Morgan Stanley Highlights 38-Gigawatt AI Data Center Power Deficit and Top Industrial Picks

Yahoo Finance ·

According to Morgan Stanley, U.S. data centers will require approximately 68 gigawatts of electricity between 2026 and 2028. With roughly 15 gigawatts secured through ongoing construction and another 15 gigawatts available via existing grid capacity, a substantial 38-gigawatt power shortfall emerges. Because securing new grid connections can take up to seven years, artificial intelligence developers are increasingly turning to on-site generation methods like natural gas turbines. This energy crunch cannot be solved by chips alone, creating massive opportunities for industrial leaders. Analysts point out that GE Vernova provides essential power generation turbines, Eaton supplies critical electrical distribution equipment including transformers and switchgear, and Vertiv delivers advanced power management and cooling solutions necessary to prevent graphics processing units from overheating.

AI 시장 분석

Morgan Stanley forecasts that US AI data centers will require approximately 68 gigawatts of power between 2026 and 2028, with a projected power deficit of 38 gigawatts. As AI companies cannot afford long grid connection wait times and seek self-generation and infrastructure solutions, related industrial stocks are gaining attention. Investors should look beyond NVIDIA chips toward physical infrastructure companies responsible for power generation, transmission, distribution, and cooling.

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DYAX 전담 분석

Due to the rapid surge in power demand from AI data centers creating a severe 38-gigawatt power gap, infrastructure companies such as GE Vernova, Eaton, and Vertiv, which supply gas turbines, transformers, and cooling systems, are expected to be direct beneficiaries. This will drive the earnings growth of companies solving the power infrastructure shortage issue.

The bullish scenario involves aggressive investments in self-generation and power equipment by data center developers leading to a surge in related corporate revenue, while the bearish scenario involves actual deliveries being disrupted due to power grid permitting delays or supply chain bottlenecks. Key indicators to watch are the signing speed of data center power contracts and power equipment order backlogs.

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