77% of Workers Say AI Raised Workloads as Tech Staff Battle Slop and Burnout
Updated
Updated · Computerworld · Aug 4
77% of Workers Say AI Raised Workloads as Tech Staff Battle Slop and Burnout
2 articles · Updated · Computerworld · Aug 4
Summary
77% of employees in an Upwork study said AI increased their workload, even as tech workers use tools like Claude to offload routine tasks and focus on higher-value work.
88% of workers with the biggest productivity gains also reported burnout, while a 1,500-worker study labeled the strain “AI brain fry” from constant prompting, auditing and context switching.
Low-quality AI “slop” and hallucinations are adding risk, pushing workers to demand source citations, restrict models to trusted materials and review every output before code or content moves forward.
Job seekers face a parallel shift as AI filters resumes and reshapes roles, making metrics-based resumes, exact keyword matching and interview answers centered on judgment and verification more important.
Analysts said fears of mass AI layoffs still exceed the reality, but urged workers to treat automation as a tool, build less-automatable skills and deepen business knowledge to stay valuable.