World Bank Urges Regulators to Prepare for New Financial Risks as Technology Reshapes Banking

 

Artificial intelligence is rapidly becoming a new source of systemic financial risk, with the World Bank warning that regulators must move quickly to strengthen oversight before AI-driven markets become vulnerable to faster and more damaging financial shocks.

In a new policy blog, the World Bank said AI is no longer confined to improving operational efficiency. It is increasingly determining how financial institutions price risk, extend credit, execute trades and supervise markets, making it a critical issue for central banks and financial regulators.

The institution cautioned that while AI is improving market efficiency under normal conditions, it could amplify volatility during periods of stress by causing large numbers of automated systems to react simultaneously to the same market signals.

“Future flash crashes may arise less from coding errors and more from many AI systems reacting in parallel to the same information,” the World Bank said.

From Efficiency to Systemic Risk

The report said AI has transformed trading, lending and financial supervision by enabling real-time decision making across markets.

Large investment banks, hedge funds and asset managers increasingly rely on machine-learning models to analyse earnings reports, regulatory filings and economic data within seconds, allowing faster investment decisions and lower transaction costs.

Banks are also deploying AI to strengthen fraud detection, improve credit assessments and expand lending to consumers and small businesses.

However, the World Bank warned that the same technology could become a source of systemic instability if financial institutions adopt similar AI models that respond identically during periods of market uncertainty.

Such synchronised trading could magnify price swings and spread financial shocks much faster than traditional market behaviour.

Central Banks Face New Responsibilities

The World Bank urged central banks and financial supervisors to broaden their oversight beyond traditional financial risks to include AI governance.

It recommended closer monitoring of AI-driven trading strategies, stronger stress testing of AI models and improved visibility into how financial institutions deploy artificial intelligence.

Authorities should also require greater transparency around AI systems used in financial decision making to identify emerging vulnerabilities before they become systemic.

According to the World Bank, traditional capital and liquidity buffers will remain important, but they must now be complemented by better data on AI adoption, model dependencies and market exposures.

Hidden Risks in Shared Technology

Beyond financial markets, the report highlighted growing dependence on a small number of cloud computing providers, data platforms and AI model developers.

Because many financial institutions increasingly rely on the same technology providers, a technical failure, cyberattack or geopolitical disruption affecting one major provider could simultaneously disrupt multiple banks and financial markets.

The World Bank noted that several regulators, including the European Central Bank and the Bank of England, have already expanded operational resilience frameworks to cover critical cloud and AI service providers.

It warned that regulators must avoid unintentionally increasing concentration risks by encouraging excessive reliance on a handful of approved AI vendors.

Supervisors Must Stay in Control

The report also examined the growing use of supervisory technology, or SupTech, where regulators deploy AI to monitor markets, analyse financial data and detect emerging risks.

Central banks in France, Germany, Japan, Canada and the United States are already using AI tools to strengthen financial supervision.

While these technologies improve speed and analytical capacity, the World Bank stressed that human judgment must remain central to financial oversight.

“AI should augment supervisory judgment, not replace it,” the report said.

AI Raises Cybersecurity Stakes

The World Bank warned that generative AI is also transforming cyber threats.

AI-generated phishing attacks, automated fraud schemes and rapidly evolving cyber intrusions are reducing the time financial institutions have to detect and respond to attacks.

As a result, cyber resilience is becoming a financial stability issue rather than simply an operational concern.

The report urged regulators to strengthen cyber resilience requirements, conduct AI-based stress exercises and invest in defensive AI capabilities to counter increasingly sophisticated attacks.

Global Cooperation Becoming Essential

The World Bank said AI’s growing influence means financial stability will increasingly depend on governance, transparency and international coordination rather than technology alone.

It called for stronger global cooperation to establish common standards for AI oversight, operational resilience and cyber defence.

The institution warned that if policymakers fail to act collectively, future financial crises could spread faster, become more synchronised and prove more difficult to contain than previous episodes.

“If policymakers act early and collectively, AI can reinforce global financial resilience. If they do not, future instability may be faster, more correlated, and harder to manage than past episodes.”