Prediction: The Nasdaq's AI Stocks Will Outperform the S&P 500 Over the Next 12 Months. Here's What to Buy.

Nasdaq-100 companies are expected to post 19% year-over-year net income growth in Q1, versus 11% for the S&P 500, with the article arguing the gap should persist through 2026 on AI infrastructure and software spending. CoreWeave is highlighted as a key beneficiary, with a $90 billion revenue backlog, plans to double 2026 capex to $30 billion-$35 billion, and shares up 49% in April; Microsoft is also positioned to benefit as Copilot adoption accelerates, with 15 million paid Microsoft 365 Copilot seats and a 22x forward P/E.

Analysis

The key second-order effect is that AI capex is no longer just a demand story for semis; it is becoming a balance-sheet transmission mechanism across the stack. The hyperscaler buildout and neocloud expansion should keep utilization tight for GPU vendors, memory, racks, power, and networking, but the most durable margin expansion likely sits one layer up in software and orchestration, where incremental revenue can scale faster than capital intensity. That argues for relative strength in platforms with embedded distribution and recurring enterprise usage, while pure infrastructure names may stay more volatile as investors continually re-rate backlog versus funding needs.

CoreWeave is the clearest momentum expression, but the risk is that the market is underpricing duration risk in a capex-heavy model. A 10x sales multiple looks cheap only if financing stays benign and backlog converts on schedule; any wobble in customer concentration, data-center delivery, or debt markets can compress the multiple sharply because the equity is effectively levered to AI demand and funding conditions at the same time. The bigger winner may actually be suppliers to the buildout that do not need to keep doubling capex to sustain growth.

Microsoft looks better positioned than the article implies because AI monetization is moving from experimental usage to seat-based procurement, which tends to improve retention and budgeting visibility over the next 2-3 quarters. The contrarian concern is that consensus may be extrapolating near-term Copilot adoption into a straight-line revenue acceleration, when the real earnings tailwind likely arrives with a lag as enterprise renewals reset and usage broadens. If AI software spend slows even modestly, Microsoft should still outperform on quality, but the multiple expansion case weakens quickly.

The broader tape is likely to reward a barbell: long profitable AI enablers with operating leverage, short or underweight the most expensive beta proxies that need uninterrupted optimism. The current rally can extend for weeks, but over a 3-6 month horizon, positioning may become crowded enough that any miss in capex commentary or enterprise AI conversion triggers a sharp rotation out of the higher-duration names.

Key Decisions for Investors

• Long MSFT vs. short a basket of high-duration AI infrastructure proxies over 3-6 months; MSFT has cleaner earnings durability and lower funding risk, while the shorts are more exposed to multiple compression if backlog conversion disappoints.
• Trade CRWV tactically only on strength: buy call spreads or small size common into pullbacks, not breakouts, because the equity remains highly sensitive to financing and execution risk despite strong order momentum.
• Overweight NVDA on 1-3 month horizon as the most direct beneficiary of sustained capex; risk/reward is favorable as long as AI spending guides remain intact, but trim into further parabolic moves because supply-chain benefits are being discounted faster than end-demand certainty.
• Pair long MSFT / short software vendors with weaker distribution or less recurring enterprise exposure for a cleaner AI monetization trade; the market is likely to keep rewarding firms that can translate AI usage into contracted seats and renewals.
• If CRWV rallies another 15-20% without a fresh backlog catalyst, consider selling upside calls against core long exposure to monetize implied volatility and hedge against a funding-driven drawdown.