6,000 Tech Workers Say AI Raises Workloads, Not Layoff Fears
Updated
Updated · ZDNet · Jul 20
6,000 Tech Workers Say AI Raises Workloads, Not Layoff Fears
3 articles · Updated · ZDNet · Jul 20
Summary
A survey of 6,000 tech professionals found their top AI fear is being pushed to deliver more for the same pay, not losing their jobs.
Burnout is rising and optimism is falling because AI-driven speed gains are being converted into higher output expectations—more prototypes, product documents and agents—rather than lighter workloads.
Half of respondents said AI makes them more capable and excited, while the other half said it is redefining or diminishing their roles; researchers also flagged “cognitive rot” from overtrusting AI output.
Managers and advisers cited a practical response: stop chasing every release, test tools on real work, and deliberately say no to products that erode judgment or core skills.
As we outsource our daily thinking to AI, are we risking permanent 'cognitive rot'?
AI promised to make work easier. Why is it causing record burnout instead?
By automating junior tasks with AI, are we creating a future leadership crisis?
The AI Productivity Paradox: How 2026’s Tech Sector Faces 46% Burnout and Intensified Workloads
Overview
In 2026, the tech sector’s adoption of AI has unexpectedly intensified workloads instead of reducing them. As companies use AI to speed up tasks, they fill the freed-up time with even more projects and responsibilities. This leads to employees spending much more time on routine tasks like emailing and messaging, with overall job responsibilities increasing by up to 346%. As a result, workers are forced to multitask more and have less time for deep, focused work. This shift has caused greater strain and a higher risk of burnout, highlighting a paradox where AI, meant to ease work, actually makes it more demanding.