Drax shares jumped more than 8% on Tuesday after the British power company said it is teaming up with Brookfield and AI infrastructure platform Radiant to develop a data center campus at Drax Power Station in North Yorkshire, according to CNBC and Investing.com. The partners say the project could attract more than £20 billion, about $27 billion, of investment and grow beyond one gigawatt of capacity.

Who brings what

• Drax: the land, the power and grid access through the station’s existing 4-gigawatt connection.
• Brookfield: capital, through a joint venture with Qatar’s Qai.
• Radiant: AI infrastructure expertise.

The plan, phase by phase

The project is planned in three phases. The first targets up to 100 megawatts, with commercial operations aimed for early 2028 and an estimated initial investment of £2.5 billion. That first phase still needs planning, regulatory and network approvals, and the partners have not yet made a final investment decision.

Why this matters

As we have covered in our power explainers, the hardest part of building AI capacity is often the grid connection, not the chips. A site that already has a very large connection and a power plant on it skips one of the longest waits in the industry. That is why existing power stations are becoming some of the most sought-after real estate in the AI build-out.

The caution

Analysts were split. JPMorgan said the deal could lift how investors value Drax’s data center ambitions. Citi noted that very little financial detail has been released and that the announcement reads more like a memorandum of understanding than a firm contract. Big headline numbers on day one are not the same as concrete poured.

BOSSTOX publishes educational content, not investment advice.

Going Deeper: Reading a Headline Number Like This One

Figures such as “could attract more than £20 billion” and “beyond one gigawatt” describe a long-term ambition across several phases, not money committed on announcement day. As of early November 2026, a few habits help put a campus announcement of this kind in context.

• Separate the phases. The first phase, up to 100 megawatts, is a small fraction of the full ambition. Later phases depend on demand, approvals and financing that have not yet been arranged.
• Note the word “could.” Investment that “could” be attracted is a projection by the partners. It is not a contract or a final investment decision.
• Look for the decision points. Planning permission, regulatory approvals, network approvals and a final investment decision are each separate milestones. Each one is a moment when the project’s shape can change.
• Watch how capacity is measured. A connection’s size and the power a campus actually draws are different things. Grid capacity at a site may also be shared with existing uses.

Why Power Stations Appeal to Data Center Developers

Earlier BOSSTOX explainers on interconnection queues and brownfield sites describe why existing power infrastructure is so valuable. A large station typically sits beside high-voltage transmission built to export a great deal of electricity. Reusing that connection can, in principle, avoid some of the longest waits in the development process. Such sites also tend to offer large parcels of industrial land and established access routes.

That does not mean the conversion is simple. Even with an existing connection, grid operators and regulators generally need to study how a large new load would interact with the system, especially if generation on the site and demand from a campus are expected to coexist. The original article notes that network approvals are still required for the first phase.

How the partner structure divides roles

The roles described above follow a common pattern in infrastructure deals: one party brings the site and its power, another brings capital and a third brings operating or technical expertise. Each typically shares in the returns in proportion to what it contributes and the risks it takes. Until definitive agreements are published, the exact split of costs, ownership and returns is unknown, which is part of why some analysts urged caution.

What to Watch From Here

1. Definitive agreements. Whether the partners move from an announced collaboration to binding contracts with disclosed terms.
2. Planning and regulatory filings. Applications to local and national authorities often contain detail on power use, cooling, water and construction schedules.
3. Grid approvals. Progress on the network permissions needed for the first phase.
4. Tenant commitments. Whether a customer signs on to use the capacity, which would strengthen the case for financing.
5. Final investment decision. The point at which the partners commit to building, and the clearest signal that the first phase is moving forward.
6. Timeline updates. Any change to the early 2028 target for commercial operations.

Questions Readers Ask

What is a memorandum of understanding? It is a document in which parties outline their intention to work together. It is usually not a binding commitment to complete a deal, which is why it differs from a firm contract.

Why would a share price jump on a non-binding announcement? Prices reflect expectations. Investors may see added value in the site’s potential even before details are final, though expectations can shift as more information emerges.

Why do analysts disagree on the same announcement? They weigh different things. One may focus on the strategic value of the site’s connection and the quality of the partners, while another focuses on the absence of financial terms and binding commitments. Both views can be reasonable at the same time, and later disclosures usually narrow the gap.

Does a 100-megawatt first phase mean the project is small? It is modest compared with the full ambition, but phasing is standard for large campuses, as earlier BOSSTOX coverage explains. Each phase is typically tied to power availability and demand.

Power density is the amount of electrical load assigned to a rack or a room. It matters because almost all of that electricity becomes heat. A building designed for 10 kW racks can be operationally overwhelmed by a small number of 80 kW or 100 kW AI racks even if the campus average still looks moderate.

The 2024-to-2027 period is important because AI systems are shifting from individual accelerator cards toward integrated rack-scale systems. The rack is becoming a unit of deployment, power distribution, cooling, networking, and service.

The density curve is not uniform

A conventional enterprise rack may operate below 10 kW. A virtualized cloud rack may run in the 10-to-20 kW range. High-performance computing and AI racks can move through 30, 50, 80, and above 100 kW depending on the server design and workload.

Vertiv’s 2025 analysis cited a change in the installed mix: below-10-kW racks represented 38% of capacity, down from 47% in 2024; 10-to-20-kW racks represented 30%, and 20-to-30-kW racks represented 28%. The exact mix varies by provider and building, but the direction shows why legacy air designs are being reworked.

A high-density rack is not always full

Nameplate power is a ceiling, not necessarily the continuous draw. A rack may be provisioned for 80 kW and average 55 kW. It may also ramp quickly as workloads start. The electrical design must address both sustained and transient demand.

A facility that uses average power for planning can underbuild distribution, generators, cooling, or UPS systems. A facility that assumes every rack will draw its maximum can overbuild expensive infrastructure. The solution is measurement and a clear operating envelope: minimum, typical, peak, ramp rate, and allowable diversity.

What changed in rack-scale AI

NVIDIA’s reference material for NVL72 systems describes a rack containing 72 GPUs, 18 compute trays, nine NVLink switch trays, and management switches. A later Vera Rubin NVL72 user guide lists four power shelves, each rated at 110 kW, for a total shelf rating of 440 kW before considering actual load, redundancy, and facility losses.

That is not a claim that every rack continuously consumes 440 kW. It illustrates a new design scale. A single rack can now be a large electrical load with liquid manifolds, a bus bar, high-speed networking, and maintenance procedures that look more like a small modular system than a traditional server cabinet.

A facility must plan the electrical path

Power density becomes a sequence of limits: utility service, substation, medium-voltage distribution, transformer, switchgear, remote power panels, busway, rack power shelves, and the server power supplies. The weakest link sets the usable density.

Redundancy complicates the picture. A rack may have two power paths, but that does not mean the site can use twice the connected capacity. The operator needs to know the failure case: can one path carry the rack, can generators pick up the load, and how much spare capacity remains after maintenance?

Power conversion also produces heat. A rack’s IT load is not the same as the utility draw. UPS losses, transformers, power shelves, pumps, and networking equipment add overhead. PUE can improve with better design, but the facility still has to size conductors and cooling for the real worst case.

Cooling sets the practical limit

Air cooling can work at moderate density with good containment and high supply airflow. At higher density, fans and air movers consume more energy, and the room becomes sensitive to layout and bypass airflow.

Liquid cooling moves the heat with a smaller physical path. Direct-to-chip cooling may handle the hottest components, while rear-door heat exchangers remove residual heat. The facility then needs coolant distribution units, pumps, heat exchangers, leak detection, and service isolation.

The best design is often mixed. A 2027 hall may contain low-density storage racks, 30 kW CPU racks, and 100 kW AI racks. The design should not force every rack into the most expensive cooling architecture, but it must prevent low-density assumptions from controlling the high-density row.

A reasonable planning framework for 2024-2027

For 2024, treat 10-to-30 kW racks as a mainstream planning range and higher-density AI deployments as specialized zones. For 2025, assume more 30-to-80 kW racks and require liquid-ready distribution in new AI rooms. For 2026 and 2027, plan rack-scale systems explicitly, including 100-kW-class electrical and cooling branches where the selected hardware requires them.

Those are planning bands, not universal forecasts. Hardware release schedules differ, and some systems are more efficient than others. The underlying point is that a site should not promise a density it cannot prove through a full-load test.

The commercial implication

Power density affects the value of a building. A site with 100 MW of utility service is not equivalent to a site that can safely deliver 100 MW to high-density AI racks. The second site has the distribution, cooling, commissioning, controls, and maintenance capability to turn connection into usable compute.

Investors and tenants should ask for rack-level test data, not just a campus megawatt number. The important evidence is energization, cooling performance, redundancy, and the number of racks that can run simultaneously.

A site plan should also include a density migration path. The first room may begin with 30-kW racks, then add 60-kW racks after the coolant loop and switchgear are upgraded. That sequence is more credible than claiming the whole building is AI-ready on day one. Commissioning should prove the highest-density row, the failure of one power path, the loss of one cooling component, and the restart of a synchronized workload. The result is a usable capacity number rather than a brochure number.

A data center is not a single asset with a single lifespan. It is a set of layers that wear out at different speeds. The concrete shell may serve for decades, the electrical and cooling systems for a shorter period and the servers inside for only a few years. Understanding those different clocks explains a lot about ongoing capital spending in the industry.

Three clocks running at once

Each layer of a data center follows its own timeline:

• The building and site, including foundations, structure and roof, can last for decades with maintenance
• Electrical and mechanical systems, such as generators, switchgear, chillers and cooling units, typically need major refurbishment or replacement on a shorter cycle
• Servers, storage, networking and accelerators are refreshed most often, because newer equipment offers better performance and efficiency

These timelines also explain why accounting depreciation schedules differ so widely across asset categories.

Refresh cycles

When servers are replaced, the old equipment is removed and new equipment is installed, often without major changes to the building. This refresh cycle is one of the main reasons a data center’s total spending over its life can far exceed its original construction cost.

Retired servers may be resold, redeployed for less demanding work or recycled. Data storage devices are typically wiped or physically destroyed to protect information, following established data sanitization practices.

Retrofits for new technology

Sometimes the building outlives the design it was built for. The rise of AI hardware, with much higher power density per rack, has pushed operators to consider retrofitting older facilities. Retrofits might include adding liquid cooling, upgrading electrical distribution, reinforcing floors or reconfiguring halls.

Retrofitting can be cheaper and faster than building new, especially where a site already has a valuable utility connection. But there are limits: an older building may lack the structural capacity, ceiling height or power to support the newest equipment.

Decommissioning

Eventually, a facility may reach the end of its useful life for its original purpose. Decommissioning involves removing equipment, safely handling materials such as batteries, fuels and refrigerants under applicable environmental rules, and either repurposing or demolishing the building. Some older data centers have been converted to other uses, and their sites may be redeveloped with new facilities that reuse the existing power connection.

Why the life cycle matters

The layered life cycle means data centers require continuous investment, not just a single construction bill. When companies discuss capital spending, part of it goes to new capacity and part to refreshing and upgrading what already exists. Keeping those two categories in mind helps make sense of why spending in this industry rarely stops, even when no new buildings are announced.

This article is general education about how the industry and financial reporting work. It is not investment advice and does not recommend buying or selling any security. For decisions about your own money, talk to a licensed financial advisor.

Going Deeper: Thirty Years in the Life of One Building

A hypothetical timeline shows how the three clocks overlap. The intervals below are illustrative; actual lifespans depend on design, maintenance, usage and how quickly technology changes.

• Year zero. The building opens with its first generation of servers, electrical gear and cooling plant.
• Early years. The first servers are replaced with newer models. The building and plant are unchanged. Batteries in the uninterruptible power systems may already be on their first replacement.
• Middle years. Several server generations have come and gone. Rising power density prompts a partial retrofit: new power distribution in some halls and liquid cooling loops added for dense racks.
• Later years. Major mechanical and electrical systems reach the end of their service lives and are replaced or overhauled. The owner weighs whether to modernize fully or redevelop.
• End of the original design life. The structure may still be sound. The site’s power connection, fiber and zoning may be its most valuable remaining features, supporting either a deep renovation or a new building on the same land.

Over that span, the building may host many generations of computing equipment. Cumulative spending on servers and upgrades can dwarf the cost of the original construction.

How the Clocks Show Up in Financial Statements

Depreciation schedules

Companies assign different useful lives to different asset categories. Buildings are typically depreciated over long periods, infrastructure over intermediate periods and servers over a few years. When a company changes its estimate of server useful life, depreciation expense shifts, sometimes noticeably, without any change in cash spent. Companies disclose such changes in their filings.

Maintenance versus growth spending

Replacing worn-out servers or generators keeps existing capacity running. Building new halls adds capacity. Some companies describe the split, though as noted elsewhere in BOSSTOX coverage, the line is rarely precise. Readers who track it over time can see whether a growing share of capex goes to simply standing still.

Impairments and write-offs

If equipment becomes obsolete faster than expected, or a facility can no longer support current technology economically, a company may write down its value. Such charges are a sign that one of the clocks ran faster than planned.

A Checklist for Reading Life-Cycle Signals

1. What useful lives does the company assign to buildings, infrastructure and servers?
2. Has it changed any of those estimates recently, and what was the effect on depreciation?
3. Does management discuss retrofit or refresh programs at older facilities?
4. Are there impairment charges related to equipment or facilities?
5. Does the company describe how it handles retired equipment, including resale or recycling?

Questions Readers Ask

Do faster AI chips shorten server life? They can shorten economic life, the period during which equipment is worth running compared with newer options, even if the hardware still works. Physical and economic lifespans are not the same thing.

What happens to old data center equipment? It may be redeployed to less demanding tasks, sold on secondary markets or recycled. Storage devices are typically sanitized or destroyed to protect data.

Who pays for refreshes in a leased facility? It depends on the arrangement. Tenants usually own and replace their own servers, while the landlord typically maintains the building’s electrical and cooling plant, recovering that cost through rent. Lease terms spell out the split.

Are older data centers less valuable? Not necessarily. A well-located older facility with strong power and network connections can remain valuable, especially if it can be retrofitted. Its worth often depends more on its site than its age. For decisions about your own money, consult a licensed financial professional.