A Review of the Adverse Impacts of Excessive Artificial Intelligence Use in Daily and Professional Life

Artificial intelligence (AI) tools are now widely used in day-to-day work such as writing, coding, reporting, research, decision-making, video editing, presentation, meeting arrangement, emailing, and many other personal and workplace operations, offering measurable gains in speed and convenience. However, a rapidly growing body of empirical, survey-based, and neurophysiological evidence indicates that habitual, low-effort delegation of cognitive and occupational tasks to AI carries high costs. This review synthesizes recent literature on the adverse consequences of AI overuse across four domains: cognitive decline and skill atrophy; psychosocial and mental-health strain; occupational disruption; and privacy, security, and ethical over-trust. Drawing on survey data, randomized controlled trials, and neural-monitoring studies, we describe a reinforcing “cognitive-offloading loop” in which fluent AI assistance reduces the practice needed to sustain independent skill, and we summarize labor-market and mental-health indicators showing rising AI-related anxiety. We conclude that the harms of AI overuse are not intrinsic to the technology but emerge from unregulated, unreflective patterns of use, and we propose research and policy directions for balanced human–AI collaboration.

Keywords:Artificial intelligence; Cognitive offloading; Overreliance; Digital wellbeing; Workplace automation; Human–AI interaction