Citi Strategist Cited Power Constraints on AI Growth
The firm identified power generation as a persistent bottleneck for expanding artificial intelligence infrastructure.
Updated on Oct. 5, 2026 in Artificial Intelligence
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Citi strategist Stuart Kaiser warned that limitations in power generation megawatts continue to hinder the immediate expansion of artificial intelligence infrastructure in the United States. Despite these hurdles, capital spending remains firmly committed for the next 12 to 24 months.
Why it matters
Power generation capacity acts as a critical constraint for the sector, while the integration of AI into healthcare drug development provides new avenues for market growth. These infrastructure bottlenecks currently impact the investment landscape for utility and power providers.
Estimated AI-related capital spending is set to hit $1 trillion by 2027 and reach nearly $4 trillion by 2030. Performance metrics for related sectors are mixed, with the XLV healthcare ETF up 7.07% year-to-date while the XLU utilities ETF has declined over 7%.
The players
Stuart Kaiser
He is a strategist at Citi who provides analytical insights into market trends and capital allocation.
Citi
It is a global financial services corporation that provides investment banking and research services.
The details
Rising yields and election-related affordability concerns are currently exerting downward pressure on utility providers. These constraints on power generation are expected to eventually impact earnings growth across the broader market as capital spending continues.
Timeline
September 2026: Citi issued caution regarding utility and power costs.
Next 12 to 24 months: AI-related capital spending remains committed.
2027: Estimated $1 trillion in AI-related capital spending.
2030: Estimated nearly $4 trillion in total AI capital spending.
The Tech Race
The divergence between traditional utility ETFs and power infrastructure funds reflects a fundamental shift in how markets value the energy required to scale AI hardware. This repositioning marks a departure from legacy utility stability toward a focus on power generation capacity as a primary tech metric.
Investors may see varying returns in tech-heavy or utility-linked portfolios as power constraints continue to influence market valuations. Increased capital commitment to AI infrastructure could influence future energy costs or service availability for household and commercial users.
The takeaway
The bottleneck in power generation serves as a reminder that digital growth is physically constrained by energy infrastructure capacity. Readers should watch the utility sector closely as the scale of artificial intelligence investment continues to ramp up toward 2030.
Further reading
For more on how infrastructure influences digital development, see our Artificial Intelligence section.
Source note: This article includes information reported by Asianet News Network Pvt Ltd.
Live Poll
Do you believe power infrastructure limits will significantly slow the long-term adoption of AI technology?
