Tag: AI

AI can help drive industrial renewal and close the north-south divide

For decades, governments of all political colours have wrestled with the same challenge: how do we create more balanced economic growth across the UK and overcome the north-south divide.

We’ve called it regional policy. We’ve called it levelling up. We’ve called it the industrial strategy. We’ve had the Northern Way, Regional Development Agencies, Local Enterprise Partnerships, National Renewal and of course the Northern Powerhouse.

Yet despite the progress in many places driven by direct policy intervention, the imbalance persists. The Institute for Fiscal Studies recently described the UK as one of the most spatially unequal countries in OECD.

As we head for a refreshed government which is expected to deepen its commitment to devolution and refresh its approach to industrial strategy, it is worth asking whether we’ve been looking for the answer in the wrong place.

Greater devolution will undoubtedly help regions shape their own futures. But beyond changes in governance, where can the UK create genuinely new competitive advantage that delivers lasting regional growth?

At first glance, AI might seem an unlikely answer. It is often presented as a digital revolution – a story about algorithms, software and innovation. But beneath the headlines, AI is also about something else: physical infrastructure.

The development and deployment of AI requires vast amounts of power, grid capacity, digital connectivity, land, investment, skills and capital. Any region that can provide those foundations could attract a disproportionate share of future investment, and that could have significant implications for the economic geography of the UK.

For much of the last thirty years, our country’s economic success has been driven by services, clustered in and around major cities, and detached from physical infrastructure, but the AI economy may be different.

Across places like the Humber, Teesside, Merseyside, we already possess many of these infrastructure assets. For years, these sites have been talked about as a problem to be solved through industrial transition and decarbonisation. But with AI so dependent on energy and industrial capability we could see them once again become the key drivers of UK growth.

In the Humber we have ports that connect us to global markets, industrial operators with deep engineering expertise, energy infrastructure that keeps the country powered, development land capable of supporting major investment and educational institutions training the workforce of tomorrow.

And for data centre developers repurposing existing infrastructure and working with operators who have a longstanding track-record of delivery reduces the need for lengthy planning and other regulatory processes.

So, could AI achieve something policymakers have been trying to deliver for decades, drive industrial renewal, deliver competitive advantage and grow the economy in Britian’s northern industrial regions?

The challenge for policymakers and regulators is to ensure we have an energy system fit for the future, to refocus on regional growth alongside national resilience, to consider the role of a decentralisation of the national electricity grid to enhance the role that regional assets play in local prosperity; ultimately ensuring that proximity to nationally important infrastructure  can support growth.

The prize could be significant: industrial renewal leading to a more balanced, more resilient, and more prosperous British economy, built on the foundations of what we already have, and delivered through a refreshed political agenda focused on regional growth.

Richard Gwilliam, Future of Drax Power Station Director: “The UK needs to think differently about its electrical infrastructure if it wants to be a leader in AI”

UK electricity demand is changing after years of stability

Drax’s Electric Insights recently published its quarterly report into the state of the electricity market. Amongst the plethora of useful information one metric stood out: electricity demand in the UK is starting to surge.

The report stated that demand in Q4 of last year reached 72.3 TWh over the quarter, up nearly 4% year-on-year. That might not sound much but, Covid rebound aside, that increase represents the fastest uptick in electricity demand since 2011.

From the mid-2000s until the early 2020s, GB’s total electricity demand fell steadily driven by gains in energy efficiency, deindustrialisation and an increase in behind the meter generation like rooftop solar, but it appears that trend is coming to an end.

The electrification of the UK’s economy has long been predicted and the reasons are of no surprise. Electric vehicles reached roughly 27% of new car registrations in 2025 and as the EV fleet grows, charging adds steadily to residential and overall electricity consumption.

Heat pumps too are scaling up – although still a small proportion of heating overall – the trend towards the electrification of heating is continuing and beginning to influence winter power demand profiles.

Finally, whilst some energy-intensive industry demand has grown, partly due to policy support and investment, the rapid increase in new data centres, particularly those serving AI and cloud computing, are emerging as rapidly growing demand centres, adding material loads on the grid.

Data Centres are likely to have a profound effect on the UK grid

Whilst demand for EVs and heat pumps are set to grow, it’s likely the demand for compute capacity will put the most pressure on the grid.

Such is the anticipated change that data centres are arguably no longer just customers of the grid, their scale means they are system actors. They can influence investment signals, dispatch patterns and ultimately the carbon intensity of the electricity system. That means we need to plan for them as part of the system, not bolt them on afterwards.

The processes that underpin new grid connections to meet demand were not designed for growth at the pace or scale that AI is moving. We are already seeing this emerge with:

  • long lead times for new grid capacity
  • constraints around transmission and distribution access
  • rising connection costs

This is important to UK growth, productivity and global competitiveness

The Government identifies AI as a key driver of future productivity growth across the economy: while the UK AI sector currently contributes around £12 billion in GVA, government-cited modelling suggests that widespread AI adoption could raise productivity, adding tens of billions of pounds a year to economic output. Delivering this growth is contingent on access to domestic compute capacity, with the UK Compute Roadmap indicating a need for a substantial expansion in AI-capable data centre capacity by 2030.

On the face of it, the ongoing electrification of our economy and slow adaptation of the grid appears to be a real stumbling block to meeting our AI ambition. But there are options that could see us simply adapt existing infrastructure and re-use what we already have in a more efficient way.

Existing energy infrastructure is a strategic advantage

One of the UK’s greatest, and most under-used asset is the infrastructure we already have.  Sites like Drax Power Station were built to handle very large amounts of power safely and reliably. They already have:

  • substantial grid connections;
  • transformers and electrical infrastructure sized for industrial-scale operations;
  • established sites with an energy and industrial planning context; and
  • experienced workforces and supply chains.

Repurposing and reusing this infrastructure is the fastest and most credible way to support large new electricity demand without waiting years for the system to catch up.

Re-use and re-purposing will keep the UK in the race for AI

At the end of last year, we unveiled proposals to submit a planning application for an initial <100MW data-centre development at Drax Power Station – an important step towards boosting AI capacity at the site. The project looks to re-use existing infrastructure and capacity, creating a practical and expedient way of meeting demand without waiting a decade for network reinforcement.

Not only that, but it could help pave the way for a >1GW data centre facility on the site before the end of the decade.

The Government is responding but more pace is needed

In December, the UK Government published the terms of reference for a review of AI deployment in the electricity networks. It is good to see that as part of that the Government will attempt to grapple with regulatory constraints and begin to consider AI deployment at a spatial level.

This is an acknowledgement that we need to challenge convention and think differently about this issue, unpick regulations that were devised for a different time and rethink how we maximise efficiency from existing assets. Time is of the essence; left unchecked we’ll likely end up falling behind in the global AI race and be left with an energy system with baked in inefficiencies.

The AI revolution is an energy story

It’s becoming increasingly clear that we’re now at the end of a decades long trend of decline and stability in electricity demand and arguably our systems are not ready to cope. The countries that succeed will not be those that build the most servers the fastest, but those that integrate compute into their power systems.

The UK already has much of the infrastructure it needs. The challenge now is to use it differently. At Drax Power Station, we are focused on how an existing site – which has kept the lights on around the UK for 50 years – can evolve to meet new demands supporting long term economic growth and prosperity for the UK.

Read the full Q4 2025 Electric Insights report here.