London, 31 October 2026 — EBM Weekend Read — By Nick Staunton
For three years, artificial intelligence has been the story that lifted every market. This week it became the story that sank them. Intel lost a quarter of its value in a single day. Amazon fell 7%. Alphabet tumbled 10% after its spending pushed cash flow into the red. South Korea’s Kospi, home to the world’s biggest memory chipmakers, is now down 38% from its June peak.
The question every investor is asking is the one that has hung over the boom from the start: is this a correction, or is the AI bubble finally bursting?
The Week Everything Changed
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SubscribeThe trigger was a results season that delivered growth but not proof. Alphabet’s cloud business grew strongly, yet it spent $51.4bn in a single quarter and burned through $9.1bn of free cash, according to Fortune. Amazon confirmed plans to spend $220bn this year while missing forecasts. Intel cut its outlook. Meta, already committing up to $145bn to AI, is selling $35bn of shares to help pay for it.
The damage spread far beyond the giants. Data centre operator CoreWeave has lost more than half its value since August, and rival Nebius fell 37% in October alone. Chipmakers from SK Hynix to Japan’s Kioxia slumped. Just days earlier, chip stocks had led a global rebound. That optimism lasted less than a week.
The Case for a Bubble
The bears have a strong argument. The amounts being spent are staggering, and the revenues are not yet there to justify them. OpenAI’s revenue shortfall rattled the market earlier this year, and Anthropic has disclosed heavy losses ahead of its planned listing. Even the richest companies on earth are now raising outside money to keep building: Alphabet raised almost $85bn in new equity in June, and Amazon has resorted to selling its AI chips and renting them back.
Money is also getting more expensive. US ten-year borrowing costs have hovered near 5%, and core inflation is rising again. ECB economists warned months ago that the AI-fuelled stock boom was heading for a correction. Many see echoes of 2000, when the dotcom crash wiped almost four-fifths off the value of the Nasdaq.
The Case Against
Yet this is not simply 1999 again. Unlike many dotcom start-ups, today’s AI leaders are hugely profitable companies with real customers. Google Cloud is growing at nearly 50% a year with an annual run rate above $70bn. Microsoft’s Azure grew just as fast, and Microsoft stayed firmly cash-positive, which is why investors rewarded it while punishing its rivals.
AI is also already changing how companies work. Microsoft has offered buyouts to a quarter of its staff, and banks from Barclays to HSBC are cutting jobs as the AI layoffs arrive. Technology that reshapes payrolls is not a fad.
What Investors Are Really Saying
The market’s message is more nuanced than “AI is over”. Investors are separating companies that can pay for AI out of profits from those that need borrowed or outside money to keep up. They are moving from rewarding ambition to demanding returns.
That shift explains the flight to safety this week. Investors piled into US Treasuries, the Japanese yen and the Swiss franc. Nvidia’s historic $150bn buyback looked like confidence when it was announced. It now looks like a test of whether the AI boom can outlast its critics.
Europe’s Exposure
Europe has less direct exposure to the AI giants than America or Asia, but it is not immune. European pension funds and savers hold large stakes in US tech, and chip equipment makers such as ASML depend on the spending boom continuing. A sharp correction would hit portfolios across the continent, and a slowdown in data centre building would reach European suppliers of power, cooling and construction.
Where This Goes
This is not the end of AI, but it may be the end of the easy money. The technology is real and the leading companies are strong, yet the spending has run far ahead of the revenue, and investors have lost patience with promises. Expect a painful repricing. Weaker players, especially heavily indebted data centre operators and unprofitable AI start-ups, could fail. The giants will survive but will be forced to slow their spending or prove it pays. History suggests the dotcom crash destroyed fortunes but built the internet. An AI correction could do the same: wiping out the excess, while the technology itself keeps transforming business.
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