Adoption dashboards can look green while the people using GenAI feel worse about the work. Adaptavist’s new survey puts numbers on that gap, and talent teams should stop treating seat counts as success.
In Understanding the human cost of AI transformation, Adaptavist surveyed 2,500 knowledge workers in the UK, U.S., Canada, Germany, and Spain (fielded March 2026). It is vendor-commissioned research. Read it as a strong directional signal, not a census.
Headline regret:
65% regularly feel nostalgic for how work operated before generative AI
38% would remove GenAI tools from the world if they could
Younger workers lean harder that way: 40% of Gen Z and millennial respondents would remove GenAI, vs 32% Gen X and 29% Boomers
Among those who would remove AI: 31% cite lost creativity, 29% misuse, 28% surveillance and privacy
Nearly half say dealing with low-quality “AI slop” makes the job feel more repetitive and less meaningful; 37% feel less engaged overall
The verification tax is the recruiting story
Adaptavist names a verification tax: 42% of workers say they now spend more time checking and correcting AI output than they save by using it. 49% say poor-quality AI work slows their projects. 55% say it drags down team efficiency. 52% regularly correct AI-generated work from colleagues.
Half say their performance is being measured, fairly or not, against AI-generated output. About a quarter say they use AI mainly to keep up with workload or match colleagues, not because it makes the work better.
That is how “AI literacy” on a job description turns into burnout in the first 90 days. You hired for judgment. The system rewards volume of prompts and then taxes the human who cleans up the slop.
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.
