AI fears push US knowledge workers toward career exits

New Adaptavist research finds nearly half of US knowledge workers are considering changing industries because of AI, with millennials most likely to think about leaving white-collar roles. The findings point to a growing business risk if employers do not pair AI adoption with training and support.

Why it matters: - Adaptavist’s research points to a potential white-collar talent drain in the US as AI anxiety pushes knowledge workers to consider leaving their fields. - The shift could hit mid-level and senior roles, not just entry-level jobs, and that raises risks for continuity, leadership and future growth. - Employers may lose engagement, expertise and retention if AI adoption outpaces training and support.

What happened: - Adaptavist surveyed 500 US knowledge workers and found 46% are actively looking to change industries because of fear of AI. - 30% of US respondents said they are considering moving into an industry less exposed to AI, including manual work. - The US ranked highest among the nations surveyed and sat above the global average of 33%. - Millennials were the most affected group in the US, with 53% of workers aged 30-45 contemplating a career change because of AI-related anxiety.

The details: - 58% of US workers are concerned AI will reduce the need for their role within five years. - 44% worry AI will make their current role obsolete. - 49% said they are frustrated that tasks once requiring years of specialist expertise can now be done by almost anyone using AI tools. - 17% said their personal expertise feels less valued by their organization since widespread AI adoption. - 46% of US employees said they are struggling to keep up with the pace of change. - 54% said they feel overwhelmed by constant AI news and updates. - 46% said they are actively reducing their use of AI tools because of AI fatigue. - 84% said they are actively learning new skills to stay relevant. - 44% said AI has made them think about retiring earlier than planned. - 13% plan to retire within the next 24 months. - 43% reported lower engagement, and a quarter said they are considering leaving their roles. - The research surveyed 2,500 knowledge workers across the UK, US, Canada, Spain and Germany in March 2026. - Attest conducted the research.

Between the lines: - The findings suggest AI is creating a management problem as much as a technology problem. - When workers see AI as eroding expertise or status, adoption can trigger resistance, fatigue and exit risk. - Adaptavist’s earlier research indicates AI can improve job satisfaction when companies provide proper training and support. - Neal Riley, Innovation Lead at The Adaptavist Group, said leaders can no longer ignore the human impact of AI adoption and that thoughtful, transparent implementation can strengthen roles instead of replacing them.

What's next: - Companies are likely to face more pressure to explain where AI fits in the workplace and how human skills will remain valuable. - Adaptavist says the key next step is giving employees training, context and support so they can adapt without losing confidence in their roles. - The broader test for employers will be whether AI improves productivity without accelerating burnout or turnover.

The bottom line: - AI adoption is no longer just about automation gains. For many US knowledge workers, it is becoming a reason to rethink whether white-collar careers still feel worth staying in.