The AI Boom Could Be a Bad Reason to Buy Utility Stocks. Try This ETF Instead.

The article compares the Invesco QQQ Trust ETF and Vanguard Utilities ETF as ways to express views on the AI boom, noting QQQ’s 11% average annual return since March 1999 versus VPU’s 9.8% over 22 years. It argues QQQ is the better AI-bullish play because it holds major AI leaders like Nvidia, Apple, Alphabet, Micron, and Microsoft, while VPU may offer defensive protection if an AI bubble bursts. VPU gained 1.04% in 2022 versus a 32.58% decline for QQQ, highlighting its relative resilience in tech selloffs.

Analysis

The market is still pricing AI as a single-factor growth regime, but the article’s comparison misses the key second-order effect: utilities are a constrained pass-through business, while AI winners monetize demand growth with operating leverage. If incremental power demand from data centers accelerates, the economic surplus will likely be captured first by chip vendors, hyperscalers, and networking names rather than regulated utilities, which face lags in rate cases, interconnection bottlenecks, and political pushback that cap near-term upside.

That said, utilities are not dead money in a tape correction; they are a volatility sink. The 2022 relative outperformance matters because it shows the factor behaves like a duration hedge when discount rates or AI sentiment reset, but the hedge works better as a short-term risk-off sleeve than as a structural AI expression. In contrast, QQQ remains the cleaner way to express continued AI capex and earnings revisions because the basket has direct exposure to the beneficiaries of productivity gains, not just the power demand annex.

The contrarian miss is that the utility trade may already be crowded as a “hidden AI beneficiary” narrative, while the bigger underowned winners are the picks-and-shovels suppliers with operating leverage to data-center buildout. Within the named universe, NVDA, MSFT, GOOGL, and MU still have the most torque to accelerating AI capex; CEG is the only utility-adjacent name with a plausible rerating path if power scarcity stays acute, but it is also more exposed to policy and power-price normalization than the market assumes.

Key Decisions for Investors

• Stay long QQQ vs VPU as a medium-term expression of AI continuation; prefer a 3-6 month horizon where earnings revisions and capex guides can keep the spread working.
• For a hedge against an AI drawdown, buy VPU only as a tactical 1-3 month defensive allocation, not as a core AI proxy; fade strength if it rerates on crowded safe-haven flows.
• Within QQQ, overweight NVDA/MSFT/GOOGL over utility-adjacent names; the risk/reward remains superior because earnings leverage is still underappreciated relative to power-demand beneficiaries.
• Consider a pair trade long CEG / short VPU only if power scarcity headlines intensify; otherwise the utility basket is a lower-beta way to own the same narrative with less upside.
• If AI sentiment cracks, rotate from QQQ into VPU on the first 5-8% Nasdaq-100 drawdown; utilities historically work best as a fast hedge, not a buy-and-hold alpha source.