History Says Buying Chip Stocks After a 20% Drawdown Has Usually Worked in This Cycle. Will It Work Again?

This is less a “semis are cheap” setup than a dispersion trade inside semis. The market is still paying up for names with direct AI revenue visibility and punishing anything with perceived cycle risk, so the near-term winner is quality compounders with pricing power and long-duration backlog, while the losers are the more inventory-sensitive memory and equipment names if the narrative flips from scarcity to digestion. In that sense, the opportunity is not to buy the whole complex indiscriminately, but to separate structural AI beneficiaries from classic cyclical exposure.

The first-order catalyst is next earnings season: any sign that hyperscaler capex is merely normalizing, not accelerating, would pressure the group again over days to weeks. The bigger risk is 6-18 months out, when announced capacity additions and new node ramps can turn tight supply into oversupply faster than sell-side models catch up; that’s when multiples compress before fundamentals fully roll over. If memory pricing or foundry lead times start easing, the market can re-rate the entire basket downward well before unit demand slows.

Contrarianly, the consensus may be underestimating how much of the current “buy the dip” logic is just momentum and factor exposure rather than fundamental conviction. The article’s framing is directionally right for AI-exposed leaders, but it glosses over the fact that the most expensive names can still fall sharply if growth merely meets expectations instead of beating them. Broadcom is still a strong relative-quality candidate, but the better trade is to own its AI leverage versus a basket of higher-beta semis rather than to assume the whole sector will bounce together.