Tony Jefferson, Director of New Markets and Enterprise Development at Enspec Power warns that the UK risks losing AI investment race without major energy infrastructure reform.
The UK’s ability to attract AI investment and maintain long-term digital competitiveness will depend on how quickly it can modernise its energy infrastructure, he states.
Jefferson said the debate around data centre expansion must now move beyond simply securing additional grid capacity and focus instead on building resilient infrastructure capable of supporting increasingly complex and dynamic power demands.
“The conversation can no longer be limited to where new electrical loads can connect,” he said. “The more important question is how we build sovereign digital infrastructure capable of remaining operationally resilient within an increasingly dynamic and constrained power system.”
Demand for data centre capacity continues to accelerate as governments and businesses invest heavily in artificial intelligence, cloud computing and digital services. However, Enspec Power, based in St. Helens, Merseyside, believe the greatest pressures are emerging in regions where grid access, transmission infrastructure and fibre connectivity converge, particularly around London, the South East, the M4 corridor and parts of the North West.
While capacity constraints remain a concern, he argues that system operability is becoming the more significant challenge.
Large AI-driven facilities introduce highly dynamic electrical demand profiles that can affect system strength, voltage stability, harmonic performance, reactive power management and local transmission resilience. At the same time, networks are accommodating growing volumes of renewable generation, battery energy storage systems (BESS) and wider electrification programmes.
“The UK is facing a convergence challenge where multiple fast-moving technologies are competing for infrastructure that was originally designed around far more predictable demand behaviour,” Mr Jefferson said.
He believes this challenge is becoming increasingly strategic as nations seek to strengthen AI capability, digital resilience and technological sovereignty.
“As nations seek greater strategic independence in AI and digital infrastructure, sovereign AI capability will become increasingly dependent on sovereign energy resilience,” he said. “Data centres are no longer simply commercial developments or large electrical loads; they are becoming critical national infrastructure assets.”
According to Mr Jefferson, future AI facilities must be designed as active participants in the power system rather than passive consumers of electricity. This will require greater integration of battery storage, flexible demand management, advanced reactive power support, harmonic mitigation technologies, grid-forming capabilities and dynamic operational controls.
He also warned that infrastructure adaptability is becoming just as important as installed capacity, particularly as grid conditions can change significantly between a project’s initial connection application and final energisation.
Renewable energy and battery storage will play a central role in enabling the next phase of AI growth, not only from a sustainability perspective but also as critical tools for improving system resilience and operational flexibility.
“AI demand growth is arriving alongside rapid renewable deployment, reduced synchronous generation, falling system inertia and increasing network complexity,” Mr Jefferson said. “Battery storage will play a critical role in managing demand volatility, supporting local network stability, providing fast frequency response, improving renewable utilisation and reducing curtailment risk.”
Mr Jefferson believes the challenge facing policymakers, network operators and developers has evolved beyond generation adequacy and into a broader power systems integration issue.
While welcoming ongoing grid connection reforms, he argues that traditional infrastructure planning, procurement and reinforcement processes are still struggling to keep pace with the speed of technological change.
“Delivery risk has moved downstream,” he said. “Many of the most significant technical and commercial risks are now emerging during concept and detailed electrical design rather than during the initial planning phase.”
As AI adoption accelerates, successful projects will increasingly depend on flexible and adaptive electrical infrastructure strategies developed from the earliest stages of project conception, he added.
Without faster investment in smarter, more resilient energy infrastructure, Mr Jefferson warns the UK could lose ground in the global competition for AI investment, hyperscale deployment and digital industrial growth.
“Countries capable of delivering resilient, flexible and scalable electrical infrastructure will increasingly become the preferred destinations for AI investment, hyperscale deployment and long-term digital industrial growth,” he said.
“If the UK cannot modernise infrastructure delivery quickly enough, the consequences could include delayed AI investment, rising project costs, slower renewable integration, reduced industrial electrification capability and ultimately a loss of global digital competitiveness.”
Mr Jefferson concluded: “The future of AI is no longer just a technology challenge. It is an infrastructure challenge, an energy challenge and increasingly a strategic national resilience challenge.”
