July 27, 2026
4 mins read

Open almost any report on AI adoption and you'll find the same organisations in it. Large enterprises with dedicated data science teams. Household names with the budget to run pilots across multiple departments at once. Companies whose "barrier to adoption" is choosing between three enterprise platforms, not whether they can justify the investment at all.
That's not a criticism of the research. It's just who tends to get surveyed. Big organisations are easier to reach, easier to benchmark and, frankly, more interesting to write case studies about.
But here's the problem. Those organisations aren't the UK economy. The businesses that make up most of it, established mid-market organisations with real teams, real infrastructure and real growth plans, but without a dedicated data science function or an enterprise procurement process, are navigating exactly the same pressures around AI and technology investment. They just don't have anywhere near the same information about what's normal, what works, or what everyone else in their position is actually doing.
That's the gap we're running independent research to close. It's called The State of AI in UK Business 2026, and you can take the survey here. It takes a few minutes, and everyone who takes part gets free access to the anonymised findings when the report is published.
It would be easy to assume the answer is simply "more AI research." It isn't. There's no shortage of AI adoption surveys published every month. The gap isn't volume. It's who's in the room when the questions get asked.
When research skews enterprise, the conclusions skew enterprise too. Recommendations assume a data team that reviews model outputs. They assume a procurement function built for six and seven figure enterprise contracts. They assume a board structure where AI strategy sits with a Chief Data Officer. None of that reflects how decisions actually get made in a growing mid-market business, one with an established leadership team, a genuine operational backbone, and real commercial pressure to get technology investment right, but without the enterprise scaffolding that most AI research assumes is already in place.
These organisations aren't short of ambition or sophistication. They're short of a mirror. Somewhere that shows them how organisations that actually look like theirs are approaching AI and technology investment, not how enterprises many times their size are.
The State of AI in UK Business 2026 is built around three questions that, as far as we can tell, nobody's answering well for this part of the market.
What's actually driving the decision to invest in AI and technology, beyond the pressure to be seen to be doing something. Where the real barriers sit, not the ones that make a good conference talk, but the ones that genuinely stall a project after the initial pilot. And what UK businesses realistically expect their technology and AI investment to look like over the next 12 to 18 months.
None of these are new questions. What's missing is an honest answer to them from the businesses that don't usually get asked.
Research like this has one obvious weakness. It's only as useful as the people who take part in it. A report built from twenty responses tells you very little. A report built from a genuine cross-section of UK organisations, at different stages of AI maturity, across different sectors, making different calls about where to invest, tells you something real.
That's the bar we're aiming for. Not a polished set of enterprise case studies dressed up as a market overview, but an honest, anonymised picture of what's actually happening, drawn from the businesses actually living it.
We're not asking anyone to hand over information for nothing in return. We're going to publish the anonymised findings in a report readily available for anyone to download from our website. No individual response is ever identifiable. The value is in the aggregate picture, and that picture is only worth publishing if enough businesses are honest enough to contribute to it. The survey itself takes a few minutes. That's a deliberate choice. We'd rather have a large, representative set of honest answers than a smaller set of exhaustive ones.
The businesses that make up most of the UK economy deserve research that actually reflects their reality, not a footnote in a report built around enterprise assumptions. That's what we're trying to build with The State of AI in UK Business 2026, and it only works if the businesses this is actually for are the ones who show up in it.
If that's you, we'd genuinely value your input.