AI Trade Unravels as Two-Thirds of Tech Stocks Enter Correction
Over 67% of tech stocks have fallen 20% or more from recent highs, signaling a broad reassessment of the AI-driven rally.
The artificial intelligence trade that powered Wall Street's most euphoric run in years is showing serious signs of strain. More than two-thirds of technology stocks are now sitting at least 20% below their recent peaks — the conventional threshold for a correction — raising pointed questions about whether the AI investment thesis has been priced to perfection and beyond.
At the center of the selloff are major semiconductor companies, which had become the de facto proxies for AI enthusiasm among institutional and retail investors alike. These names surged dramatically through the second quarter, rewarding momentum traders handsomely. But that very success set the stage for the pullback now underway, as profit-taking accelerated and investors reassessed whether valuations had run ahead of the underlying fundamentals.
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The pattern is a familiar one in technology cycles: a transformative theme attracts capital rapidly, driving prices to levels that leave little room for disappointment. When sentiment shifts — even modestly — the unwind can be swift and indiscriminate, dragging down quality names alongside speculative ones. The breadth of the current decline, affecting the majority of the sector rather than isolated pockets, suggests this is more than routine rotation.
What remains unresolved is whether this represents a healthy consolidation within a longer bull cycle for AI-related infrastructure, or an early signal that the market is beginning to discount a slower-than-expected monetization timeline for the technology. Investors who bought into semiconductor and AI platform stocks near their highs now face the uncomfortable calculus of averaging down or locking in losses. The answer likely depends on upcoming earnings guidance and any signals from major cloud and chip companies about the pace of AI capital expenditure.
For now, the data suggests the easy money in the AI trade has largely been made, and the next leg — if it comes — will require more discriminating analysis of which companies can actually translate the AI buildout into durable earnings growth. Continue reading at MarketWatch.com
