Skip to content
ADVERTISEMENT

Two-thirds of workers nostalgic for pre-AI workplace, research finds

The Adaptavist survey of 2,500 professionals across the UK, US, Canada, Germany and Spain found that 65% regularly feel nostalgic for the pre-AI workplace.

Two-thirds of workers nostalgic for pre-AI workplace, research finds
ADVERTISEMENT

Nearly two-thirds of knowledge workers feel nostalgic for how work operated before generative artificial intelligence (AI), with more than a third saying they would remove the technology altogether, according to research from Adaptavist.

The survey of 2,500 professionals across the UK, US, Canada, Germany and Spain found that 65% regularly feel nostalgic for the pre-AI workplace, while 30% said they preferred how work operated before generative AI became widely used.

Overall, 38% said they would remove generative AI tools from the world if they had the chance.

The findings also suggested that many employees believe AI is creating additional work rather than improving productivity.

More than two in five (42%) said they spend longer verifying AI-generated content than the time they save using it, while 49% said poor-quality AI output is slowing down projects and 55% believe it is reducing overall team efficiency.

ADVERTISEMENT

Almost half (46%) said dealing with low-quality AI-generated content makes their work feel less meaningful and more repetitive, while 37% said it has made them less engaged at work.

The research found younger workers were more likely to want generative AI removed, with 40% of both Gen Z and Millennials saying they would get rid of the technology, compared with 32% of Gen X and 29% of Baby Boomers.

Despite these concerns, attitudes towards workplace AI remain broadly positive.

ADVERTISEMENT

Two-thirds (67%) said they would like their employer to increase its use of AI, 69% trust their organisation is using it ethically, and 66% said their employer has been transparent about its adoption.

However, more than a third (36%) said they do not understand why they are expected to use AI in their role, while the same proportion reported experiencing AI fatigue.

ADVERTISEMENT

Neal Riley, AI innovation lead at The Adaptavist Group, said: “These findings point to an underlying gap we see in most AI implementations. It is much easier for organisations to focus on adoption metrics – who is using AI, how often they are using it – than it is to measure its impact on the work itself.

ADVERTISEMENT

“By understanding the nature of the work and the different value streams across your business, you can more accurately measure outcomes and impact rather than simply counting actions.

“When AI is introduced thoughtfully, with the right guardrails and genuine support for the people using it, it can enhance rather than erode what makes work meaningful and impactful.”