The grand stock market promise of artificial intelligence has just received a warning that cannot be minimized. In a matter of hours, the massive sell-off of tech stocks that began on Wall Street crossed the Pacific, hitting Tokyo and Seoul, triggering emergency mechanisms in South Korea, and then leading to a partial rebound in the United States. This movement does not signify the end of AI. However, it reveals a decisive change: investors no longer want to hear just a promise of growth; they now demand proof of profitability.
On Thursday, November 5, the S&P 500 lost 4.4%, its worst session since the tariff shock of April 2025, while the Nasdaq, which is much more exposed to technology, fell by 5.5%. According to Reuters, approximately $3 trillion in market capitalization was wiped out from S&P 500 companies during this wave of selling. The following day, the Japanese Nikkei dropped by about 6%, and the South Korean KOSPI plunged by more than 8% at the opening, prompting a temporary halt in trading.
A Global Shock from the Heart of the AI Revolution
The geography of the decline tells its own story about the power of the global AI supply chain. The United States is home to the giants of software, cloud computing, and chip design. Japan provides essential equipment for semiconductor manufacturing. South Korea and Taiwan hold major positions in advanced memory and component production. When doubt creeps into investment in data centers, it does not remain confined to Wall Street; it immediately transmits to the entire industrial Asia.
Reuters reported that markets feared both a tightening of political oversight in the United States and a slowdown in spending on AI infrastructure. This concern comes after months of questions regarding the actual returns on the gigantic sums invested in chips, electricity, networks, and data centers. The issue is not the utility of the technology. It is about timing: how long will it take before the revenues generated fully justify the investments and valuations?
Why the U.S. Elections Accelerated the Sell-off
The Democrats’ victory in the midterm elections served as a catalyst. Traders anticipated a Congress more inclined to control the environmental, energy, and social impacts of the accelerated construction of data centers. The mere risk of a local moratorium, new obligations, or additional regulatory delays is enough to alter financial calculations when projects require billions of dollars and must operate at full capacity to become profitable.
However, it would be excessive to attribute the entire correction to politics. AI-related stocks were already weakened by their high prices and by rising doubts surrounding the debt used to finance certain infrastructures. A new rule does not need to be adopted to provoke a decline: when expectations are extreme, a change in the scenario is sufficient. This is precisely what the market demonstrated this week.
The Wall Street Rebound Does Not Close the Question
On Friday, November 6, U.S. stocks regained some ground. The Associated Press reported that the Nasdaq was up about 1.4% during the session, while Reuters described a relief rally driven by technology, communications, and discretionary spending. This rebound shows that many investors remain willing to buy companies they consider solid after a rapid decline.
But a technical rebound does not erase previous losses nor the message sent by Asia. The simultaneous drop of major indices and the activation of circuit breakers indicate that positions were highly concentrated. When too many portfolios depend on the same narrative, everyone tries to exit through the same door at the first sign of doubt. Volatility can then become greater than what economic news would justify on its own.
What Is Changing for Tech Giants
The market is likely entering a phase of tougher selection. Until now, mere association with artificial intelligence could support a company, whether it sells chips, rents computing power, builds data centers, or promises future gains. Now, investors will more closely compare margins, cash flows, debt, actual contracts signed, and the ability to turn AI usage into sustainable revenues.
This discipline could favor groups that already have customers, liquidity, and a profitable infrastructure. Conversely, it could put pressure on companies reliant on ongoing financing or very distant growth assumptions. AI is not disappearing from the landscape; it is simply ceasing to be a magic word capable of erasing all financial questions.
Europe and France Facing the Return of Risk
For Europe and France, the shock has a dual meaning. It can make financing new capital-intensive projects more difficult at a time when the continent wants to catch up in cloud computing, semiconductors, and AI models. But it can also reward a more sober strategy: targeted infrastructures, energy efficiency, specialized software, and industrial applications capable of generating measurable gains quickly.
French companies will need to monitor capital costs as closely as technical performance. An increase in the risk premium can delay a data center, slow a fundraising effort, or push a group to choose a cheaper supplier. Conversely, the correction can create opportunities for long-term investors if it brings some valuations back to more reasonable levels.
The Real Test Begins Now
The upcoming earnings reports will be watched with exceptional intensity. Markets will be looking for concrete signs: data center utilization rates, computing power prices, cloud service growth, chip orders, and savings achieved by customers. They will also monitor U.S. regulatory proposals and the response of Asian markets after the initial panic.
The signal from this week is therefore not that artificial intelligence has failed. It is that the era of unlimited credit granted to the AI narrative may be coming to an end. After financing the infrastructure race, the world is now asking what it produces. The answer will determine whether this shock remains a spectacular correction or becomes the beginning of a much deeper reevaluation.
Sources
- Reuters, November 6, 2026 â Wall Street rebounds after global AI stock sell-off.
- Reuters, November 6, 2026 â Asian markets tumble and concerns over AI investments.
- Associated Press, November 6, 2026 â Partial recovery of AI stocks after two days of selling.