Bank of England Warns of AI Market Correction Risk; Gold Reaches New $4,000 Record
The Guardian
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Details
- Date Published
- 7 Oct 2025
- Priority Score
- 2
- Australian
- No
- Created
- 8 Oct 2025, 05:36 pm
Description
Soaring tech valuations could drop amid potentially ‘disappointing’ progress on AI, central bank says; gold has doubled in two years and extends 50% rally so far this year
Summary
The Bank of England's financial policy committee has highlighted the potential for a market correction driven by overly optimistic expectations about AI technology advancements. This warning underscores the risk of increased volatility in the valuations of major technology firms like Nvidia, Google, and Microsoft, which have benefitted from surge in AI investment. The committee cautions that disappointing AI progress or challenges such as supply bottlenecks could negatively affect these companies' valuations. The article contributes to the discourse on AI safety by drawing attention to the financial risks associated with the current AI hype, which is relevant for understanding broader governance and economic implications globally.
Body
Soaring valuations of technology firms could drop sharply amid potentially “disappointing” progress around artificial intelligence (AI), the Bank of England has warned.Big US tech companies likeNvidia,GoogleandMicrosofthave all seen their share prices soar over the past year, driven by expectations that the adoption of AI technology will ramp up around the world.But the central bank’s financial policy committee (FPC) warned that the risk of a “sharp correction” in the financial markets has increased.The minutes of the FPC’s latest meeting read:On a number of measures, equity market valuations appear stretched, particularly for technology companies focused on artificial intelligence.This, when combined with increasing concentration within market indices, leaves equity markets particularly exposed should expectations around the impact of AI become less optimistic.It said there was a risk that “disappointing” progress on AI capability or adoption, or increased competition, could drive valuations lower across the sector.“Material bottlenecks to AI progress” including across power, data, or commodity supply chains could also harm valuations, particularly for firms that are expected to benefit from greater AI investment, the committee said.