The Nasdaq Is Surging Back Toward All-Time Highs. Is Now the Best Time to Buy Artificial Intelligence (AI) Growth Stocks?

The Nasdaq has rebounded to all-time highs as easing Iran-related uncertainty and renewed enthusiasm for AI support growth stocks. The article argues that AI names remain attractive because recent turbulence compressed valuations, with Nvidia near its cheapest level in a year and Palantir still trading at elevated but lower-than-peak multiples. It cites continued strong AI demand, including confirmation from TSMC, as evidence the AI growth story remains intact.

Analysis

The key second-order move here is not “AI is back,” but that the market is re-rating the duration of capex rather than the absolute size of spend. When sentiment improves, the highest-beta beneficiaries are the picks-and-shovels names with pricing power and supply scarcity, while the debate shifts from demand destruction to allocation discipline. That favors TSM most cleanly, with NVDA still supported but more vulnerable to multiple compression if investors start demanding proof that incremental AI revenue is monetizing fast enough to justify frontier valuations.

The overlooked laggard is INTC: if AI appetite re-accelerates, capital spending does not automatically flow to the incumbent CPU ecosystem. In fact, sustained AI buildout can widen the gap between leaders and challenged incumbents by accelerating customer migration to accelerated compute and custom silicon. PLTR benefits on the software side, but it remains more valuation-sensitive than TSM/NVDA because the market is already pricing in a long runway of government and enterprise adoption.

The macro catalyst chain matters more than the article implies. A stable geopolitical backdrop supports risk assets, but the real reversal risk is a renewed shock that forces systematic de-risking just as AI names re-enter crowded ownership. The move has likely legs over weeks to months, but it is still a sentiment-led rebound inside an expensive tape; if TSM commentary or hyperscaler guidance softens, the market will quickly shift from “AI scarcity” to “AI ROI scrutiny,” which would hit the index-heavy megacap complex first.

Contrarian view: the best asymmetry may not be chasing the marquee names after a bounce, but owning the supply chain where demand is visible and valuation reset has already happened. The market appears to be underweight the persistence of inference demand and overconfident that capex will translate linearly into margins; that creates a window for relative-value positioning rather than outright beta chasing.

Key Decisions for Investors

• Long TSM vs. short NDAQ on a 1-3 month horizon: TSM has the cleanest earnings visibility from AI demand, while NDAQ is a crowded proxy for index-level AI enthusiasm with less direct fundamental torque; target 8-12% relative outperformance if AI spend commentary stays firm.
• Buy NVDA on pullbacks only, using a staggered entry over 2-4 weeks: upside remains intact, but near-term risk/reward is less attractive than supply-chain names; treat 10-15% downside as possible if the market re-focuses on valuation instead of demand.
• Initiate a pair trade long TSM / short INTC for 3-6 months: the thesis is that AI infrastructure growth continues to bypass the legacy CPU cycle; expect continued share loss at INTC if hyperscaler capex stays GPU/accelerator-led.
• Own PLTR selectively via call spreads rather than stock for the next 2-3 quarters: keep exposure to AI software re-rating, but cap downside from multiple compression; use pullbacks after earnings or macro selloffs as entry points.
• If geopolitical risk re-escalates, reduce gross exposure to NVDA/PLTR first and keep TSM as the core hold: the index-heavy names are more vulnerable to forced de-grossing, while TSM has the best fundamental anchor from visible demand.