Bank of England Governor Andrew Bailey has warned that a sharp fall in artificial intelligence related asset valuations could trigger a broader correction in global financial markets. His warning comes amid rapidly rising investment in AI infrastructure and growing concern about high valuations in some technology markets.
Bailey issued the warning in his capacity as chair of the Financial Stability Board, in a letter addressed to G20 finance ministers and central bank governors. He said global markets remain vulnerable to a potentially disorderly correction that could spread across borders, particularly because of existing weaknesses in sovereign debt markets and rising leverage.
The Bank of England has been monitoring the financial stability risks associated with the rapid expansion of artificial intelligence. In its July 2026 Financial Stability Report, the central bank said equity prices had risen significantly, particularly for AI related companies, and that valuations had become more stretched. It also warned that market concentration had increased because a relatively small group of AI linked companies was responsible for a significant share of gains in major equity indices.
Bailey's latest warning focuses on the possibility that investors could become overly optimistic about the future profitability of AI companies. If expectations change suddenly, investors could reassess the value of those companies, resulting in substantial share price declines.
Such a correction would not necessarily remain confined to the technology sector. Because AI companies are increasingly connected to banks, investment funds, credit markets, data centre operators, semiconductor manufacturers and other industries, financial stress in one part of the ecosystem could spread to other markets.
The Bank of England has previously examined a hypothetical scenario involving a major correction in AI related equity valuations. In that scenario, a sharp decline in US equity prices could spread to other economies through financial markets and credit channels. The Bank's analysis suggested that a sufficiently large correction could have a significant impact on UK economic activity.
One of the factors increasing the potential impact is leverage. Investors and financial institutions increasingly use borrowed money to take positions in financial markets. When asset prices rise, leverage can increase returns. However, when prices fall sharply, leveraged investors can face losses and margin calls, forcing them to sell assets.
Bailey has said that the combination of high valuations, concentrated market exposure and leverage could amplify any future correction. The concern is particularly significant because AI related companies now represent a substantial proportion of some major global equity indices.
Another area of concern is the increasing use of debt to finance AI infrastructure. Large technology companies and other firms are investing heavily in data centres, computing capacity, semiconductors and energy infrastructure needed to support AI development.
The Bank of England said in its latest financial stability assessment that AI companies are increasingly turning to external financing, particularly debt, to support investment. It described the pace of AI infrastructure investment as unprecedented and warned that increasing dependence on credit markets could create additional financial stability risks if assumptions about future AI demand prove incorrect.
The financial links between AI companies are also becoming more complicated. Some major technology companies invest in AI firms while simultaneously purchasing AI related computing services, equipment and infrastructure. The Bank of England has described these connections as potential self reinforcing financial relationships that could increase the impact of a negative shock.
Bailey's warning therefore goes beyond concerns about whether AI technology itself will succeed. Even if AI continues to deliver technological improvements, financial markets could still experience a correction if investor expectations about future earnings become unrealistic.
The issue is closely connected to the way equity valuations are calculated. Investors often value companies based on expectations of future revenue and profits. AI companies have attracted particularly high valuations because markets anticipate strong long term growth.
If those expectations are revised downward, share prices could decline rapidly. A large fall among a small number of highly valued companies could then affect major stock indices because those firms have become increasingly important components of global markets.
The United States is particularly exposed because AI companies account for a large share of the market capitalisation of major US indices. The Bank of England's July report said AI related companies accounted for around half of the S&P 500's market capitalisation under its defined measure. The S&P 500 itself represents roughly half of global equity market capitalisation.
This concentration means that developments affecting a relatively small number of technology companies can have a much wider impact on global investor sentiment.
Bailey's warning also comes at a time when global financial markets are already dealing with other sources of uncertainty. Geopolitical tensions, changing interest rate expectations, government debt concerns and volatile commodity markets could interact with an AI related correction.
The Bank of England's July financial stability report specifically noted that multiple vulnerabilities could crystallise at the same time. It warned that a combination of high equity valuations, leverage, geopolitical risks and financial market interconnectedness could amplify the effects of a major shock.
Bailey has also identified AI related cyber risk as an immediate concern for global financial stability. In his recent letter to G20 officials, he said advanced AI models could increase the speed and effectiveness of cyberattacks, potentially affecting banks and other critical financial institutions.
This means the AI related risks facing the financial system are not limited to market valuations. Regulators are also examining operational risks, cyber threats and the increasing dependence of financial institutions on a relatively small number of technology providers.
The international dimension is important because no single country can fully isolate its financial system from developments elsewhere. Global investors hold assets across multiple markets, while banks and companies have increasingly interconnected funding and technology relationships.
A major decline in US technology stocks could therefore affect European and Asian markets even if the original shock occurred entirely in the United States. The European Central Bank has similarly warned that an AI driven correction in US technology markets could have significant implications for European financial stability because of the close correlation between global equity markets.
Bailey has called for international cooperation to address these risks. The Financial Stability Board, which he chairs, coordinates the work of financial authorities and international standard setting organisations in order to strengthen global financial stability.
For regulators, the challenge is to allow investment in a potentially transformative technology while ensuring that excessive optimism does not create vulnerabilities across the financial system.
The Bank of England's analysis does not predict that an AI bubble will definitely burst. Instead, it examines the consequences that could follow if valuations fall sharply. Bailey's comments similarly describe a potential future correction rather than an immediate prediction of a crash.
The distinction is important for investors. High valuations do not necessarily mean that a collapse is inevitable, and continued improvements in AI technology could support strong company earnings. However, market prices can still fall if future growth does not meet increasingly ambitious expectations.
Investors are therefore watching AI related earnings, capital expenditure, debt issuance and productivity gains closely. The sustainability of the current investment cycle will depend partly on whether AI companies can eventually generate sufficient revenue and profits to justify the enormous capital being deployed.
The Bank of England has also noted that spending on AI infrastructure could exceed several trillion dollars over the coming years. Much of the investment has so far been funded by large technology companies with strong cash flows, but the growing role of debt financing could make the financial system more sensitive to any deterioration in AI related business prospects.
For global markets, the key concern is therefore not simply the possibility of falling technology stocks. The larger issue is whether a decline in AI valuations could interact with leverage, credit exposure and market concentration to create a broader financial shock.
For India and other emerging markets, any major correction in global technology stocks could also influence foreign portfolio flows, currency markets and investor sentiment. The size of the eventual impact would depend on the scale and duration of any global market decline.
Bailey's warning adds to a growing body of international scrutiny surrounding the financial implications of the AI boom. Regulators are increasingly examining whether the pace of investment, the level of market valuations and the expansion of AI related borrowing are sustainable.
At present, the AI industry continues to attract substantial investment and technological development. Major companies continue to expand computing capacity and data centre infrastructure, while investors remain focused on the potential productivity gains associated with advanced AI.
The Bank of England's message is therefore one of caution rather than a forecast of an immediate crisis. Bailey is warning that if expectations change abruptly, the concentration of AI investments and the use of leverage could magnify the resulting market movement.
The broader lesson for financial markets is that rapid technological change can create both economic opportunities and financial risks. AI could generate substantial productivity improvements, but the market's expectations surrounding the technology may also become a source of vulnerability.
For policymakers, the challenge will be to monitor these risks without unnecessarily restricting investment and innovation. Stronger risk management, transparency, adequate capital and international coordination could help reduce the impact of any future market correction.
Bailey's latest warning places the AI boom firmly within the global financial stability debate. The issue is no longer only about whether artificial intelligence will transform industries. It is also about how much financial risk is being built around expectations of that transformation.
If those expectations remain supported by strong earnings and productivity gains, the AI investment cycle could continue to expand. If they weaken sharply, however, the resulting correction could spread beyond technology stocks and affect financial markets across borders. That possibility is why central banks and international regulators are paying increasing attention to the financial consequences of the AI boom.