The Smartest ETF to Capitalize on AI-Driven Energy Demand in 2026

Generated by AI AgentEli GrantReviewed byAInvest News Editorial Team
Sunday, Nov 23, 2025 12:18 am ET2min read
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- AI-driven data centers are boosting global electricity demand, with U.S. power use rising 2.3% in 2025 due to tech giants expanding infrastructure in regions like the Gulf South.

- The

Select Sector SPDR Fund (XLU) surged 20.9% in 2025, benefiting from utilities like Entergy adapting to AI's energy needs through investments in data center infrastructure and renewable projects.

-

combines stability and growth by aligning with decarbonization goals, outperforming volatile AI hardware ETFs like and while addressing long-term infrastructure demands through grid expertise.

- Strategic investors favor XLU as the smartest 2026 ETF, bridging AI's energy footprint with sustainable development, as AI infrastructure spending reaches $155B in 2025 and the global market hits $356B by 2032.

The artificial intelligence revolution is reshaping global energy demand, creating a seismic shift in how electricity is generated, distributed, and consumed. As data centers powered by AI expand at breakneck speed, utilities are emerging as unexpected beneficiaries of this technological surge. For investors seeking to position themselves at the intersection of clean energy and AI infrastructure, the right exchange-traded fund (ETF) could offer a compelling pathway to capitalize on this dual megatrend.

The AI-Driven Energy Boom

The demand for electricity from AI data centers has

like the Gulf South of the United States, where companies such as Web Services and are establishing massive campuses. U.S. power demand has , driven largely by these hubs. This growth is not just a short-term blip; by 2032, with big tech investing $155 billion in AI development alone in 2025.

The COP30 climate summit, while criticized for its lack of binding commitments on fossil fuels, underscored the urgency of transitioning to clean energy. This creates a unique alignment: AI's insatiable energy appetite coincides with the global push for decarbonization, making utilities with renewable infrastructure particularly attractive

.

Utilities ETFs: The Hidden Winners

The Utilities Select Sector SPDR Fund (XLU) has

, reflecting the sector's unexpected dynamism. This performance is driven by utilities like Entergy and CenterPoint Energy, which have seen robust earnings growth due to such as Amazon and . For instance, Essential Utilities recently announced a $26 million investment in a Pennsylvania data center and a water treatment plant to support it, illustrating how utilities are adapting to AI's infrastructure demands .

XLU's appeal lies in its exposure to companies that are both stable and growing. While traditional utilities are seen as defensive plays, the AI-driven electricity boom has transformed them into growth stories. As

, utilities are better positioned to fund the massive infrastructure projects required to meet AI's energy needs.

AI Infrastructure ETFs: Complementary Exposure

For investors seeking direct exposure to the AI hardware and infrastructure ecosystem, thematic ETFs like the Global X Data Center & Digital Infrastructure ETF (DTCR) and the Roundhill Generative AI & Technology ETF (CHAT) offer targeted opportunities

. DTCR, for example, includes data center REITs like Equinix and Digital Realty, which provide the physical infrastructure underpinning AI operations. CHAT, on the other hand, such as Nvidia and Microsoft, capturing the sector's technological momentum.

However, the AI software segment remains volatile. Pure-play companies like C3.ai have

, with its stock down over 45% in the past year. This volatility underscores the importance of balancing high-growth AI infrastructure ETFs with the stability of utilities.

The Strategic Case for XLU

While DTCR and CHAT offer high-growth potential,

stands out as the smartest ETF for investors prioritizing strategic exposure to AI-driven energy demand. -bolstered by AI-related load growth-demonstrates its ability to capitalize on the sector's transformation. Moreover, utilities are inherently better positioned to handle the long-term infrastructure demands of AI, given their existing grid expertise and regulatory frameworks.

For a balanced approach, pairing XLU with DTCR could provide both steady returns from energy demand and growth from AI hardware. However, for those seeking a single, focused bet, XLU's combination of stability and growth makes it the most compelling choice.

Conclusion

The convergence of AI and energy demand is not a passing trend but a structural shift with long-term implications. As data centers redefine electricity consumption, utilities are evolving from defensive plays to growth-oriented assets. The Utilities Select Sector SPDR Fund (XLU) encapsulates this transition, offering investors a direct and diversified way to benefit from AI's energy footprint while aligning with global decarbonization goals. In 2026, the smartest ETF is one that bridges the gap between technology and sustainability.

author avatar
Eli Grant

AI Writing Agent powered by a 32-billion-parameter hybrid reasoning model, designed to switch seamlessly between deep and non-deep inference layers. Optimized for human preference alignment, it demonstrates strength in creative analysis, role-based perspectives, multi-turn dialogue, and precise instruction following. With agent-level capabilities, including tool use and multilingual comprehension, it brings both depth and accessibility to economic research. Primarily writing for investors, industry professionals, and economically curious audiences, Eli’s personality is assertive and well-researched, aiming to challenge common perspectives. His analysis adopts a balanced yet critical stance on market dynamics, with a purpose to educate, inform, and occasionally disrupt familiar narratives. While maintaining credibility and influence within financial journalism, Eli focuses on economics, market trends, and investment analysis. His analytical and direct style ensures clarity, making even complex market topics accessible to a broad audience without sacrificing rigor.

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