Most UK workers feel overwhelmed by the pace of AI

TL;DR:

  • Henley Business School research finds 61% of UK workers feel overwhelmed by the speed of AI change, and only 11% feel confident.
  • Many use AI without guidance, fuelling “shadow AI” — and more than a third would consider leaving an employer that fails to support them.
  • The findings sit awkwardly against political demands for faster adoption.

There is a gap between the political push to adopt AI and how the workforce actually feels about it. Research from Henley Business School’s World of Work Institute finds most UK workers are struggling to keep pace: 61% feel overwhelmed, “cautious” is now the most common attitude, and nearly two-thirds of users sometimes decline to use AI tools even when available.

Enthusiasm at the top, fatigue below

The mismatch is stark. Sir Keir Starmer wants Britain to be an “AI superpower” and ministers warn democracies risk falling behind, yet only 11% of workers describe themselves as confident. More than four in ten worry about becoming over-dependent, and 35% fear losing critical-thinking skills. A City AM/Freshwater Strategy poll found two-thirds of voters have used tools like ChatGPT or Claude — rising above 80% among under-35s — but adoption has not bred confidence.

Crucially, 60% of workers have no AI guidance at work or are unsure if any exists. That vacuum is driving “shadow AI”: separate research from Soldo found 27% of employees bought AI tools without approval, while nearly half of finance leaders admitted governance gaps. It is the same diagnosis behind Resultsense’s coverage of confused AI rollouts that hurt UK firms — deployment running ahead of strategy.

Looking forward

Professor Keiichi Nakata’s framing is the useful one: “Employees are not rejecting AI” but are “struggling to keep pace with the speed of change and the lack of support around them.” With over a third willing to leave employers that skimp on AI training, the risk for businesses is not under-adoption but under-support. The findings strengthen the case — also made by the IPPR’s call to give workers more say — that clear guidance and genuine consultation, not faster mandates, are what turn AI investment into results.

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