AI changes push British STEM workers to quit, survey finds

Research from SThree found that 15% of British STEM workers had seen colleagues leave after artificial intelligence made their jobs unrecognisable. Almost half said their organisation had struggled to replace specialists who left.

The survey of 885 UK STEM employees, conducted by YouGov for the workforce consultancy, points to growing strain in science, engineering and technology roles as employers roll out AI tools across technical teams.

Staff departures linked to AI were not limited to one cause. About 14% of respondents said they had seen colleagues leave because of AI-related reductions in career progression, while 12% cited unsustainable workloads.

The findings suggest employers face a double challenge: managing role changes as AI spreads through workplaces while filling gaps in specialist positions that can take years of training and experience to develop.

More than a third of respondents, 37%, said their organisation was introducing technologies such as AI too quickly to fully consider the impact on people's roles. The survey also found that 29% believed senior employees were doing work previously handled by junior colleagues as AI reshaped entry-level jobs.

Retention pressure

The results suggest businesses may be losing workers not because AI is eliminating roles outright, but because it is changing the nature of their work to a degree some no longer want to stay. That could create longer-term recruitment pressure in sectors where specialist knowledge is already in short supply.

Rakesh Patel, UK Managing Director at SThree, said: "As industries change, employers must adapt in a way that uses AI where it genuinely belongs and enables workers to use their expertise in a fulfilling way. AI adoption in STEM industries has accelerated fast. STEM expertise, meanwhile, takes years to build. So when workers vote with their feet, businesses can be left with lasting skills gaps that can be costly. This presents a retention challenge for some employers - but strong opportunities for others, as the market of expert talent becomes more fluid with experienced specialists seeking out new roles. We're keeping a close eye on how these shifts are reshaping the STEM labour market, so we can help organisations identify the capabilities they need to protect, and where the best skills can be sourced next."

Changing roles

The findings add to a broader debate about how quickly companies should deploy AI in skilled professions. In STEM fields, where roles often depend on years of technical training, workflow changes can affect not only productivity but also progression routes, team structures, and the balance between junior and senior work.

The shift in entry-level work may be particularly significant for employers that rely on graduate and early-career recruitment to build future expertise. If junior tasks are reduced or reassigned, businesses could face knock-on effects for training pipelines and succession planning.

For employees, the issue seems as much about job quality as job security. The survey points to concerns about whether AI is being integrated in a way that supports existing specialists, preserves meaningful work and allows room for development.

For employers, the challenge is compounded by a difficult hiring environment. With 45% of respondents saying their organisation had struggled to replace departing specialists over the past year, staff losses tied to AI-related workplace change may deepen existing shortages in technical disciplines.

The survey covered employees across the UK working in STEM roles, offering a snapshot of sentiment at a time when organisations are under pressure to adopt AI while maintaining access to hard-to-find expertise. Concerns about speed, workload and career progression emerged alongside evidence that some workers are already choosing to leave.