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

The article argues that if the AI boom continues, the Invesco QQQ Trust ETF is likely the better upside vehicle because it holds major AI names and has returned 11% annually since its 1999 inception. The Vanguard Utilities ETF has 68 holdings, a 2.64% trailing dividend yield, and 9.8% average annual returns over 22 years, but it has lagged QQQ and the S&P 500 this year and over 10 years. Utilities did outperform in 2022, gaining 1.04% versus a 32.58% drop for QQQ, making them the more defensive choice if an AI bubble bursts.

Analysis

The market is still treating AI as a single-factor growth story, but the real dispersion is likely to come from where cash flows accrue in the stack. QQQ captures the monetizers: semis, cloud, and platform owners with operating leverage; utilities are closer to a regulated throughput business where higher capex often raises rate-base, not equity returns, and that translation lags by years. In other words, if AI demand is real, the first-order winners are still the hardware and software toll collectors, while utilities mostly absorb the infrastructure burden.

The more interesting second-order effect is that utilities can become a volatility sink only after a tech drawdown has already started. That means VPU is not a proxy for AI upside; it is a hedge against multiple compression and factor rotation, particularly if the market starts pricing longer-duration cash flows less generously. The 2022 comparison is useful because it highlights the regime dependence: utilities outperform when the market is de-risking, not when AI capex is accelerating.

The consensus is probably underestimating how concentrated the upside remains in a handful of AI beneficiaries. NVDA, MSFT, GOOGL, and MU still have the cleanest path to incremental earnings revisions from capex spend, while AAPL is more of a lagging beneficiary unless AI drives a new device cycle. By contrast, CEG and NEE may see improved load growth optics, but equity upside is capped by regulatory lag, financing costs, and the risk that incremental power demand gets socialized through politics rather than captured by shareholders.

Key Decisions for Investors

• Stay long QQQ versus VPU as a structural pair for the next 3-6 months; risk/reward favors the tech basket if AI spend keeps revising up, while utilities only outperform in a disorderly de-grossing event.
• For a cleaner AI beta expression, overweight NVDA/MSFT over AAPL in the near term; the former have more direct EPS sensitivity to AI capex, while AAPL needs a later device-cycling catalyst.
• Buy a tactical hedge: long VPU vs short QQQ only if NASDAQ-100 valuation expansion stalls; use it as a drawdown hedge, not a primary AI expression.
• Prefer MU on pullbacks as a higher-beta semi beneficiary of AI memory demand; the setup has better upside convexity than utility exposure if capex remains intact over the next 1-2 quarters.
• If the market starts discounting an AI bubble, add VPU defensively only after a 5-10% QQQ decline; the hedge works best when factor rotation has already begun, not when implied volatility is still cheap.