Nasdaq Rebound: 3 Stocks to Buy Before They Hit New All-Time Highs

The article argues Nvidia, Microsoft, and Broadcom are attractive buy candidates ahead of a potential Nasdaq rebound, citing strong AI demand, recent sell-offs, and favorable valuation/setup. Nvidia is expected to deliver 79% revenue growth this quarter and 71% for the year, Microsoft reported 17% revenue growth and 60% GAAP net income growth, and Broadcom’s custom AI chip business is projected to exceed $100B in revenue by end-2027. This is bullish stock commentary rather than new company-specific news, so near-term market impact should be limited.

Analysis

The setup is less about “AI winners” and more about which parts of the AI stack have the cleanest second-order leverage if enterprise capex stays intact. NVDA remains the highest beta expression to continued accelerator demand, but its marginal upside now depends on cadence and supply-chain execution more than headline growth; any slip in Blackwell/Rubin timing would hit sentiment harder than fundamentals because positioning is crowded and expectations are already elevated. The cleaner relative winner may be AVGO, where custom silicon captures share when customers optimize for unit economics rather than performance leadership, which becomes more attractive if hyperscalers start demanding lower TCO versus premium GPU supply.

MSFT is the most interesting risk/reward from a trading perspective because the stock already discounts a lot of macro and sentiment damage, but its earnings power is increasingly driven by operating leverage in cloud and AI monetization rather than one-off growth bursts. If the print confirms that AI infrastructure spend is still translating into durable Azure consumption, the stock can rerate faster than NVDA/AVGO because the market is positioned for “good but not great” and any stabilization in margins can expand the multiple. The main contrarian risk is that AI capex is not the variable; monetization cadence is, and if revenue growth keeps outpacing visible margin expansion, the market may question payback periods for the ecosystem.

A broader takeaway: the market may be underestimating how quickly capital rotates from pure-play GPU narratives into toll-collectors and platform owners with diversified earnings streams. That favors a relative-value long basket versus semis more exposed to single-product scrutiny, while leaving room for a short-term squeeze if earnings confirm that AI spend is still accelerating into the next two quarters. The vulnerable leg is any disappointment in hyperscaler guidance, because that would pressure all three names simultaneously through the same factor trade: AI capex duration.

Key Decisions for Investors

• Go long AVGO vs NVDA into the next earnings window (2-6 weeks): AVGO has better downside support if AI spend broadens from performance-led GPUs to TCO-led custom silicon; target 8-12% relative outperformance, stop if NVDA guidance re-accelerates materially.
• Buy MSFT on any post-earnings volatility spike or 5-7% pullback over the next 1-3 weeks: the asymmetry is favorable because the stock is already de-rated, and a clean Azure/AI monetization read-through can drive a fast multiple re-rating.
• Use NVDA as a tactical long, not a core add, via call spreads into earnings: upside is strong if supply execution remains clean, but crowded positioning means a modest miss can compress 10-15% quickly.
• Pair long MSFT / short a basket of smaller AI beneficiaries over 1-2 months: if AI spend remains real but selective, platform incumbents should capture the monetization while peripheral beneficiaries give back excess beta.
• Set a hard risk trigger on hyperscaler capex commentary: if the next major cloud print implies slower AI infrastructure growth, reduce semis exposure by 30-50% because the entire thesis is duration-sensitive.