AI Overreliance Risks Skill Loss and Declining Model Quality, Researchers Warn

Experts and researchers are raising concerns that heavy reliance on AI tools is causing skilled workers to lose their expertise over time. As users depend more on AI-generated outputs, institutional knowledge is gradually eroding rather than being preserved. This degraded human knowledge then feeds back into AI models as training input, a phenomenon researchers call 'knowledge collapse.' The cycle results in progressively worse model outputs as the quality of human-generated input declines. Multiple studies and papers, including research on semantic entropy and AI's impact on human cognition, are highlighting this feedback loop as a growing risk.