The Alan Turing Institute reviews

There is a painful gap between what the Turing preaches and how it actually functions day to day. Internal operations feel closer to 2005 than 2025: manual spreadsheets, siloed departments, and no clear ownership of basic processes. Its CEO admitted at a town hall that there is no operational map of the organisation. When something needs doing, no one can reliably say whose job it is. The ERP implementation has been a slow motion disaster. Three years, three project managers, and millions of pounds later, the system cannot produce a single usable report. The Finance leadership pushed the transition through, and the result has been near-total institutional blindness on the numbers side. Senior leaders appear disconnected from the day-to-day reality of the organisation they're running. Decisions are made without a clear understanding of operational dependencies, and when things go wrong, the response is more messaging than action. The admission that leadership couldn't identify basic organisational responsibilities wasn't treated as a crisis, it was delivered as though it were a curiosity. That tells you everything. Expect a lot of confident sounding language that doesn't translate into anything concrete. The "match fit" messaging from the Chair doesn't match the reality on the ground. There's a noticeable culture of fear, little genuine strategic vision, and a restructuring that saw experienced, innovative staff replaced by expensive yes men who reinforce the same blind spots already present at the top rather than challenge them. If you're joining for the research, you won't be disappointed. If you're hoping the organisation that advises the nation on AI can manage its own operations — or that its leaders have a firm grasp of what's actually happening inside the building — lower your expectations significantly. The irony of the UK's data science flagship being unable to run a basic report, led by people who don't seem to notice, is not lost on anyone who works here.