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

This is still a liquidity-driven correction inside a structurally strong capex theme, not yet a fundamentals break. The market is pricing “AI spend slows” much faster than the evidence usually arrives, which is why high-quality infrastructure names can reclaim losses quickly when buyers realize order books, not headlines, drive the next leg. AVGO is less a pure semicap bet than a toll collector on AI networking/custom silicon, so it should be more resilient than memory or tool names if the spend cycle merely normalizes.

The bigger risk is timing: the first place a true cycle turn shows up is not in the biggest AI beneficiaries, but in memory, legacy logic, and equipment order cadence. If oversupply develops over the next 12-24 months, the market will likely compress multiples in advance of EPS deterioration, which means the downside in second-order names can exceed the initial 20% draw even if AI demand remains healthy. That makes this a “buy quality, fade the weakest cyclicals” setup rather than a blanket dip-buy across semis.

Consensus is probably underestimating how narrow the leadership can get if the cycle ages. The right way to express the view is to own companies with pricing power, recurring content, and backlog visibility, while using weaker memory exposure as a hedge against a later-stage turn. The thesis breaks if AI capex guidance rolls over, cloud budgets get cut, or memory ASPs and lead times start easing in back-to-back quarters.

For GETY and HNST, there is no direct fundamental read-through; any impact would be purely risk-off beta if the selloff broadens beyond semis into small-cap/speculative growth.