Digital Economy Dispatch #282 -- It's Time to Make AI Work for Britain

For long stretches of 2025, I thought I’d made a mistake. I wasn't certain the book I was writing had a compelling argument.

The material was there. Drafts, notes, case studies, whitepapers, commissioned pieces for the Digital Policy Alliance and Digital Leaders Network, and a running conversation with senior leaders across government, finance, and industry about what AI was actually doing in their organisations rather than what it was supposed to be doing. All of it pointed somewhere. None of it pointed cleanly to a single book.

That changed over the course of early 2026. Not because I found the missing chapter or cracked the structural problem in a moment of inspiration. The change came from outside the manuscript. Four forces converged in the first months of this year, and between them they pulled what had been a collection of observations into a single, recognisable shape.

The technology got serious, fast

The first force was technical. Through late 2025 and into 2026, the frontier moved at a pace that made the earlier discussion of "AI readiness" feel like a hypothetical. Recursive self-improvement left the lab. Agentic systems stopped being a research curiosity and became a procurement question. By the time Anthropic publicly held back a model it judged too capable for public release, the conversation in boardrooms had shifted from whether to adopt AI to how fast AI tools could be acquired, and how to do it safely. A book written in the language of experimentation and pilots was suddenly speaking to a world where the technology was no longer the issue.

The geopolitics hardened

The second force was geopolitical. The launch of the Sovereign AI Fund, the £31 billion US–UK Tech Prosperity Deal, and the quiet scramble across European capitals to define national positions on compute, chips, and model sovereignty. What had been an abstract discussion about "British AI" a year earlier became a concrete conversation about supply chains, foreign dependencies, and the kinds of technological choices that countries cannot unmake. The argument I had been trying to make about institutional capability now had a harder frame around it. Sovereignty was no longer a rhetorical flourish. It was a policy agenda with budget lines.

The jobs conversation became real

The third force was economic. For most of the previous two years, discussion of AI and work had been dominated by speculative numbers: percentages of tasks automatable, sectors exposed, and futures imagined. By spring 2026 the conversation had narrowed. Specific roles were being reshaped or removed, specific firms were restructuring, and the financial impact on individual organisations had become measurable. By mid-April, roughly half of UK executives believed AI would reduce overall employment in Britain over the coming decade. That shift mattered for the book because it meant the argument I had been making about AI as an institutional question, not a technical one, stopped requiring defence. The evidence was arriving weekly.

The strategy-to-delivery gap started to bite

The fourth force was political and institutional. Through 2025, the UK had settled into a pattern of ambitious AI strategy announcements that were not matched by delivery capability. By early 2026, that gap had become the dominant story, whether in the Chancellor's "fastest AI adoption in the G7" pledge, the one-year review of the AI Opportunities Action Plan, or the various sectoral initiatives that promised transformation and delivered studies. This was the terrain I had been writing about all along. The difference was that by 2026 it was no longer a minority view. It was the question the sector was asking itself.

Why 2026 is special

When these four forces arrived together, the book's argument stopped being something I was trying to construct and became something I was trying to keep up with. The five reforms at the heart of Making AI Work for Britain (a smart-buyer function for the state, board-level accountability in organisations, a consolidated demand side coupled with a diversified supply side, clearer institutional ownership of AI outcomes, and a delivery-first rather than strategy-first operating model) did not come from a single moment of clarity. They came from watching what the technology, the geopolitics, the economics, and the politics were each, independently, pushing towards.

What did I get wrong along the way? More than one thing, but the honest answer is that I underestimated how quickly the conversation would shift from whether AI would matter institutionally to how it would. The book I completed is less about persuading readers that the institutional question is the central one, and more about giving them a working vocabulary for acting on it. That is a better book than the one I set out to write, and the reason it is a better book is that the conversation is finally ready to have it.

While there were times I had my doubts, I am now convinced that the convergence of these four forces is, in the end, good news for Britain. An institutional problem is a solvable problem. The UK has built institutional capability of exactly this kind before, most visibly with the Government Digital Service fifteen years ago, and the lessons from that work are not lost. The technology has raised the stakes. The geopolitics has sharpened the choices. The labour market has made the costs of delay concrete. The delivery gap is now an accepted fact rather than a contested claim.

Britain does not have to invent its way out of this. It has to organise its way out.

That is a far better starting position than the one the country had a year ago.

Making AI Work for Britain is published by London Publishing Partnership on Tuesday. Whatever its strengths and its flaws, it is a product of the moment it was written in, and I am grateful to the readers of these Dispatches for thinking it through alongside me.

The path to make AI work for Britain is in focus. The answer is within reach. Britain has the talent, the institutions, and now the clarity to make AI deliver for the country. It is time to get on with it.

Find more details of the book at FutureOfAI.uk. And let me know what you think.