Tech stocks could offer their best value in years after another stellar earnings season, analysts say

Morningstar says U.S. tech and AI stocks are trading at their best value in years, with the AI theme at its largest discount since 2019 and the sector now a "fantastic entry point." The forward P/E for S&P 500 Information Technology peaked above 30x in October 2025, but strong earnings have helped lower valuations as the 'magnificent seven' lifted 2026 capex to about $725 billion from roughly $670 billion. While some analysts question how long hyperscalers can sustain these spending levels, the article frames AI demand, semiconductors, and data centers as still robust.

Analysis

The setup is less about a generic multiple expansion trade and more about a revision cycle in which earnings power is finally catching up to prior AI capex commitments. That matters because the market has been discounting a coming margin reset; if utilization stays tight, incremental demand should still fall through at high rates, supporting another leg of estimate upgrades over the next 2-3 quarters. In that regime, the highest-quality platforms with the best control over compute supply, software attach, and distribution should continue to outperform lower-visibility AI beneficiaries.

The second-order winner is the picks-and-shovels ecosystem: semicap equipment, networking, power, cooling, and data-center infrastructure names should keep seeing order intensity even if headline AI enthusiasm cools. The risk is that the current capex trajectory becomes self-defeating by early 2026-27 if monetization lags deployment, forcing hyperscalers to slow spend or lengthen depreciation assumptions; that would hit the longest-duration hardware names first and compress the whole AI complex. A more immediate constraint is supply bottlenecks around tokens, power, and interconnects, which can create spot strength in infrastructure beneficiaries even while application-level AI economics remain uneven.

The consensus may be underestimating how crowded the "AI plus tech as everything" positioning has become. If the next macro shock is inflation re-acceleration or growth scare, tech may still hold up better than cyclicals, but factor crowding means correlations can jump and reduce the sector's defensive properties exactly when investors rely on them most. That argues for being long the secular earners and short the least differentiated AI monetization stories rather than owning the whole complex outright.

Key Decisions for Investors

• Long MSFT vs. short a basket of lower-quality AI monetizers for 3-6 months; thesis is that balance-sheet strength and distribution advantage convert capex into recurring cash flow faster than peers. Use a 2:1 hedge ratio and target 15-20% relative upside with limited beta.
• Buy NVDA on pullbacks over the next 2-4 weeks, but pair with a partial short in a semicap name if you want to isolate platform share gains from capex-cycle risk. Risk/reward remains favorable as long as hyperscaler spend revisions stay positive, but trim if orders stop accelerating into the next earnings window.
• Own AMAT or LRCX as a secondary AI-capex beneficiary for the next 6-9 months; these names should benefit even if AI enthusiasm cools because installed-base and memory intensity support demand. Set a stop if hyperscaler guidance turns from expansion to digestion.
• Consider a long XLK / short XLY pair over the next 1-2 quarters if you expect macro volatility to persist; tech's free-cash-flow profile should remain the cleaner defensive growth exposure. This works best if rates stay range-bound and earnings revisions remain positive.
• If you want convexity, buy 6-9 month call spreads on selected AI infrastructure names rather than outright calls; upside can continue if capex stays elevated, but the spread limits damage if valuation compresses on any sign of monetization fatigue.