Prediction: Investors Rotating Out of Artificial Intelligence (AI) Stocks Made a Costly Mistake. The Nasdaq Proves It.

AI stocks have recently lagged as investors rotated into safer sectors amid concerns about AI spending, high valuations, and the conflict in Iran. The Nasdaq then rebounded, completing a 13-day winning streak on April 17, its longest since 1992, and was up 5.2% year to date at that point. Over the past 20 years, the index has climbed 1,000%, supporting the article’s view that long-term demand for AI and tech remains intact.

Analysis

The selloff in AI has less to do with a broken end-demand story than with a short-duration de-rating of the capital cycle. When hyperscalers are still in a build phase, the first-order winners are obvious; the second-order winners are the least debated—networking, power, memory, and foundry capacity—which is why the market’s rotation out of AI likely overshot the near-term fundamentals. The fact that the rebound has been driven by a sentiment shift rather than a change in underlying compute demand argues that supply-chain beneficiaries should regain leadership fastest.

The key risk is not that AI spending collapses, but that investors have mispriced the timing: a pause in capex growth would compress multiples before it materially hurts revenue, especially for the more levered platforms. That creates a fragile setup where names with the highest expectations can underperform even if their earnings are still compounding. In contrast, diversified revenue streams and pricing power should make the infrastructure layer more resilient than the application layer over the next 3-9 months.

Geopolitics adds a second-order bid to defensives, but the market is treating that as a reason to abandon growth entirely rather than a temporary factor. If Iran-related risk recedes, the factor reversal could be violent because positioning has likely become more defensive than fundamentals justify. The contrarian takeaway is that AI is no longer a consensus-long trade in the same way it was 12-18 months ago, which improves the asymmetry for selective re-entry rather than broad index exposure.

The higher-quality expression here is to own the picks-and-shovels and avoid the crowded “AI beta” basket. The near-term catalyst is any confirmation that hyperscaler capex is still accelerating into the next earnings season; the medium-term catalyst is margin leverage from utilization, not narrative. If that comes through, the rebound should be led by suppliers with operating leverage rather than the indices themselves.

Key Decisions for Investors

• Long NVDA / TSM as a pair trade vs. NDAQ over the next 1-3 months: buy the infrastructure beneficiaries while fading broad index exposure; best risk/reward if AI capex stays intact and the market re-rates the supply chain first.
• Long AMZN vs. NFLX for 3-6 months: AWS monetization gives AMZN a direct capex-linked upside path, while NFLX is more insulated and less likely to re-rate meaningfully from an AI-led rotation back into growth.
• Add TSM on weakness with a 6-12 month horizon: foundry exposure offers cleaner earnings translation than software sentiment names; downside is a capex pause, upside is continued AI build-out and utilization leverage.
• Use call spreads in NVDA for the next earnings cycle: the market is pricing in perfection less aggressively than during the peak momentum phase, creating better convexity if order growth remains strong.
• Avoid chasing INTC as the core AI long; treat it as a lower-conviction relative-value name versus TSM/NVDA because it needs both execution improvement and a favorable cycle to work.