Britain has pulled ahead of its peers on artificial intelligence, but not in the way ministers would like to advertise. Research from Morgan Stanley, drawn from its AlphaWise survey of employers, finds that UK firms are shedding more roles in response to AI than companies in any other major developed economy. It is an uncomfortable distinction for a government that has staked much of its growth pitch on becoming an AI superpower.
Twice the global rate
The bank's most recent reading puts UK net AI linked job losses at around 6 percent over a twelve month period, above the roughly 5 percent average across all the countries surveyed, after an earlier estimate that ran as high as 8 percent and twice the international average. Either way, Britain reported the largest proportion of AI related job losses in a cohort that included German, American, Japanese and Australian firms. The pattern is consistent rather than a one off blip.
Productivity up, headcount down
What separates Britain is not whether AI works but how employers respond to it. UK companies reported a clear productivity boost after adopting the technology, yet chose to cut staff rather than redeploy them. That contrasts sharply with the United States, where firms reported similar productivity gains but, on balance, created more jobs than they eliminated. Morgan Stanley estimates that AI prompted British employers to cut or hold off filling roughly a quarter of their roles.
The early career squeeze
The cuts are not landing evenly. The most exposed workers are those with less than a decade of experience, and British employers singled out early career positions requiring two to five years of experience as the most likely to be eliminated or quietly left unfilled. That dovetails with the wider squeeze on graduate and junior hiring across the UK, where replacement hiring for entry level roles has slowed even as senior recruitment continues.
Why Britain specifically remains an open question. The country combines an unusually high rate of AI adoption in its services heavy economy with a flexible labour market that makes shedding roles comparatively easy. Whatever the cause, the policy implication is sharp: the productivity dividend from AI is real, but in Britain it is being banked as lower headcount rather than reinvested in new work, and the people paying for it are at the start of their careers.
