What’s the right future AI path for Britain?

The UK doesn't need to out-spend the US or out-scale China. It needs to play a different game — and it has more of the pieces than it realises.

In the first two parts of this series, I raised a question — who is shaping Britain's AI future? — and then looked at where UK organisations actually stand: real momentum, but shallow adoption, persistent skills gaps, and a troubling disconnect between what leaders think is happening and what their teams experience on the ground. In this final piece, I want to offer some thoughts on what a distinctively British path forward might look like.

Because I think the UK has one. Unfortunately, it hasn't been clearly articulated yet.

Stop trying to win the wrong race

Much of the public conversation about AI positions countries in a competitive race, with the US and China in the lead and everyone else scrambling to keep up. It's an understandable framing, but for the UK it's a misleading one. It is highly unlikely that Britain will build a domestic hyperscaler to rival AWS or Azure. It is not going to out-invest the US on foundation model research. It would be folly to try.

What Britain can do — and what I argue in the book it should do — is become the world's most sophisticated adopter and integrator of AI. That's a different kind of strength, but it's a real one. It means being exceptionally good at understanding what AI can do, choosing wisely between competing platforms and approaches, building the organisational capability to turn experiments into operational reality, and doing all of this within a regulatory and governance framework that other countries will want to learn from and adopt.

I call this the UK's "adaptive path". It is not a weak compromise, but an aggressive, focused strategy applying adaptability intelligently as a competitive advantage.

Consolidate demand, diversify supply

When the Government Digital Service was established a decade ago, one of its most powerful insights was deceptively simple: if the public sector consolidated its buying power, it could negotiate better deals and set higher standards; and if it diversified its supply base, it could avoid the kind of vendor dependency that had plagued government IT for a generation.

That principle applies directly to AI. Organisations that approach AI procurement individually will almost always default to the incumbent platform. Organisations that consolidate their requirements, whether within a sector, across government, or through industry alliances, can engage with the market on much stronger terms. They can demand interoperability. They can insist on data portability. They can create space for smaller, specialist providers alongside the hyperscalers. None of this requires rejecting the major platforms. It simply requires engaging with them as an informed buyer rather than a captive customer.

Build the leadership layer

What is needed to achieve this? The most important investment Britain can make in AI is not in compute or infrastructure. It's in leadership capability. The evidence from Part 2 of this series was clear: the biggest barrier to AI adoption isn't technology but the gap between what leaders think they understand about AI and what effective AI leadership requires.

This isn't about turning every CEO into a data scientist. It's about building a generation of leaders who are literate enough in AI to ask the right questions: What problem are we solving? What are we locking ourselves into? What does success look like beyond the demo? Where do we need to build internal capability, and where is it safe to rely on partners? These are strategic questions, not technical ones — but they require a level of AI understanding that many senior leaders don't yet have.

The good news is that this is a solvable problem. The UK has a strong professional development infrastructure, a university sector already developing AI leadership programmes, and a government that has begun investing in AI skills at multiple levels. What's needed now is to connect these efforts into a coherent national approach to AI leadership readiness — not just technical training for specialists, but strategic literacy for the people making the decisions.

From experiment to operating model

Finally, and perhaps most practically: the UK needs to get much better at the hard, unglamorous work of moving AI from pilot to production. This means investing in data readiness — not as a one-off clean-up exercise, but as a continuing organisational capability. It means building governance frameworks that enable responsible scaling rather than blocking it. And it means treating AI adoption as organisational change, not a technology project — with all the attention to people, processes, and culture that implies.

The organisations I've studied that have broken through pilot purgatory share a common trait: they didn't just invest in AI tools, they invested in the capacity to operate them. They built the internal skills, the data pipelines, the governance structures, and the leadership engagement needed to move from "interesting experiment" to "this is how we work now." That transition is where the real value of AI is created — and it's where Britain, with its deep experience of large-scale organisational transformation, has a genuine edge.

These three pieces have tried to do what the book does at greater length: raise the right questions, look honestly at the evidence, and offer a practical path forward. Britain's AI future is not predetermined. It will be shaped by the choices that leaders in government, business, and the third sector make over the next few years. My hope is that those choices will be informed, deliberate, and distinctively British — drawing on this country's genuine strengths rather than chasing someone else's model.

If any of this resonates — or if you disagree — I'd welcome the conversation. That's ultimately what the book is for.

Alan Brown is Professor of Digital Economy at the University of Exeter Business School and Research Director at the Digital Policy Alliance. His new book Making AI Work for Britain is published by London Publishing Partnership (April 2026). Follow Alan on LinkedIn and find out more at alanbrown.net.