A new line of research and commentary is warning leaders that AI can increase burnout rather than relieve it. One account cites an eight-month ethnographic study involving 200 employees in which AI usage intensified work, alongside analysis describing a “brain fry” effect—where using AI on top of existing tasks increases effort, errors, and poorer outcomes. The reporting frames the issue in cognitive terms: constrained working memory, limited intermediate-term memory, and costly task switching. It argues that leaders need operational guardrails so teams can benefit from AI’s speed without extending work into a higher-volume, higher-stress workflow. For higher education, the relevance is direct for teaching staff and instructional designers using AI tutoring, grading, and documentation tools—where faculty productivity gains can still produce downstream workload and quality risks.