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Britain's National Grid is making a strategic move into the U.S. Energy market with a significant investment in Joulent, aiming to capitalize on the surge in electricity demand from data centers and AI platforms.
National Grid, one of the UK’s leading energy companies, has announced a $1.75 billion investment for a 35% stake in Joulent, a U.S.-based energy platform focused on developing power infrastructure for data centers. This strategic move is designed to capitalize on the rapidly growing demand for electricity driven by artificial intelligence (AI) and other high-tech applications.
The deal will primarily fund Joulent's first major project: a 2.67-gigawatt gas-fired facility in West Texas, developed in partnership with Chevron. The facility will supply power to a Microsoft-operated data center campus under a long-term 20-year power purchase agreement. National Grid shares fell 1.4% to 1,230.5 pence by midday on Wednesday, reflecting market reactions to the investment.
AI-related electricity demand is reshaping energy markets globally. In 2025, data centers that power generative AI services saw a 17% increase in electricity demand, significantly outpacing the 3% growth in overall global electricity consumption. This trend underscores the critical role of robust and reliable power infrastructure in supporting the digital transformation.
National Grid's investment is incremental to its existing five-year capital investment program, which totals at least £70 billion through fiscal year 2031. The company plans to fund this new venture through available capacity on its balance sheet, with no expected impact on its current financial status.
J.P. Morgan analysts anticipate that the returns from this investment through National Grid Ventures will exceed the 9-10% return on equity typically achieved by regulated networks. This higher return reflects the slightly elevated risk profile associated with the project. The strategic partnership is also expected to strengthen National Grid's existing data center connection program, where it aims to connect more than 10 gigawatts across the UK and the United States.

The investment in Joulent aligns with National Grid's broader strategy to diversify its portfolio and capture opportunities in high-growth sectors. By partnering with Chevron and Microsoft, National Grid is positioning itself at the forefront of the energy transition, leveraging advanced technologies to meet the evolving needs of data-intensive industries.
The market reaction to National Grid's investment in Joulent highlights the cautious optimism surrounding such strategic moves. While the immediate share price dip suggests some investor skepticism, the long-term potential of this venture is significant. The 17% growth in AI-related electricity demand and the 20-year power purchase agreement with Microsoft provide a solid foundation for future returns.
National Grid's ability to fund this investment without impacting its financial stability demonstrates its strong balance sheet and disciplined capital allocation strategy. As the energy sector continues to evolve, companies that can adapt and innovate will be well-positioned to capture emerging opportunities. National Grid's investment in Joulent is a clear signal of its commitment to staying ahead of the curve in a rapidly changing market.
The success of this project will depend on various factors, including regulatory support, technological advancements, and market demand for AI-driven services. However, with strong partners and a well-defined strategic vision, National Grid's investment in Joulent has the potential to deliver substantial value for shareholders and contribute to the broader energy transition.
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UK's National Grid bets $1.75 billion on AI power boom with Joulent investment
↗ https://www.reuters.com/business/uks-national-grid-invest-175-billion-us-based-joulent-2026-07-01
About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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