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

The article argues that AI stocks have become more attractive after recent valuation pullbacks, with Nvidia trading near its cheapest level in a year and many high-quality AI names still at reasonable prices despite the Nasdaq’s rebound to record highs. It cites ongoing explosive demand for AI customers, including confirmation from Taiwan Semiconductor Manufacturing, as support for the long-term growth story. Overall, the piece is bullish on AI equities but is mainly commentary rather than new market-moving information.

Analysis

The immediate read is that this is less a fresh fundamental inflection than a positioning reset inside a crowded growth trade. When macro fear fades, the first names to re-rate are the highest-beta compounders because they were most de-grossed on the way down; that creates a mechanically powerful squeeze that can persist for days to weeks even if nothing changed in the underlying business mix. The supply chain implication is that TSM is the cleaner way to express the AI capex rebound: it monetizes the demand curve without taking single-name model risk around valuation or product-cycle execution.

What the consensus is likely missing is that the market is now bifurcating between “AI beneficiaries” and “AI toll collectors.” Nvidia and Palantir are still consensus-owned expressions of the theme, so they remain vulnerable to any sign that monetization is lagging infrastructure spend by even one quarter. By contrast, upstream semiconductor capacity and foundry exposure should have better downside protection because hyperscaler budgets are sticky once committed, but the earn-back period is what matters: if order growth slows while valuations stay elevated, the multiple compression can overwhelm EPS growth over a 1-2 quarter horizon.

The other second-order effect is that easing geopolitical stress can rotate capital back from defensives into growth, but that rotation is fragile if real rates rise or if AI capex guidance disappoints in the next earnings cycle. In that scenario, the current rally becomes a short-covering event rather than a durable leadership change. The key catalyst sequence to watch is not sentiment headlines, but whether cloud spend and inference demand translate into stronger forward booking commentary from the semiconductor supply chain over the next 30-60 days.

NFLX is effectively noise in this setup: it may participate as a large-cap duration asset, but it is not a direct AI beta trade and should be treated as a funding source rather than a core expression. The better setup is to lean into relative value within AI rather than outright index longs, because the market is once again paying up for narrative exposure before the next proof point arrives.

Key Decisions for Investors

• Long TSM / short QQQ for 4-8 weeks: express the view that AI demand is real but the index is over-owned; TSM offers cleaner fundamental upside with lower multiple risk than the mega-cap basket.
• Buy NVDA on pullbacks only, using 30-45 day call spreads instead of stock: captures a potential squeeze while limiting damage if the next capex update disappoints and the multiple re-rates lower.
• Pair long TSM vs short PLTR on a 1-2 quarter horizon: prefer hardware monetization over software narrative at this stage of the cycle; better risk/reward if AI spend remains strong but breadth narrows.
• Reduce/avoid adding NFLX here; if portfolio needs funding, trim strength into the current risk-on rotation since it is not a direct beneficiary of the AI re-leverage trade.
• Set a catalyst stop on all AI longs for the next earnings season: if hyperscaler commentary on spend or utilization softens, cut exposure quickly because the unwind in crowded growth names can be 10-15% in days, not months.