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AI Boom Weakens Utility ETF Case; QQQ Outperforms

The Vanguard Utilities ETF (VPU) has underperformed the S&P 500 and Nasdaq-100 year to date and over the past decade, while the Invesco QQQ Trust ETF (QQQ) offers more direct exposure to AI-driven gains, according to Motley Fool reporter Ben Gran. QQQ has returned an average of 11% annually since March 1999, outperforming VPU's 14.4% three-year annualized return in the context of the AI boom.

read2 min views1 publishedJun 24, 2026
AI Boom Weakens Utility ETF Case; QQQ Outperforms
Image: Letsdatascience (auto-discovered)

Motley Fool reporter Ben Gran examines whether utility stocks are a good play for investors bullish on AI. Motley Fool reports the Vanguard Utilities ETF (VPU) holds 68 utility stocks and delivered annualized returns of 14.4% over the past three years, but has underperformed the S&P 500 and the Nasdaq-100 year to date and over the past 10 years. Motley Fool notes that the Invesco QQQ Trust ETF (QQQ) has returned an average of 11% annually since March 1999 and suggests QQQ may capture AI-driven gains more directly than a utilities basket. Editorial analysis: Industry patterns show sector-concentrated tech ETFs tend to reflect AI upside faster than broadly regulated utility portfolios.

What happened

Per Ben Gran at The Motley Fool, the Vanguard Utilities ETF (VPU) holds 68 utility company stocks and produced 14.4% annualized returns over the past three years. The article reports that VPU has strongly underperformed the S&P 500 and the Nasdaq-100 year to date and over the past 10 years. The Motley Fool piece contrasts VPU with the Invesco QQQ Trust ETF (QQQ), citing QQQ's long-run average annual return of 11% since March 1999 and framing QQQ as a more direct vehicle for AI exposure.

Editorial analysis - technical context

Utility companies are typically regulated, capital-intensive businesses with earnings tied to rate-setting and long-lived grid investments. Industry-pattern observations show higher electricity demand from AI and data-center growth can increase revenue opportunities for utilities, but capture of that revenue depends on regulatory pass-through, timing of rate cases, and capital-expenditure cycles rather than immediate margin expansion seen in cloud and chip vendors.

Context and significance

For investors targeting AI-driven equity returns, sector composition matters. Industry context: ETFs concentrated in large-cap technology and data-center suppliers, such as QQQ, provide more direct exposure to companies that scale revenue and margins with AI workloads. By contrast, broad utility ETFs can act as defensive holdings and may underperform during technology-driven rallies even if they benefit indirectly from higher electricity demand.

What to watch

Monitor capital-expenditure announcements and rate-case outcomes for major utilities, published data-center power contracts and demand trends, and relative flows into VPU versus QQQ. Observers should also track quarterly earnings commentary from major cloud providers and chipmakers for leading signals of AI-driven demand that typically show up in tech-sector performance ahead of indirect infrastructure beneficiaries.

Scoring Rationale #

The story is primarily investment-oriented and has limited technical impact for AI/ML practitioners. It is notable for investors comparing sector ETFs for AI exposure but does not introduce new technical research or infrastructure developments.

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