National Grid Invests in US AI Power Boom Amidst Surging Data Centre Demands

Executive summary
National Grid has acquired a 35% equity stake worth $1.75bn in Joulent, a US energy developer focused on supplying power to data centres. This investment provides the UK utility company with exposure to the rapidly growing electricity demand from the AI sector in the United States.
Reporting based on ft.com
Why it matters
This move by National Grid, a key player in the UK's energy infrastructure, highlights the escalating power demands of AI data centres and the strategies being employed to meet them. Understanding National Grid's approach in the US market offers insights into potential future challenges and solutions for the UK's own energy system, especially as AI adoption increases domestically.
Sector impact
Analysis by AI Energy Intelligence UK
The investment directly addresses the surging electricity demand from AI data centres. The article notes that powering AI data centres, which house thousands of advanced chips, creates much larger swings in power consumption compared to conventional cloud-computing facilities, necessitating exploration of methods to smooth these fluctuations.
While the investment is in the US, National Grid's involvement in a developer focused on combining multiple power sources (gas turbines, renewable generation, battery storage) for data centres could inform future strategies for ensuring energy security for critical AI infrastructure. The challenge of securing grid connections and critical long-lead equipment is highlighted, suggesting a potential model for resilient power supply.
For National Grid, this investment diversifies its regional US exposure and provides entry into a major source of electricity demand growth. It also allows the company to leverage its expertise in large-scale energy infrastructure and grid operations in the US AI market, which generated approximately 45% of its operating profit in the last fiscal year.
Key statistics
Figures as reported by ft.com. See original source for context.
Quotations
"exposure to a major source of electricity demand growth that diversifies our regional US exposure"
"closer co-ordination between energy and infrastructure"
"provide access to critical long-lead equipment and supply chains"
"pockets of availability"
Long-term implications
The investment indicates a long-term strategic focus by National Grid on the burgeoning AI-driven electricity demand, suggesting a shift towards more decentralised and integrated energy systems for large consumers. It also underscores the global nature of AI infrastructure investment and the critical role of energy transmission expertise in its development.
Frequently asked questions
What is National Grid's recent investment?
National Grid has invested $1.75 billion to acquire a 35% equity stake in Joulent, a US energy developer specialising in supplying power to data centres.
Where is this investment focused?
The investment is focused on the US energy market, particularly on projects like the one with Chevron in west Texas, which aims to provide electricity to a Microsoft data centre.
Why is National Grid making this investment?
National Grid is making this investment to gain exposure to the rapidly growing electricity demand from the AI boom and to diversify its US regional exposure.
What challenges does AI data centre power demand present?
AI data centres require significant and fluctuating power, leading to challenges in securing grid connections, long wait times for equipment, and the need to smooth power consumption fluctuations.
Explore related tools
Original source
This story summarises reporting from ft.com. Read the original for full context.
Read on ft.comRecommended reports
Independent UK research that expands on the themes in this story.

The definitive UK view of AI's electricity, grid and infrastructure impact in 2026. An independent, evidence-based report on demand growth, data centre build-out, AI Growth Zones and the trajectory to 2035 — for UK policymakers, operators and investors.
Read the report
The environmental cost of AI-generated answers versus conventional search, benchmarked for UK decision-makers. An independent, evidence-based comparison of electricity, water and carbon per query across Google, Gemini, ChatGPT, Copilot, Perplexity and Claude — with forecasts to 2035.
Read the report
Bottom-up model of AI-driven electricity growth across UK regions to 2030, with sensitivity to model efficiency and adoption.
Read the reportGet the UK AI Energy briefing
Analysis on AI, electricity and the UK grid, straight to your inbox.