Drax-Brookfield £20bn AI data centre deal: up to 1GW at the North Yorkshire power station

Drax Group (LSE: DRX) shares jumped roughly 5% in Tuesday morning trading after the UK power generator, asset manager Brookfield and Radiant, Brookfield's UK artificial intelligence infrastructure platform, announced a partnership to develop up to 1 gigawatt of AI data centre capacity on the 1,000-acre Drax Power Station estate in North Yorkshire. Qatar-linked Qai, working through Brookfield's AI infrastructure joint venture with Qai, will provide backing for the project. Drax said total investment could exceed £20 billion ($26.8 billion), including an initial £2.5 billion for the first phase. The stock was changing hands near 848 pence, up about 5% from the prior close of 809 pence.
The deal is the latest large sovereign-flavoured data centre announcement in a European AI buildout. Brookfield is one of the largest infrastructure investors in the world, and Qai brings capital from the Qatari sovereign sphere through the Brookfield-Qai joint venture announced in 2025. That combination pushes the project over the materiality bar on its own: a partnership between two tier-1 players, a listed utility on the sell side and more than $1 billion attached.
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Drax Power Station is the largest single source of renewable electricity in the UK by output, converting biomass, and the site already holds 4GW of grid access with 2.6GW of active dispatchable generation. That is the point of the location. Data centres need firm, connectable power with short construction timelines, and a plant with an existing grid connection and cooling systems can move faster than a greenfield site. The estate also sits close to the UK fibre network, which Drax says supports faster and more certain deployment.
The buildout is phased. Phase 1 targets up to 100MW, operational from Q1 2028, and carries the initial £2.5 billion. Phase 2 aims to ramp to 500MW between 2028 and 2031. Phase 3 adds capacity after 2031. Drax is categorical that Phase 1 progression is subject to the timely passage of planning, the required regulatory and network approvals from the government and the system operator, and securing a suitable tenant for the project. That last condition matters for the market read: the developer is not underwriting the demand, it is landing a tenant first.
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Drax Group chief executive Will Gardiner said the project, if constructed in full, could become one of the largest data centres in the UK, attracting billions in inward investment and supporting sovereign AI capability. Brookfield head of AI infrastructure Sikander Rashid framed it as a critical piece of sovereign AI delivered through Radiant. Radiant chief executive Mahdi Yahya said it would give British researchers, startups and enterprises access to frontier compute at home.
The announcement lands the same week OpenAI separately unveiled its own Grid Protectors program aimed at up to 1GW of grid flexibility for data centre power. The two are different mechanisms: OpenAI's is a demand-side flexibility contract with power providers, while Drax is a physical buildout of compute capacity on an existing generating site. Together they underline the common constraint across the AI trade, which is power, not demand. Every major hyperscaler and frontier lab is now competing for firm megawatts with a grid that cannot add connection capacity quickly, and power-rich industrial sites with existing grid access are the scarce asset.
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The market priced the announcement in the stock, not in the project economics. Drax shares jumped roughly 5% on Tuesday morning because the market read it as a new monetisation of underutilised generation and grid capacity, with Brookfield and Qatari capital absorbing the construction risk. What the primary document actually commits to is more modest: up to 100MW in the first phase, conditional on approvals and a tenant, with the gigawatt scale as an ambition stretched across the rest of the decade and beyond. The bull case is that the site's 4GW of grid access and 2.6GW of dispatchable generation give the partners a credible path to scale. The bear case is the sequencing: the first phase is small relative to the headline, the outsized total depends on a tenant and eight more years of approvals, and data centre power agreements remain exposed to the same grid-connection queues that have delayed projects across the UK.
The government welcomed the announcement, with Chief Secretary to the Treasury Emma Reynolds casting it as part of a push to seize AI opportunities in the national interest, and the partners said their initial assessment is that the project aligns with the new Data Centre Covenant that government unveiled to accelerate time to power and planning for strategically important data centres. The political framing matters less than the flow of capital: UK sovereign AI capacity is now being financed in part by Qatari money through a Brookfield vehicle, the same structure that earlier backed Naver's $10 billion AI factory in which Brookfield added $9 billion and Nvidia added $1 billion. That is the pattern to watch, international infrastructure capital converting cheap energy and grid access into AI compute and taking a share of the frontier that used to belong to hyperscalers alone.
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What is dated next is largely local. A community consultation on the plans is set to begin shortly, with the formal planning process to follow in the coming months, and Drax is targeting a start to the planning process in the coming weeks. Phase 1 already assumes Q1 2028 operation, so the planning, regulatory and tenant milestones over the next two quarters are the real catalysts, not the headline capacity number. For investors, the read is straightforward: the market has now priced the site's option value, and the deliverable will be measured in planning decisions and a signed tenant, not in gigawatts of ambition.
This content is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Consult a qualified financial advisor before making investment decisions.
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