AI anxiety is driving skilled workers to quit
When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.
Across the UK, "will AI take my job?" has become one of the nation's most searched fears, a concern echoed in a recent open letter signed by more than 200 economists and technology leaders, including former Google CEO Eric Schmidt.
The letter warned that without the right guardrails, increasingly powerful AI could drive large-scale job displacement.
This anxiety around job stability has, unsurprisingly, increased in line with some of the world's largest employers – including Microsoft and Meta – announcing cuts to thousands of roles over the last year.
Left to interpret what that means for their own futures, employees globally have become accustomed to fear and uncertainty.
AI Innovation Lead, The Adaptavist Group.
The impact is far-reaching, with recent research indicating that widespread anxiety is now impacting career decisions. In fact, as many as one in three workers say they are planning to retire earlier than planned, while 25% of workers are considering moving into industries less exposed to AI.
Although concerning, this potential “white-collar exodus” isn't a rejection of AI itself; most workers say the technology makes them productive when introduced with proper training and clear goals. However, it’s a response to how AI is being rolled out: often with little clarity, minimal support and not enough acknowledgement of the potential impact on employees’ confidence in their own expertise.
Left unaddressed, the impact will be felt in retention, engagement and institutional knowledge. Designing and prioritizing ways of working that incorporate transparency and training, while prioritizing job satisfaction and performance, has become a board-level priority.
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
Many workers feel that AI could reduce the need for their role within a few years, and that fear is not misplaced. Finance, professional services, and IT jobs have already felt this pressure, with PwC cutting 200 entry-level roles this year.
But we must not fall into the trap of reading this as solely a graduate or entry-level problem. In reality, according to a Gartner survey of C-level executives, 56% are extremely likely to quit due to the impact of AI and burnout. This is in some ways more harmful, presenting a clear risk of knowledge attrition across organizations as expertise born of human experience is lost.
Job security writes only the first chapter. Knowledge workers are increasingly frustrated that AI allows tasks once requiring years of expertise to be completed by almost anyone. The concern is about whether experience, judgement and specialist knowledge still carry value. And when organizations fail to redefine what human expertise contributes, disengagement festers.
Compounding this is the growing issue of AI fatigue. More than half of all content online is now AI-generated. So workers clocking off from AI at work are simply wading into more of the same at home, extending far beyond the 9-5 that businesses can measure or manage. Harvard Business Review has linked AI fatigue to decision fatigue, errors, and higher intent to quit.
