. They are often unable to step back from the business and look at it as a family enterprise. To them, it remains my business, built through their own discipline, focus, and hard work.

They often believe that the next generation will naturally follow the same discipline, focus, and systems they relied on. But the coming generation will not mirror their journey, and that is precisely why structured governance, continuity frameworks, and defined responsibilities must be put in place. The challenge often lies in accepting that their families genuinely need those frameworks.

How can Ma’an help guide the UAE’s first-generation business owners through the complexities of ensuring their legacy is passed down successfully?

Our work at Ma’an begins with clarity. We bring families together to understand what legacy truly means to them beyond ownership and valuation. For most first-generation entrepreneurs, the business is their identity. So we help them separate emotional attachment from strategic planning without losing either.

We create frameworks that allow founders and their heirs to discuss everything from governance to liquidity, and from succession roles to shareholder protection. It’s never about telling them what to do; it’s about facilitating a process where they themselves arrive at their own unique solutions.

For instance, when families own multiple entities, we help them design continuity plans through structured financial solutions that account for valuation, liquidity, and tax implications. The goal is to preserve both the business and the relationships that sustain it.

How have recent changes in inheritance laws in the UAE impacted legacy planning for families, especially those with international connections?

The UAE has made remarkable progress in building legal clarity around inheritance and succession. Expat families, both non-Muslim and Muslim, now have multiple avenues to register Wills and structure estates in alignment with their home jurisdictions. For families with global footprints, these changes have been transformative. They can now align UAE assets with offshore trusts, foundations, and holding companies. That harmony between local and international structures is what gives true continuity.

What are some of the most significant legal hurdles that families in the UAE still face when planning for succession, and how can these be overcome?

The main challenge is fragmentation. For instance, families can tend to have real estate under one name, corporate holdings under another, and life’s savings scattered across jurisdictions.

Another hurdle is understanding how inheritance laws interact across borders. At Ma’an, we bring this coordination into one framework to ensure that every legal structure speaks to the others. It’s what prevents future conflict and ensures that the founder’s intentions hold long after they are gone.

How does Ma’an approach multi-generational wealth planning, particularly in the context of extended family structures common in the Middle East?

Most established business families in the Middle East are rarely nuclear. Many come from South Asian and Southeast Asian cultures where extended families traditionally live together, and it is common to find multiple family members involved in the same enterprise.

Our approach begins with acknowledging that we are not here to advise families on what to do. We act as mediators. We provide the infrastructure to bring the decision-making members of the family together around one table. From there, we work to understand the shared vision of the family, because our aim is not just to distribute wealth, but to carry forward the family’s values and intent.

As we often say, clarity at the top prevents confusion at the bottom. By helping the key members articulate what the family stands for and where they want to go, we establish a foundation that guides leadership transition, participation, and continuity across generations. Ultimately, our aim is not just to redistribute wealth but also wisdom.

What are the key considerations for families with diverse branches when planning for wealth transfer in the Middle Eastern context?

The more diverse the family branches, the more important the framework becomes. When several members, entities, or assets are involved across generations, the structure must be designed thoughtfully and specifically for that family.

Since no two families are alike, the solutions we offer differ markedly. For some, it may be a foundation, for others, holding companies, for some, it may be well-structured Wills, and for others, family constitutions or even perpetual family banks. Every family’s needs, culture, and vision are different, so the continuity framework must reflect their unique reality.

Our role is to provide the right mechanisms for the right family to ensure that their wealth, values, and governance evolve cohesively across branches and generations.

How do you ensure that the needs of children of determination are fully integrated into a family’s legacy planning strategy?

This is one of the most sensitive and deeply human parts of our work. For families with children of determination, legacy planning goes beyond inheritance and ventures more into security and dignity.

We design special frameworks that ensure these children are financially protected for life while maintaining their rights within the broader family structure. This may involve setting up dedicated financial solutions or trusts that safeguard long-term care, education, and medical needs. More importantly, we help parents communicate these provisions to siblings so that there’s awareness, empathy, and inclusion. The most sustainable plan is one that the whole family understands and supports.

What are some of the common misconceptions families have when planning legacies for children of determination, and how does Ma’an address these?

Contrary to common assumptions, families are generally well aware of their responsibilities. They come prepared, often having already drafted Wills, appointed trustees, and documented care instructions.

The real misconception lies in placing too much burden on siblings. So we help families move beyond the basics of naming trustees or allocating responsibilities. We create detailed financial plans, often in the form of structured, recurring income streams, so that funds reach the sibling supporting the family in a timely and responsible way. This avoids the challenges of easy lump-sum access, which can be mismanaged even without bad intent, especially in emergencies.

What makes the UAE an attractive destination for international families seeking to structure their estate plans, and how does Ma’an assist them in this process?

The UAE has positioned itself as one of the most progressive jurisdictions globally for estate and succession planning. The legal infrastructure provides flexibility for expat families with various solutions. In addition to the civil-law system used by UAE courts, there are internationally recognised financial free zones like DIFC and ADGM, independent jurisdictions with their own common-law frameworks, regulators, and courts.

For us, it is a case of creating a bridge between intent and implementation. We help families align their UAE structures with global ones. Our role is to make sure the entire ecosystem functions seamlessly, without conflict or duplication.

What are the key cross-border challenges you encounter when dealing with international estate planning, and how can these be managed effectively?

The most common challenge is jurisdictional overlap, where assets, heirs, and governing laws exist in three or four countries. A Will valid in one jurisdiction may be contested in another, or tax treatment may vary dramatically.

We manage this by building collaboration across disciplines. Our framework integrates legal, financial, and tax perspectives from the start. We make sure the framework doesn’t wait for problems to arise but has already accounted for what’s to come. The goal is to ensure every document, every Will, trust, or foundation, works as part of one living plan rather than isolated pieces.

What do you believe is the most important factor in building a successful legacy plan that truly reflects a family’s values and vision?

Authenticity. A family’s legacy must mirror who they are, not what others think they should be. Too often, families replicate structures they’ve seen elsewhere without asking whether those structures reflect their own values.

When we work with clients, we start by asking questions that have nothing to do with money: What principles guided your journey? What values should your name carry forward? Once those answers are clear, the structures follow naturally. A successful legacy plan is a translation of a life’s purpose into continuity.

As someone with decades of experience in financial advisory, what message would you give to young entrepreneurs just starting to think about their legacy?

There are two parts to this. For young entrepreneurs who are second or third generation, their journey often depends on what the family elders have put in place. If a patriarch or matriarch has already created strong structures such as a family constitution, governance frameworks, or estate plans, the younger generation benefits from clarity and continuity. Their responsibility is to understand and follow the systems laid out before them.

For those who are first-generation creators, legacy is not something they typically think about early. But as they begin their professional journey, they should consider simple preparatory measures such as basic structures that keep their finances clean, organised, and future-ready. As life progresses and their enterprises grow, they can transition to more sophisticated solutions. Legacy planning does not need to start big. It just needs to start with intention.

The post Empathy guides wealth planning, says Ma’an founder Nazneen Abbas appeared first on International Finance.

Starting with early rule-based programmatic trading in the 1970s and 1980s, finance firms have long applied statistics and computing to markets. In the 1990s and 2000s, machine learning and neural networks added sophistication.

For example, hedge funds like Renaissance Technologies hired PhDs to use AI for pattern recognition. Today, we stand at a new inflexion point with generative AI and large language models that can process massive streams of text and data and even suggest novel trading ideas. As one Wharton finance expert notes, AI’s evolution “from algorithmic trading to personalised advice” has made finance “fertile ground for AI innovation.”

Applications of AI in finance

AI is now embedded in many financial processes. Broadly, AI serves in trading, analysis, and operations. In trading, automated systems place orders faster than any human can. High-frequency trading algorithms, often powered by machine learning (ML), make thousands of small trades every second to exploit tiny price discrepancies. Many of the largest trading venues are dominated by such “automated trading” in highly liquid assets. In other domains, AI systems read and summarise information.

For example, NLP tools scan newsfeeds and social media to gauge market sentiment, a process known as sentiment analysis. A sudden burst of negative tweets about a company might trigger selling by algorithms. In risk modelling and compliance, AI churns through vast data to calculate creditworthiness or portfolio risk in real time.

Advisors and insurers use AI to predict defaults or claims, while banks deploy chatbots to handle customer queries. In short, AI touches everything from trade execution to loan approvals and is effectively “democratising” access to analytics that only big institutions once had.

The influence of AI and algorithms is clearest in a few headline-grabbing episodes. In January 2021, the GameStop saga showed the power of social sentiment and automated strategies. A surge of retail traders on Reddit’s WallStreetBets sent the share price of the video-game retailer GME skyrocketing over several days.

Hedge funds that had short positions in the stock rushed to close them. Eventually, trading apps temporarily halted trading, igniting a political firestorm. Researchers note that “retail investors using the Robinhood platform” collectively drove the sharp price swing. Although that episode was driven by human coordination online, it attracted algorithmic responses, with some trading bots detecting the rapid price trend and either piling in or pulling out, amplifying volatility.

AI-driven trading has also featured in the activity of quantitative hedge funds. Firms like Renaissance Technologies, Two Sigma, DE Shaw, and others have long used machine learning to devise strategies. A 2019 survey identified those four as pioneers in AI-driven investing. These firms process vast alternative datasets, from satellite imagery of retail parking lots to aggregated price patterns, looking for subtle predictive signals.

For example, AI can spot that a retail chain’s lawns are greener or read thousands of local news sites to update earnings estimates. In late 2022, Reuters reported Renaissance’s quant funds using models to target returns. Although strategies are secretive, experts agree that AI “provides a competitive advantage” in systematic trading.

AI and social media can also combine in troubling ways. Studies and news accounts warn of sentiment manipulation using bots. In a recent report, experts imagined hundreds of AI-generated social media profiles pushing a narrative about a stock. Real people reacting to the buzz drive the price up or down, while those who detect the narrative profit.

The danger is that neither the promoter nor some of the manipulators even realise they’re part of a larger AI-driven scheme, making enforcement hard. In practice, regulators have seen smaller-scale attempts in crypto and DeFi, where “malicious actors…deploy AI bots” on platforms like Telegram to hype assets.
These examples highlight how automated sentiment analysis and engagement can influence markets, sometimes legitimately, with bots surfacing true trends and at other times through coordinated pumping.

Speed, scale and smarter markets

The attraction of AI in finance is clear, as it does things humans cannot. Speed and automation are paramount. Machines can execute orders in microseconds and monitor markets around the clock, far faster than any trading floor. This rapid processing tightens bid-ask spreads and improves liquidity in normal times.

As the IMF notes, technology has “improved price discovery, deepened markets, and often dampened volatility” in normal periods. AI also excels at scalability and data processing. Financial markets generate enormous volumes of data on prices, news, social posts, filings, and satellite images, and AI can sift through it all.

Advanced neural networks and LLMs (Large Language Models) can turn unstructured text into structured signals. For instance, a generative model can instantly read a regulatory filing or earnings call transcript, flagging risks or opportunities. The IMF notes that generative AI lets investors “process very large amounts of unstructured, often text-based, data,” which can improve forecasts and price accuracy.

Another benefit is pattern recognition and precision. AI algorithms can spot complex statistical patterns that humans cannot see, such as nonlinear relationships or high-dimensional correlations.

In portfolio management, for example, deep-learning models and reinforcement learning (RL) can adapt trading rules over time. Quantitative analysts now use RL to optimise asset allocation dynamically, a method well-suited for constantly shifting markets.

These models “identify complex patterns in large datasets” by using millions of parameterised rules, going far beyond traditional formulae. In effect, AI can tailor strategies to ever-changing conditions, learning minute details of market microstructure.

This leads to efficiency and consistency, and routine tasks like compliance checks or customer service get automated via RegTech tools and chatbots, freeing humans for higher-level thinking. In trading, even a tiny improvement can be valuable. A recent AI pilot by HSBC reportedly found a quantum-enhanced model that improved trade-fill predictions by 34% over classical methods.

Finally, AI can open new markets and lower costs. According to the IMF, AI tools are reducing barriers to entry and making it feasible for smaller firms or even individuals to analyse less-liquid markets like emerging debt or certain commodities. By automating research, coding, and data gathering, generative AI might lower the expertise needed to trade exotic assets.

In retail finance, AI-powered robo-advisors have democratised wealth management. One report notes that about half of retail investors say they would use ChatGPT or similar AI to choose or rebalance investments.

This suggests AI is making advanced analysis available to “anyone,” not just Wall Street. Overall, proponents argue these gains, faster reactions to news, more thorough analysis, and automation, should make markets more efficient and investors more informed.

Herding, black boxes and volatility

AI in finance may sound like an interesting and exciting concept, but it is not risk-free. A key concern is model correlation or “monoculture.” When many firms use similar data and algorithms, their trades tend to move together. Regulators and economists warn that this can amplify swings.

For example, if numerous deep-learning models all see a similar signal, they might simultaneously sell stocks, creating a cascade. The Bank of England and the SEC have warned that advanced AI’s “hyper-dimensionality” and shared data sources could lead to just a few dominant models or data providers. In practical terms, a “monoculture” of strategies can increase market correlations and herding. In stressed markets, this may cause liquidity to evaporate suddenly.

A recent IMF analysis noted that many algorithmic funds include safety mechanisms that can all activate at once, causing feedback loops. The 2010 “Flash Crash” is a cautionary example of an automated sell order in one market leading to a chain reaction, briefly knocking 1,000 points off the Dow within minutes.

Though that crash predated today’s AI, it illustrates the danger of automated systems acting in unison. Experts now worry AI-driven trading could produce even faster and larger moves.

Closely related is model opacity and explainability. Modern AI models are often “black boxes” that even their designers cannot fully explain how a specific trading decision was reached. This poses problems for oversight. If an AI fund suddenly accumulates a large position in an obscure asset, regulators might not understand why.

The IMF notes that market participants insist on human oversight and explainable strategies, avoiding purely “black box” approaches. Likewise, a recent Sidley (law firm) report warns that deep-learning and reinforcement-learning systems can have “emergent behaviour” that current market rules aren’t built to catch.

For example, if an AI learnt to detect fraud or manipulate prices in some non-obvious way, standard surveillance systems might miss it. The opacity also raises ethical concerns. How do we verify that AI decisions are fair and unbiased? Finance is littered with historical biases, so an AI trained on past records might perpetuate discrimination. Wharton researchers point out that “bias in AI models is particularly pertinent” in finance, especially lending and insurance.

There are also privacy and manipulation issues. Bad actors can use AI to tailor scams or spread disinformation. SEC Chair Gary Gensler warns that AI-driven narrowcasting can facilitate fraud by zeroing in on individuals’ vulnerabilities. Indeed, regulators have already flagged concerns about AI-generated “deep fakes” of company announcements or rumours that could jolt markets.

Finally, there is the risk of systemic volatility. Many worry that AI might make crises worse by speeding up decision-making. In turbulence, when computers pile into or out of trades in milliseconds, prices can swing violently.

The Sidley report cites the IMF in noting that many AI strategies include circuit-breaker logic that all trigger together under unprecedented moves, risking a sudden freeze of liquidity. In other words, while AI may “damp down” routine volatility by making markets more efficient, it might also set the stage for faster, sharper shocks. Small errors or adversarial attacks on widely used models could propagate quickly across markets. There’s also a concentration risk, and just a few tech firms provide the most advanced AI services and cloud infrastructure, so outages or cyberattacks could disrupt financial systems more broadly.

Governance meets technology

Awareness of these issues is growing. Governments and regulators worldwide are moving to govern AI in finance. In the EU, for example, the new AI Act will classify many financial AI systems as “high-risk” and impose strict obligations.

Practices like AI-based credit scoring or risk pricing will have to meet transparency, data quality, and audit requirements. The stated goal is “consistency and equal treatment in the financial sector.”

Financial institutions are also starting to set their own AI governance. Many banks now require human sign-off on automated strategies. Investment funds maintain “model risk management” teams to test how strategies behave under stress. After the GameStop episode, social platforms began cracking down on stock-promo groups. And financial regulators update rules in light of faster trading speeds.

Still, experts say more will be needed. For example, regulators worry about a lack of transparency when nonbanks use cutting-edge AI outside full supervision. There are calls for international coordination, like the Financial Stability Board surveying AI preparedness in different countries.

Another trend on the horizon is quantum computing. While today’s AI uses classical computers, quantum machines promise even more power. If scalable quantum computers arrive, they could revolutionise optimisation and simulation problems in finance.

Banks are already experimenting. In 2025, HSBC announced a pilot with IBM showing that a quantum algorithm could predict bond trade outcomes 34% better than classical methods.

UBS, Citigroup, and others are researching quantum for portfolio optimisation and risk analysis, and analysts estimate the “quantum technology” market could reach $100 billion by 2030.

In plain terms, quantum computing could solve certain portfolio or pricing problems much faster than today’s fastest supercomputers. However, practical quantum advantage remains in early stages, and much of that promise is years away. Even so, finance leaders like HSBC’s quantum head call this a “new frontier” in computing for markets.

Tale of two traders

The AI wave affects big institutions and small investors differently. Large financial firms such as banks, hedge funds, and trading firms have the resources to develop sophisticated AI. They run vast data centres, hire machine-learning experts, and deploy cutting-edge models.

These institutional players have led the AI adoption for over a decade as they’ve used automated algorithms in HFT and complex derivatives trading. They also invest in AI for risk management and compliance. Because of their scale, they have an edge in computing speed and data access.

Retail investors have lagged but are catching up. The same chatbots and analysis tools that institutions use are now available to individuals in a lighter form. As one industry report noted, about half of retail investors say they would use AI tools to pick or adjust investments, and around 13% already do. User-friendly platforms now offer AI-driven advice and portfolio screening.

For example, retail-friendly robo-advisors automate investing for individuals with modest accounts. Even individual day traders are experimenting with off-the-shelf AI bots or sentiment-tracker apps. Indeed, the widespread curiosity about ChatGPT and AI has “democratised” access to analysis once reserved for big banks. One former UBS analyst remarked that using ChatGPT for stock research was akin to “replicating many workflows” of an expensive Bloomberg terminal.

Balancing innovation and stability

AI’s role in finance is growing fast. As the IMF puts it, generative AI is the “latest stop on a journey” where technology incrementally improves markets. Its benefits in faster processing, new insights from data, and lower costs have already transformed many aspects of trading and investment.

But the journey is not without bumps. Our analysis shows that there are real risks that correlate with AI models, as they could unintentionally synchronise market behaviour, create opaque algorithms, trigger flash crashes, and mislead investors.

Addressing these issues will require vigilance and innovation on their own part. Regulators are awakening to the challenge, calling for AI governance frameworks and updating rules for our faster, more complex markets.

Financial firms are instituting controls on things like explainability requirements and kill switches for trading bots. Meanwhile, new technologies on the horizon, like quantum computing, promise even more powerful tools.

In the end, the AI transformation in finance mirrors other revolutions by creating opportunities and pitfalls. The central question will be how these systems are deployed. Used wisely, they can make markets more efficient and accessible to more people. Used recklessly, they could amplify our worst crashes or widen inequalities.

For investors and policymakers alike, the task is to harness AI’s ingenuity while keeping our collective financial system resilient. Industry leaders must ensure AI markets remain “transparent, fair, and inclusive,” even as the algorithms get ever smarter.

The post AI drives change in global markets appeared first on International Finance.

The primary reason is the retrenchment from traditional banking that followed the 2007-2008 global financial crisis. The phenomenon led to a shift away from legacy lending, while debt markets and shadow banking took centre stage.

Since then, we have seen global economic uncertainty in the form of the COVID-19 pandemic, the Russia-Ukraine war, geopolitical volatility in the Middle East and more recently, whenever United States President Donald Trump says something on social media or is in front of a camera.

The reductions in workforce are not solely a result of market volatility; they are also influenced by increasing regulatory pressures. This includes proposals related to the Basel III Endgame, which will require banks to strengthen their capital reserves across various lending sectors. Additionally, liquidity regulations are likely to reduce banks’ willingness to extend longer-term loans, noted McKinsey.

Sensitive to market shocks and stymied by policy, private credit has come in, with a recent EY report suggesting that “Europe accounts for roughly 30% of the private credit market.” Investment in infrastructure and energy is an important driver of growth across the continent, and private credit is “likely to be a key enabler of the global green energy transition” with “estimates suggesting that between $100 trillion and $300 trillion will be needed by 2050,” the EY report said.

Private credit has seemingly become a staple of the financial landscape, a counter-cyclical hero in economic downturns, but what happens when private capital encounters jurisdictions with geopolitical instability, and to what extent are financial markets exposed to risks that remain invisible to them?

Private credit explosion

After the global financial crisis (GFC), the collapse and near collapse of some of the too big to fail banks served to kickstart the Great Recession, the worst global downturn since the Great Depression, during which millions lost their homes, their savings and their jobs.

Although the economic downturn impacted private credit, the data show that historically, private equity portfolios have generally shown shallower peak-to-trough declines than the public markets, and while the banks had to curtail their exposure, the private deal-making environment rebounded in the second half of the recession, in 2009.

The post-GFC environment was the first true stress test for private equity, and it barely passed. A 2019 study of private equity during the Great Recession outlined that despite the increase in deals, fund managers in private equity “failed to take advantage of opportunities to buy high-quality assets at steep discounts.”

Analysts point to three characteristics that explain why private credit grew so rapidly in the past. Unlike the banks, PE has easier access to capital and more freedom to deploy it, and as a result, PE can grow market share and assets faster during a crisis. Active management is also the norm in most global funds, and value creation is heavily weighted.

This gave funds the green light to build new capabilities and initiate transformation projects. Finally, private equity is not very liquid, which can help insulate investors from the panic selling that usually occurs in times of economic downturns, when it often brings losses of 5-10% higher. The combination of higher yields, bespoke terms and less oversight makes private credit very attractive.

While private credit has exploded over the last 15 years, the success story contains reasons for caution, most notably the illiquidity risk (the ability to get money out of an investment quickly is normally a good thing, but it can be especially helpful in a downturn).

And with geopolitical instability rarely priced in adequately, cracks could develop very quickly, especially when it comes to geopolitical risks, which are particularly hard to hedge against due to the sudden and severe effects of political instability, trade disputes, war, cyberattacks, climate change and natural disasters.

Just weeks before Russia invaded Ukraine, Horizon Capital, the largest private equity group in Ukraine, had launched its fourth flagship fund. Sarah de St Croix, head of private funds at law firm Stephenson Harwood, said that it was essential to have provisions in place to allow fund managers to react to geopolitical events.

For example, “managers affected by a geopolitical event could lean on their common law right to force an investor to exit the fund where their continued participation violates law or regulation.”

Although these clauses had not been written with specific timing in mind, funds were able to “handle the situation of having a sanctioned investor in a commingled pool after widespread sanctions against Russian individuals were imposed in 2022.”

The GFC came after private credit went global, and geopolitical risk was not top of mind, but Weijian Shan, executive chairman and co-founder of investment firm PAG, said that “the geopolitical risks are very real now, you used not to have to think very much about it. Now you really need to think about decoupling risks; you really need to think about restrictions to the international flow of goods, people and capital.”

Resource nationalism

This is a fairly hard-edged way to look at it. Still, it does come into sharper focus about sanctions risks, political instability or local capital controls that would strand foreign investments, or populist governments reneging on investor protections.

Indonesia, a key global exporter of coal, palm oil, copper, gold and other minerals, produces 37% of the world’s nickel and has been pursuing a form of resource nationalism for a decade.

This has overlapped with heavy demand from China, and as Dr Eve Warburton of the Australian National University explains, “over this same period, the Indonesian Government introduced increasingly nationalist policies: new divestment obligations for foreign miners, a ban on the export of raw mineral ores, stringent new local content requirements and restrictions on foreign investment in the oil and gas sector, and observers noted increasing court cases and popular mobilisation against foreign companies.”

This matters given the key role nickel plays in the batteries of electric vehicles and in renewable energy storage, making Indonesia a central part of the global energy transition.

If the private credit market is not to become a victim of its own success, it will have to surmount some significant hurdles. Rapid growth has pushed funds into new niches, often in emerging and frontier markets where yields and risks are highest.

According to the Institute for Economics and Peace, “Today geopolitical risks are higher than at any time during the Cold War due to greater military spending, stalled nuclear disarmament, and a reduction in the power of multilateral institutions such as the United Nations,” and this is coupled with active wars in Ukraine and Gaza, US-China decoupling, growing political instability and polarisation, misinformation, and an increase in cross-border sanctions and capital controls.

Another issue for the industry is the risk of financial contagion. As any investor who has taken on private credit knows, that means anyone who has loaded up on private credit, whether pension funds, sovereign wealth funds or insurers, has more of their capital in opaque, illiquid private deals that are more vulnerable to losses that were neither expected nor fully priced for. A crisis in the private credit market would pose a systemic threat to the wider financial system.

The greater the reach of private credit funds into higher-risk jurisdictions to satisfy expectations for higher yields, the more the potential for sudden, catastrophic losses increases. Access to capital, flexibility, and the ability to go where banks will not go are the hallmarks of private credit’s success, but in an unstable world, those advantages can rapidly turn into liabilities. The next market crisis is unlikely to begin on Wall Street or in the bond markets. But it is a must in a foreign ministry, a war room, or a populist parliament. Private credit needs to be ready.

The post A decade of debt expansion appeared first on International Finance.

The initial burst of excitement around AI, which lasted from 2023 to 2024, was fueled by hype and billions of dollars in inflows (hundreds of billions of dollars) that many companies rode on without the profits to back it up.

The seven companies that did not need blockbuster profits to draw matching inflows, rocketing valuations based on future potential rather than current performance, are collectively referred to as the Magnificent Seven, which include Microsoft, Google parent Alphabet, Tesla, Amazon, Apple, Facebook parent Meta, and NVIDIA.

So, what connects the first six companies? Other than Apple (which spends a minuscule amount on NVIDIA hardware), they are all major customers of NVIDIA, buying boatloads of the semiconductor giant’s chips to train their large language models (LLMs) and power their AI. This is why NVIDIA ignited the AI rally, and the rally came with gains.

Shares of NVIDIA rose 239% in 2023 and another 171% in 2024, yet another strong year, but the heavyweight tech name has had difficulty finding traction so far in 2025. When the company posted 114% annual revenue growth at the beginning of the year, it was not enough to get traders and investors running to load up on the shares. In 2024 (fiscal 2025), the company reported $130.5 billion in revenue, which was more than double the previous year’s figure of $60.9 billion.

Investor response was a smattering of polite claps, yawns, and just enough buying momentum to keep NVIDIA’s shares relatively flat in the days after the February 26 earnings report that included fiscal 2025 performance. The muted market response might indicate that even the highest expectations had already been built into the price, or that investors are becoming less interested in fundamentals and more enamoured with the notion of stratospheric growth, given that NVIDIA blew out expectations by 265% year-over-year in Q4 2023.

When it comes to pumping their money into AI, investors are now looking at fundamentals like sustainable margins, monetisation strategies, and disciplined capital spending. Companies that can translate AI innovation into reliable, long-term profits will be the winners. Meanwhile, others may find it difficult to justify their higher valuations in a market focused on earnings. Some spending must happen before those earnings can take effect and, of course, be realised.

Capex: Hero or villain?

Capital expenditures (capex) are the money a company allocates to investing in innovation, upgrades, and new assets, such as hardware or software. For example, in the AI world, companies tend to spend on hardware and data centres to support high-performance computing.

The other thing is that capex tends to be much more unpopular with investors because the latter, again, want to see value today, and they want to see value in the next few months. They do not want to see value in the next year, let alone the next decade. With $80 billion in capital expenditure, 2025 has been a year of bold investments, with the “Magnificent Seven” showing their commitment to the future of AI.

Microsoft has invested $80 billion to grow its data centres and AI infrastructure to power its Azure cloud platform and its broader enterprise ecosystem, and its AI chatbot, Copilot, will become a standard part of the toolkit for businesses and consumers to streamline workflow and day-to-day tasks.

Microsoft is at the forefront of generative AI after it backed OpenAI, the parent of ChatGPT, with a 49% stake, thanks to a $13 billion bet, and Alphabet, Google’s parent, has pledged around $75 billion to similar efforts, bolstering its role in AI research and cloud services, much of which is going towards Gemini, Google’s generative AI model.

Amazon is making the biggest bet of all, with capital expenditures over $100 billion for 2025, and much of that will go into AI infrastructure for Amazon Web Services (AWS), the core of its enterprise operations and a key profit driver.

Meta has also sharply increased its guidance to a total of $60 billion to $65 billion, a nearly 70% increase from earlier estimates. Most of that big-ticket spending will be for warehouse-sized data centres to run the AI products across its apps, such as Facebook, Instagram, and WhatsApp.

The other “Magnificent Seven” members, Apple, Tesla, and NVIDIA, have not announced their capex plans, but their forward guidance and spending levels indicate ongoing, large investment in AI and related technologies, such as “Apple Intelligence,” which is the tech giant’s catch-up AI effort; Full Self-Driving (FS) by Tesla, its highest-level driver assistance software; and “Blackwell,” the next big thing in GPU and chip manufacturing for NVIDIA.

When viewed collectively, this investment wave in 2025, representing over $300 billion among the top players alone, is more than an optimistic note and represents a fundamental change in how value will be created in the next decade.

These firms are not backing down on their bold investment initiatives, despite market volatility, occasional pushbacks from investors, and macroeconomic challenges. They are investing today for tomorrow’s growth, knowing that the returns might not be immediate.

In AI 1.0, markets paid for guidance and expectations, but in AI 2.0, they pay for performance. The speculative phase is over, replaced by operational discipline and value creation based on the implementation of new technology.

With high interest rates compared to four years ago, the notion that capital has a cost has been reintroduced, and the focus has returned to those who have the upper hand, namely the big infrastructure players with pricing power and established supply chains.

What to expect in 2026

After a couple of years of heady share-price gains followed by a frenetic race to build out infrastructure, the market is now moving on to a new phase, one of execution, efficiency, and results.

Looking forward to 2026, three trends will be key to the AI earnings cycle, and enterprise adoption will be the true test. Is it being paid for at scale? Are workflows changing in ways that are both significant and monetizable? Do consumers need AI daily? These questions will require quick answers.

Energy prices rise, and infrastructure costs are high. The leaner, more efficient companies will be able to hold the line on profitability.

Competitive moats will matter, and by 2026, investors will need to know: Who owns the data? Who controls distribution? Who has proprietary models, scale advantages, or ecosystem lock-in? As the space matures, staying power, not just innovation, will differentiate the leaders from the waning hype.

Moreover, the companies that demonstrate resilience will be those capable of converting their massive AI investments into tangible, revenue-generating products and services. While the early phase of the AI boom rewarded ambition, the next phase will reward operational precision.

Investors will scrutinise not only how much companies spend, but how efficiently those dollars translate into ecosystem advantages, customer retention, and recurring revenue models. The winners will distinguish themselves through strategic discipline by balancing cutting-edge research with commercial clarity, securing critical infrastructure partnerships, and maintaining supply chains that can withstand global uncertainty.

Also, governments are moving toward stricter oversight of AI training data, model transparency, and the environmental impact of data centre expansion. Companies that anticipate these shifts, incorporating compliance into their core strategies rather than treating it as a last-minute obligation, will navigate the landscape with fewer disruptions and lower long-term costs.

Traditional tech giants will no longer be the only ones capable of delivering advanced AI solutions. Leaner, specialised firms may carve out niches in sectors such as healthcare, manufacturing, and cybersecurity. In this environment, adaptability becomes as critical as scale, and companies unable to evolve quickly will risk losing relevance despite earlier advantages.

The post Wall Street stops clapping for AI appeared first on International Finance.

All this was possible only due to the stewardship of His Highness Sheikh Maktoum bin Mohammed bin Rashid Al Maktoum, who served as the Minister of Finance during this transformation.

The numbers speak for themselves, as the federal budget swelled to a historic AED 92.4 billion while maintaining a perfect balance. Sovereign bonds traded at just nine basis points above US Treasuries, and credit ratings were at the pinnacle of investment grade.

It is essential to note that when His Highness Sheikh Maktoum assumed the finance portfolio in September 2021, the economy was reeling from post-pandemic volatility, and inflation was skyrocketing. To top it all off, there was geopolitical fragmentation in the Middle East.

But he didn’t try to defend the old world. He bet on transformation. His Highness Sheikh Maktoum aggressively reconstructed the UAE with a new financial architecture that positioned it as a mature global hub, rivalling Singapore, London, and New York on fronts like institutional depth and tax arbitrage.
A technocrat’s formation

Apart from holding a bachelor’s degree in business administration from the American University in Dubai, His Highness Sheikh Maktoum also attended prestigious institutions such as Harvard and the Dubai School of Government.

The influence of Harvard on this Gulf leader is unmistakable. His ministry employed several sophisticated financial strategies, including zero-based budgeting, counter-cyclical fiscal buffers, and data-driven, integrated policy frameworks. It’s an approach that demonstrates his preference for empirical concepts of data analysis over basic intuition.

His Highness Sheikh Maktoum wears many hats. He is the Chairman of the Dubai International Financial Centre (DIFC), which oversees over 1,000 regulated firms and 500 wealth managers. The role gives him intimate knowledge of global capital demands and an understanding of regulatory certainty, common law frameworks, and frictionless repatriation.

He has also served as the Chairman of the Dubai Financial Audit Authority since 2018. In this position, he developed an obsession with compliance and waste prevention that has become an integral part of federal procurement in the UAE.

As the Chairman of the Dubai Market Supervisory Committee, His Highness Sheikh Maktoum privatised and revitalised local exchanges. It is perhaps this intersection of federal authority and Emirati-level operational experience that allows him to create policy so lucrative and alluring to the global elite.

The ministry runs with corporate efficiency. There are key lieutenants, such as the Minister of State, Mohammed bin Hadi Al Hussaini, and Under Secretary Yunus Haji Al Khouri, who translate Maktoum’s vision into bureaucratic execution.

Their high precision and capacity allow decisions on bond issuances, tax clarifications, and budget reallocations to move lightning-fast. If it were not for them, the UAE would lag, just like any other traditional sovereign bureaucracy.

The fiscal pivot

The Maktoum era is very different from all that preceded it in terms of federal budgeting. For example, he adopted zero-based budgeting from 2022 to 2026, which represents a methodological revolution.

Most federal budgets are incremental, meaning they adjust the prior year’s allocation for inflation. Zero-based budgeting, on the other hand, forces the ministry to justify every item from scratch each cycle. It’s a move that results in brutal efficiency, eliminating legacy programmes that no longer serve their purpose and reallocating that capital to more immediate priorities, like digital infrastructure and human capital development.

And fiscal discipline might seem like austerity masquerading as prudence, but that’s not the case. Let’s examine the 2026 federal budget, which was approved in October 2025. There was a staggering 29% increase over the 2025 budget of AED 71.5 billion.

In just a couple of years, the budget expanded from AED 64.1 billion to AED 92.4 billion. Although there was a massive expansion, the budget, to everyone’s surprise, remained perfectly balanced. Projected revenues are matching expenditures to the dirham.

The Federal Government is slowly becoming an active investor, and not just a service provider. The expenditure is based on investment logic rather than consumption. As usual, social development consistently absorbs almost 40% of the budget. The state is very focused on boosting workforce productivity and human capital expenditure.

The budget saw the sharpest increase in the financial investment category, with an allocation surge for outward foreign direct investment and the capitalisation of federal entities. What’s impressive is the revenue diversification that supports this expansion. While global oil prices were very supportive, the ministry actively constructed a budget that avoided excessive dependence on oil revenues.

In 2026, revenue will come from value-added tax (VAT), the new corporate tax regime, and the domestic minimum top-up tax introduced in 2025. These measures have already proven effective in protecting the Emirati economy from significant fluctuations in oil prices.

The taxation revolution

His Highness Sheikh Maktoum oversaw the delicate transition from a zero-tax jurisdiction to a competitive tax jurisdiction, threading the needle between global compliance and commercial attractiveness. Effective for financial years starting on or after June 1, 2023, the regime is looking to reach full maturity and stabilised compliance by 2026.

The architecture reflects sophisticated policy design. A standard statutory rate of 9% applies to taxable income exceeding AED 375,000, making it among the lowest corporate rates globally compared to the roughly 23% global average. A 0% rate shields taxable income up to AED 375,000, protecting SMEs (small and medium enterprises) and startups with tight cash flows from the deadweight loss of taxation on marginal businesses.

The challenge of taxing the mainland without compromising Free Zone competitiveness was addressed through the concept of the Qualifying Free Zone Person, which allows for 0% tax on Qualifying Income. The dual-track system preserved the UAE’s status as a re-export and financial hub while bringing the domestic economy into the tax net.

The implementation of OECD Pillar Two rules via the Domestic Minimum Top-Up Tax showcased sophisticated financial diplomacy. Pillar Two mandates a 15% minimum global tax rate for multinational enterprises with consolidated revenues exceeding 750 million euros. If the UAE had kept its tax rate at 9% for multinational enterprises (MNEs), the additional 6% would have been collected by the home countries of those MNEs as a top-up tax. However, by implementing the Domestic Minimum Tax (DMTT), the ministry successfully secured this 15% revenue domestically.

The approach transformed a global regulatory challenge into a national revenue opportunity, allowing the UAE to retain tax proceeds that would have otherwise benefited foreign governments.

What makes this achievement remarkable is the absence of capital flight that typically accompanies tax regime changes. The ministry conducted extensive consultation with the business community, providing clear guidance and generous transition periods.

Under His Highness Sheikh Maktoum’s chairmanship, the Federal Tax Authority evolved into a robust enforcement agency. Apart from the grace period mentality meeting its end, corporate tax was described as a permanent fixture of business operations.

Rigorous audit protocols focused on transfer pricing to prevent profit shifting. New penalties for non-compliance were introduced, and the rollout of a decentralised e-invoicing model aimed to digitise the VAT trail and increase real-time revenue visibility for the Treasury.

Building the yield curve

Before 2022, the UAE Federal Government didn’t have a local currency debt market and mostly relied on reserves and individual Emirati issuances. His Highness Sheikh Maktoum had some visionary plans. He established the Debt Management Office and launched a dirham-denominated bond programme.

It wasn’t a move done to fund deficits, as he had none. Instead, it helped to construct a sovereign yield curve that is becoming the backbone for corporate debt pricing and provides banks with high-quality liquid assets. The Treasury Bond Programme (launched in 2022) and the Treasury Sukuk Programme (launched in 2023) provided sophisticated auction mechanics, helping primary dealers discover price.

The real test was the January 26 auction, when the ministry issued AED 1.1 billion in instruments. Demand reached AED 5.15 billion, indicating a 4.7-times oversubscription, reflecting deep liquidity and high investor confidence. The yield to maturity achieved was 3.6% for Treasury Sukuk and 3.9% for Treasury Bonds, representing a spread of just nine basis points above comparable US Treasuries.

For those who do not understand, in sovereign finance, a single-digit spread over the global risk-free rate is the ultimate seal of approval. What it implies is that there is little to no credit risk, and faith in the currency peg is extremely robust.

The total outstanding volume has reached AED 28 billion, and the instruments are expected to be listed on NASDAQ Dubai for secondary market liquidity by early 2026. The new curve helps UAE corporates price their own debt issuances off the sovereign benchmark, removing the need to rely on US dollar benchmarks or opaque bank lending rates.

The text highlights the significant development of the nation’s financial architecture. Throughout 2025, the UAE maintained top-tier sovereign credit ratings, with Moody’s rating it at Aa2, S&P at AA, and Fitch at AA-.

The rating agencies praised the UAE’s fiscal discipline, substantial sovereign wealth, and effective policy framework as the primary reasons for this impressive performance and credibility.

The capital markets renaissance

Under His Highness Sheikh Maktoum, the Dubai Financial Market thrived along with the Abu Dhabi Securities Exchange. A key move came when parts of the state were opened to private investors. State-owned firms were brought onto the markets as key players.

The shift drew outside money from global investors. By 2025, ADX had not only grown to AED 3.13 trillion in value, but trading volume also climbed sharply to AED 385 billion. Up 27.1% in 2024, the DFM General Index led regional markets. Market capitalisation hit AED 907 billion during that period. Foreign investors made up half of all trading activity at DFM by year’s end. That shift marked a turn away from small local participants toward professional participation on the world stage.

The Public Sector IPO Programme successfully facilitated each filing from start to finish. A notable example is Talabat’s debut in 2024, which raised AED 7.5 billion, making it the largest tech offering globally that year. A fine demonstration of the fact that local markets can support significant tech valuations similar to those in global financial hubs.

What set Talabat apart was not just its size; it highlighted that Dubai is competitive in attracting tech companies, drawing them away from London and Nasdaq, where over 60% of shares were acquired by international funds.

Other landmark deals included ADNOC Gas and ADNOC Logistics & Services trading on the Abu Dhabi Exchange (ADX), both valued in the billions. These listings provided investors with direct access to energy logistics. Capital flowed in both directions, with state holdings transforming into capital that was reinvested in new national projects, simultaneously creating substantial pools of available funds. These listings enhanced the UAE’s representation in major indexes, such as the MSCI Emerging Markets.

Changes also took hold in how markets operate, including the launch of entities like xCube that actively trade shares. Doors have opened for international setups like dual trading platforms and special purpose acquisition companies. Methods around setting share prices also became more adaptable, brought into line with practices already established across London and New York.

Banking sector resilience

By mid-2025, banking assets had reached AED 4.973 trillion, reflecting a 15.4% increase compared to the previous year. Despite the introduction of a corporate tax, lending continued to rise by 11.1%, indicating that the financial markets adapted smoothly without hindering project development.

A significant improvement was observed in asset quality, with the net non-performing loan ratio falling sharply to 1.7%. Meanwhile, the capital strength stood at 17.3%, well above the requirements set by Basel III.

From day one, the ministry helped shape how digital finance works across UAE banking. With the Jisr system live for Central Bank Digital Currency, connected to the Instant Payment Interface, the country now leads in fast-settlement technology. Instead of relying on overseas systems, local businesses now use Jaywan (a homegrown card option) to cut out middlemen and save on transaction fees.

The fintech ecosystem has exploded under this supportive regulatory environment. Digital lending partnerships like du Pay and Deem Finance are providing instant credit decisions to consumers, while the entry of specialised institutions like crypto-focused Maerki Baumann demonstrated regulatory sophistication in balancing innovation with risk management.

Perhaps the most critical defensive victory was navigating the FATF evaluation process. After the UAE was added to the Grey List in early 2022, the country faced rising compliance costs and reputational risks. In response, the ministry established a high-level committee to tackle strategic deficiencies.

In February 2024, the FATF removed the UAE from the Grey List, acknowledging the significant progress made. The decision led to a reduction in correspondent banking costs and the reinstatement of full investor confidence.

The removal reduced the cost of international transactions for UAE banks by eliminating the enhanced due diligence requirements that foreign correspondents had imposed, effectively lowering the friction cost of cross-border finance by 20 to 30 basis points on average.

The ministry intensified reforms ahead of 2026’s mutual evaluation, issuing Federal Decree Law No. 10 of 2025 to reinforce the AML/CFT framework with criminal penalties of up to AED 50 million for unlicensed financial activities and rigorous campaigns to update Ultimate Beneficial Owner registries. The campaign to clean up the UBO registry was particularly aggressive, with over 200,000 corporate entities required to update their records under threat of administrative penalties.

In May 2025, Abu Dhabi’s hosting of the first global roundtable of FATF-Style Regional Bodies symbolised the UAE’s transformation from a jurisdiction under scrutiny to a convener and thought leader on financial integrity.

The legacy of financial maturity

During His Highness Sheikh Maktoum’s tenure as the UAE Minister of Finance, the Emirates definitively moved beyond being labelled an emerging market. Progress came through balancing bold spending (up 29%) with careful management, boosting the budget to AED 92.4 billion.

Growth received a push without relying solely on oil revenues; new sources of income helped stabilise public finances. Local bond segments emerged, providing residents and businesses with market tools they previously lacked. Stock trading areas experienced a resurgence, creating opportunities for long-term investment.

While nearby Gulf countries are taking their time to complete their economic reforms, the UAE has excelled in its efforts due to its sheer speed. Deep reforms took place here in just half a generation’s lifetime. The Gulf nation, at short notice, has successfully navigated the most difficult transition any petro-state can attempt, whether from rentier to value creator or from resource extractor to financial powerhouse.

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