UK datacentres: jobs shortfall and energy demands reshape tech’s future
A new analysis reveals UK datacentres will create just 25% of promised jobs, while AI and fusion startups push innovation forward—reshaping the sector’s economic and environmental impact.
The UK’s technology sector is facing a reckoning over its economic promises and environmental footprint, as new research challenges long-held assumptions about datacentres’ role in job creation. Meanwhile, breakthroughs in fusion power and debates over AI’s place in classrooms are pushing innovation in unexpected directions—raising questions about what the future of tech should prioritise.
Datacentres: the jobs gap that exposes tech’s overpromises
The UK’s datacentre boom was sold as an economic lifeline—a sector that would generate tens of thousands of jobs while powering the digital economy. But a new analysis by the environmental thinktank Verdant suggests those projections were wildly optimistic. The group estimates that all planned datacentres in the UK will directly employ just 10,400 workers, a quarter of the 40,000 jobs promised by industry lobby group TechUK.
The discrepancy is stark. TechUK’s figures, often cited in government and investor materials, included indirect employment—everything from construction workers to café staff near datacentre sites. Verdant’s analysis, however, focuses solely on permanent, operational roles, arguing that the sector’s true economic impact has been inflated. "Datacentres are energy-intensive facilities, not job factories," the report states. "The UK risks betting its economic future on a sector that delivers far less than advertised."
The findings come at a sensitive moment. The UK government has positioned datacentres as a cornerstone of its post-Brexit economic strategy, offering tax incentives and fast-tracked planning approvals. But with energy consumption set to soar—datacentres already account for 1.5% of the UK’s electricity use, a figure expected to rise sharply—critics are questioning whether the trade-off is worth it. Local opposition has grown in areas like West London, where residents blame datacentres for driving up energy prices and straining the grid.
For the tech industry, the report is a wake-up call. "If datacentres can’t deliver on jobs, what can they deliver?" asks a senior executive at a major cloud provider, speaking on condition of anonymity. "The sector needs to rethink its pitch—or risk losing public support."
AI in classrooms: the battle over tech’s role in education
While datacentres face scrutiny over their economic impact, another debate is unfolding in schools: should artificial intelligence be embraced as an educational tool, or resisted as a threat to traditional learning?
Daniel Susskind’s new book, What Should My Children Do?, argues for the former. The Oxford economist and former government adviser makes a provocative case: rather than fearing AI, educators should see it as an opportunity to rethink how children learn. "The calculator didn’t destroy maths—it freed students to focus on deeper problem-solving," Susskind writes. "AI could do the same for writing, research, and critical thinking."
His argument arrives as schools grapple with how to integrate AI tools like chatbots and automated tutors. Some teachers report success using AI to personalise lesson plans or provide instant feedback on essays. But others warn of risks: over-reliance on technology, the erosion of foundational skills, and the potential for AI to amplify inequalities if access is uneven.
The UK’s Department for Education has yet to issue formal guidance on AI in classrooms, leaving schools to navigate the issue alone. "We’re in a period of experimentation—and anxiety," says a headteacher in Manchester. "Parents want their children to be tech-savvy, but they also worry about screen time and the loss of human interaction."
Susskind’s book doesn’t shy away from the challenges. He acknowledges that AI could widen the gap between well-resourced schools and those struggling with funding. But he insists the solution isn’t to ban the technology—it’s to ensure every student has access to it. "The question isn’t whether AI will change education," he writes. "It’s whether we’ll be smart enough to shape that change."
Fusion power: the quiet revolution in UK energy innovation
Amid the debates over datacentres and AI, a quieter revolution is taking place in the UK’s energy sector. Startups founded by former Google DeepMind researchers are racing to make fusion power—a long-promised but elusive clean energy source—a reality.
Fusionality, one such company, is developing control systems and simulation tools to help fusion startups accelerate their experiments. The goal? To bring fusion power to the grid within the next decade. "We’re not trying to build a reactor ourselves," says Fusionality’s CEO, a former DeepMind engineer. "We’re building the tools that will let others do it faster."
The UK has emerged as a hub for fusion innovation, thanks in part to government funding and a growing ecosystem of private investors. Earlier this year, the UK Atomic Energy Authority announced plans for a new fusion research facility in Oxfordshire, while companies like Tokamak Energy and First Light Fusion continue to attract venture capital.
But challenges remain. Fusion power has been "just 20 years away" for decades, and sceptics warn that the technology is still unproven at scale. Even optimists acknowledge that fusion won’t solve the climate crisis in time—renewables like wind and solar will need to do the heavy lifting in the short term.
Still, the progress is real. Fusionality’s tools are already being used by startups in the US and Europe, and the company’s founders believe the UK is poised to lead the next phase of the fusion race. "This isn’t about replacing renewables," says the CEO. "It’s about giving the world another tool to decarbonise—and doing it faster than anyone thought possible."
What it all means: tech’s moment of reckoning
The UK’s innovation landscape is at a crossroads. Datacentres, once seen as an economic silver bullet, are facing scrutiny over their job creation and energy demands. AI’s role in education is sparking fierce debate, with no clear consensus on how—or whether—to integrate it into classrooms. And fusion power, long dismissed as a pipe dream, is inching closer to reality.
What ties these stories together is a fundamental question: What should innovation prioritise? Jobs? Energy efficiency? Educational equity? The answers aren’t straightforward, but the stakes are high. The UK’s ability to navigate these tensions will shape not just its tech sector, but its economic and environmental future.
For now, one thing is clear: the era of unquestioned tech optimism is over. The next phase of innovation won’t be about growth at any cost—it’ll be about proving that progress can be both transformative and responsible.