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Finance

UK's National Grid to invest $1.75 billion in US-based Joulent

Published by Global Banking & Finance Review

Posted on July 1, 2026

2 min read

· Last updated: July 1, 2026

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UK's National Grid bets $1.75 billion on AI power boom with Joulent investment

National Grid's Strategic Investment in Joulent and the AI Energy Surge

Overview of the Investment

July 1 (Reuters) - Britain's National Grid said on Wednesday it will invest $1.75 billion for a 35% stake in Joulent, a U.S. energy platform developing power infrastructure for data centres, as it seeks to tap into surging AI-driven demand for electricity.

Details of the Joulent Project

First Project and Key Partnerships

The deal will help fund Joulent's first project, a 2.67-gigawatt gas-fired facility in West Texas developed in a 50/50 partnership with Chevron, which will supply a Microsoft-operated data centre campus under a 20-year power purchase agreement.

Market Reaction

National Grid shares fell 1.4% to trade at 1,230.5 pence by 1142 GMT.

AI-Driven Electricity Demand

Global Trends

AI-related electricity demand is reshaping energy markets globally. Demand from data centres that power generative artificial intelligence services rose by 17% in 2025, far outpacing the 3% growth in overall global electricity demand.

Financial and Strategic Implications

Investment Funding and Impact

National Grid said the investment was incremental to its existing five-year capital investment programme of at least £70 billion through fiscal year 2031 and would be funded through available capacity on its balance sheet. The transaction was not expected to affect its current financial status, the company said.

Expected Returns

Analyst Insights

"We would expect the targeted returns of this investment through National Grid Ventures to exceed the 9-10% return on equity we expect regulated networks to achieve, reflecting a slightly higher relative risk profile," J.P. Morgan analysts said in a note.

Future Outlook and Expansion

Data Centre Connections and Project Timeline

National Grid said the strategic partnership would also strengthen its existing data centre connection programme, where it expects to connect more than 10 gigawatts across the UK and the United States over the next five years.

Project Kilby and Equipment Procurement

Known as Kilby, the project has already secured critical equipment, including GE Vernova turbines and reserved engineering and construction capacity, and is aiming to start delivering power by 2028.

Financial Projections and Decision Timeline

Joulent is expected to be free cash flow positive from the early 2030s, National Grid said. A final investment decision on the Joulent stake is expected by the end of 2026.

(Reporting by DhanushVignesh Babu in Bengaluru; Editing by Jonathan Ananda and Emelia Sithole-Matarise)

Key Takeaways

  • National Grid targets the surging AI‑driven data center power market by backing Joulent’s launch as a tech‑driven energy provider. Joulent was launched in June 2026 in collaboration with Engine No. 1 and GE Vernova to serve multi‑gigawatt data infrastructure needs (morningstar.com).
  • The deal aligns with National Grid’s strategy to focus on infrastructure innovation amid its broader portfolio repositioning, following its recent divestment of U.S. renewables and refocused investment strategy (pv-magazine-usa.com).
  • The investment signals growing recognition of AI‑induced power demand, with hyperscale data centers increasingly shaping energy markets and infrastructure planning in the U.S. (powertracker.io)

References

Frequently Asked Questions

How much is National Grid investing in Joulent?
National Grid is investing $1.75 billion for a 35% stake in Joulent.
What does Joulent do?
Joulent is a US-based energy platform developing power infrastructure for data centres.
Why is National Grid investing in Joulent?
National Grid is betting on the booming AI-driven power market by investing in infrastructure supporting data centres.
What is the focus of this investment?
The focus is on powering data centres that are essential for AI technologies.

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