OpenAI’s recent decision to deepen its commitment to Singapore with a reported S$300 million ( US$234.89 million ) investment underscores how rapidly the global artificial intelligence ( AI ) race is converging with financial and geopolitical competition.

As governments, banks and technology firms scramble to secure leadership in AI, Singapore is increasingly positioning itself not simply as a technology adopter, but as a trusted regional hub for AI deployment, governance and digital infrastructure.

That ambition sits at the centre of a new DBS Group research report, which argues that the next generation of leading financial centres will be defined not only by AI capability, but by their ability to make AI-driven financial decisions trusted, transparent and internationally recognized.

Global finance has spent decades competing on traditional parameters of capital depth, liquidity, regulation and market scale. But the next era of financial leadership, the DBS report argues, may depend on something more intangible, namely trust.

DBS, in its report entitled The Trusted AI Financial Hub, lays out a sweeping framework for how AI is reshaping the competitive map of global finance, and why the winners of the next cycle may not simply be the largest and traditional financial centres, but those able to combine AI capability with credible governance.

The report introduces the idea of a financial centre that combines deep AI integration with governance systems robust enough for AI-driven decisions to be accepted across borders and institutions.

Already embedded

AI is no longer seen as a peripheral technology in banking, according to the research, as it is already embedded across credit underwriting, fraud detection, compliance, trading, risk management and customer services.

The question, the report argues, is not whether AI improves efficiency, but whether AI-driven decisions can be trusted by regulators, boards, counterparties and markets. That distinction matters, the report says, because finance ultimately runs on confidence.

In the past, New York, London and other global financial centres built their strength through legal systems, institutional credibility and deep capital concentration. In the AI era, the report shares, another factor is developing, the ability to generate “trusted intelligence” at scale. In effect, the report argues that AI governance is becoming critical economic infrastructure.

The report has been published at a time when governments and regulators are working to define how AI should operate inside financial systems. Some jurisdictions have focused on speed and innovation. Others have prioritized safeguards and oversight.

The future leaders, the report believes, will need both, and one of its most notable conclusions is that scale alone may no longer guarantee dominance.

Beyond traditional giants

DBS, in the report, ranks 15 financial centres using its newly created Global AI Financial Hub Index, or GAIFHI, which measures hubs across AI integration, governance quality, digital infrastructure, talent ecosystems and AI-driven market outcomes.

New York still tops the rankings, reflecting its robust capital markets, AI talent concentration and deployment depth. However, the bank identifies a structural weakness in fragmented regulation. Multiple agencies and overlapping oversight reduce the clarity of the USA’s cross-border “trust signal”.

London, meanwhile, is portrayed as a centre in transition. The UK retains world-class AI talent and deep institutional expertise, but post-Brexit fragmentation has weakened the portability of its regulatory influence. Nevertheless, London’s increasingly principles-based approach to AI governance, the report states, is helping narrow the gap.

Abu Dhabi and Dubai are identified as hubs that have built governance architecture ahead of scale. Mumbai is recognized for world-class digital payments infrastructure and significant AI adoption, though governance formalization still lags. Shanghai, meanwhile, represents a fundamentally different state-directed model, one with immense capability, but more limited international portability of trust.

Singapore, by contrast, emerges as the strongest trust-led model among open market financial centres. The city-state scores particularly highly in governance coherence, digital identity systems and institutional AI adoption.

DBS effectively positions Singapore as a model for what future financial centres may need to look like: digitally integrated, highly regulated, internationally legible and operationally agile.

What emerges from the report is a picture of financial competition becoming increasingly multidimensional. The old formula of size plus liquidity is giving way to a more complex equation involving governance coherence, interoperability, cybersecurity, digital identity systems and AI accountability.

In many ways, the bank’s research echoes a broader shift underway across the global economy. AI capability is becoming more competitive and less differentiated, and models are becoming cheaper, faster and more accessible. What may ultimately differentiate institutions and countries is not simply access to AI, but whether others trust how it is used.

The current AI-led transition, the report believes, is a turning point. The next generation of financial leaders, it says, will not necessarily be those with the biggest AI systems, or the jurisdictions with the strictest rules, but those capable of integrating both into a scalable and internationally recognized system of trusted AI-enabled finance.