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AI valuations heighten risk of ‘sharp correction’ in stock markets, Bank of England warns – business live | Business

Introduction: Bank of England warns of risk of ‘sharp correction’ due to AI valuations

Good morning, and welcome to our rolling coverage of business, the financial markets and the world economy.

Risks to the financial stability of the UK have increased during 2025, the Bank of England is warning this morning, as it cites the risk of a stock market crash triggered by highly-valued AI companies.

The Bank is issuing its latest assessment of the UK financial system, and warning that the global risks threatening the country remain “elevated”, citing geopolitical tensions, fragmentation of trade and financial markets, and pressures on sovereign debt markets.

These elevated geopolitical tensions increase the likelihood of cyberattacks and other operational disruptions, the Bank points out, also citing the “material uncertainty in the global macroeconomic outlook”.

And the Bank singles out the surge in valuations of artificial intelligence companies this year, saying that this “heightens the risk of a sharp correction”.

The Bank’s Financial Policy Committee say that many risky asset valuations remain “materially stretched”, particularly for technology companies focused on AI, adding:

Equity valuations in the US are close to the most stretched they have been since the dot-com bubble, and in the UK since the global financial crisis (GFC). This heightens the risk of a sharp correction.

AI companies have been driving the US stock market higher this year. Shares in chipmaker Nvidia, for example, are up 34% this year despite a 10% drop in the last month.

The FPC also sounds the alarm about the use of debt financing in the AI sector, and the web of multi-billion dollar deals between the various companies, explaining:

By some industry estimates, AI infrastructure spending over the next five years could exceed five trillion US dollars. While AI hyperscalers will continue to fund much of this from their operating cash flows, approximately half is expected to be financed externally, mostly through debt.

Deeper links between AI firms and credit markets, and increasing interconnections between those firms, mean that, should an asset price correction occur, losses on lending could increase financial stability risks.

More details to follow…

The agenda

  • 7am GMT: Nationwide house price index for November

  • 7am GMT: Bank of England publishes its latest Financial Stability Report,

  • 7am GMT: Bank of England publishes its latest stress test results

  • 10am GMT: Bank of England press conference with governor Andrew Bailey, and deputy governors Sarah Breeden and Sam Woods

  • 10am GMT: OECD releases its latest economic outlook

  • 10am GMT: Treasury Committee hearing on the budget with the OBR

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Key events

Chart: Why Bank of England is worried about AI valuations

The Bank of England has also produced a neat chart to show how AI stocks have driven the high valuation and growth of the US stock market, as investors have piled in on the expectation of high future earnings growth.

It shows the year-to-date price change of S&P 500 stocks (y-axis), and the next 12 month price-to-earnings ratio for each stock (x-axis).

a) The chart uses a pseudo-log scale with base 10 and a sigma of 20 for visualisation purposes.
(b) The size of dots corresponds to the market capitalisation of firms as of 24 November 2025.
(c) ‘AI stocks’ are those which appear in the JPAIM equity basket.
Photograph: Bank of England

As you can see, many AI stocks are trading at a higher price-to-earnings ratio than the rest of Wall Street, a sign that much higher profits are expected in future years.

As the Bank explains:

The share prices of many AI companies are partly underpinned by high expected future earnings growth over several years, contributing to those companies – and subsequently the equity indices which they comprise a significant part of – appearing historically expensive in valuation metrics which consider past, current or only near-term future earnings [see chart above].

The US excess cyclically-adjusted price-to-earnings (CAPE) yield – a measure of equity risk premia (ERP) which considers past earnings – is close to its lowest level since the dot-com bubble. CAPE is a backward-looking measure, but even ERP calculated from the excess yield of three-year forward earnings expectations is at its most compressed level in 20 years. Whether these earnings will be realised, or even prove underestimates, is uncertain.

The Bank is also concerned about the large volume of corporate debt issued by some AI companies in the second half of 2025. So far, the bond market has bought this debt without complaint.

But… the BoE fears this situation may not last, and points out that the cost of insuring Oracle’s debt against default has risen since the summer.

It says:

The bond market has absorbed this issuance so far – US IG corporate bond spreads remain near their lowest level over the past 15 years.

But debt securities and credit derivatives associated with AI companies can quickly reprice in response to changes in outstanding debt volumes and/or future earnings expectations.

For example, the five-year credit default swap spreads of Oracle – an AI company which has lower free cash flow margins than some other larger hyperscalers and has issued a large amount of debt this year to finance AI infrastructure spending – has widened from less than 40 basis points to around 120 basis points since end-July (by contrast, the credit default swap spreads of US IG corporates more broadly – as proxied by the CDX North American IG five-year index – are broadly unchanged over the same period).

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