AI stocks have lost approximately $13.2 trillion in market value since their 2026 highs, with the sharpest drop coming the day after the US midterm elections. Investors fear Democratic gains could bring tougher rules on data-center construction and AI development.
AI stocks have shed approximately $13.2 trillion in market value since their 2026 highs, a tally that runs through November 7. The losses sit mostly in chipmakers, memory suppliers, power providers and the hyperscalers spending heavily on data centers.
The trigger was an election, not an earnings miss or a technical breakdown.
Nasdaq 100 posts its steepest drop since March 2020
The Nasdaq 100 dropped 6.4% in a single session, its steepest one-day decline since March 2020, on November 5, the day after the US midterms.
Roughly $2.3 to $2.5 trillion in value vanished from the index in that session alone. The VIX tracks expected volatility in the S&P 500. It jumped 70% on November 5, one of the largest single-day increases in its history.
The damage reached beyond AI names. Broader US equities have lost about $5.7 trillion since an October 6 peak. The two figures cover different windows: the $13.2 trillion measures AI stocks from their earlier 2026 highs, while the $5.7 trillion covers the whole market over roughly the past month.
Alphabet, Nvidia and Meta lead the losses
Alphabet is down $1.62 trillion in market value, Nvidia is down $1.49 trillion and Meta is down $501 billion.
Sector declines were just as steep. Memory stocks are down an average of 60% from their 2026 highs, while AI power stocks have fallen an average of 53%. A 60% drawdown means a stock needs to rise 150% to get back to even.
Markets then stabilized somewhat on November 6, and chip stocks clawed back part of their losses.
Fear of regulation, not a law, drove the selloff
The selloff was driven by fears that Democratic gains in the midterms could bring tougher rules on data-center construction and AI development. Any policy shift that slows new data centers threatens the demand pipeline behind chip, memory and power valuations.
But the regulatory risk is a fear, not a law. No specific legislation is cited as the cause, and markets priced in the possibility of a stricter environment.
The vote also landed on top of an existing worry: whether the capital poured into AI will generate returns that justify it. The midterm results gave investors a reason to act on those doubts at once.
Source: Crypto Briefing
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