
Tech • AI • Robotics • Game
A sharp selloff in AI-linked and semiconductor stocks erased $2.5 trillion in market value before a partial rebound, as investors reassessed political risks, valuations, IPO timing, and the broader outlook for growth.
U.S. markets suffered a steep technology-led decline that wiped out roughly $2.5 trillion in value in a single session, with the Nasdaq falling about 5% before recovering modestly the next day. The damage was concentrated in AI infrastructure, semiconductor names, and other high-beta growth stocks, while some megacap companies with broader business lines proved more resilient.
The selloff followed U.S. midterm results that elevated policymakers seen as more skeptical of unfettered AI expansion and data-center growth. Investors also focused on Texas, where the incoming governor signaled support for business but said future data-center development must include stronger protections and clearer rules for local communities.
The market reaction highlighted a split inside technology. Chipmakers, neocloud companies, and politically exposed AI trades took the brunt of selling, while large platform companies with existing data-center capacity and diversified revenue streams were viewed as better insulated. Apple was cited as an example of a company less directly exposed to the policy shift.
Market turbulence has complicated expectations for a possible Anthropic listing. Earlier valuation talk near $2 trillion gave way to discussion around $1.5 trillion, then closer to $1.2 trillion to $1.3 trillion, while prediction-market odds of an IPO by late November slipped to about 49% after previously reaching the low-to-mid 70% range.
Despite weaker market conditions, some investors argued a lower valuation could create an attractive entry point for long-term buyers who already believed in the company’s prospects. Others pointed to a more conservative estimate of $500 billion to $800 billion for a public market capitalization, underscoring the gap between private-market enthusiasm and public-market discipline.
The market rout came alongside surprisingly strong labor data. The U.S. added 165,000 jobs in October, far above a consensus forecast of 59,000, while unemployment edged down to 4.1% even as labor-force participation improved. Manufacturing payrolls rose by 19,000, a detail that stood out because it suggested strength in a sector tied to industrial capacity, defense, and advanced production rather than only health care and services.
Strong hiring data reduced fears of an immediate economic slowdown but also reinforced expectations that the Federal Reserve could stay hawkish. That leaves investors balancing two conflicting forces: a healthier economy and labor market on one hand, and the risk of higher rates weighing further on richly valued growth stocks on the other.
The volatility punished leveraged investors. Vara reportedly fell 33% in October, Kirkoswald logged its worst month on record, and Walleye moved to return some capital. The episode exposed how crowded AI and semiconductor positioning had become, especially among funds using leverage to amplify gains in a trade that had looked unstoppable.
Not every tech name fell. AppLovin surged after earnings and was up roughly 67% over five days, including another strong move on the latest session, pushing its market value to about $131 billion. The jump showed that investors are still willing to reward companies delivering concrete financial results even amid a broader derating in speculative AI themes.
Investors increasingly described the market as entering an era of stock picking rather than indiscriminate momentum buying. Comparisons to the dot-com cycle resurfaced, with some analysts arguing that even if the broader AI trade resets, a handful of future platform leaders could still emerge from the shakeout much as Amazon and Google did after the earlier crash.
The week’s market action showed that enthusiasm for AI remains intact but is no longer enough on its own to support every valuation. Investors are now being forced to separate durable businesses from crowded, policy-sensitive trades as politics, rates, and earnings matter more.
Ask a question