
The Botsitting Burden: Why AI is Creating More Work and Higher Turnover
Workers are losing nearly a full day every week to the tedious task of supervising AI, leading to burnout and a high risk of employee turnover.
Mental health, burnout, cognitive overload, work-life balance, and the human impact of workplace practices and technologies.

Workers are losing nearly a full day every week to the tedious task of supervising AI, leading to burnout and a high risk of employee turnover.

AI is creating a supervision tax that forces senior engineers to process machine-speed output at biological-speed capacity, leading to systemic burnout and a collapse in software quality.
The Rust project is weighing the productivity benefits of AI against the significant ethical concerns and the growing burden of low-quality automated contributions on its maintainers.
AI accelerates tasks but inflates workload and cognitive strain, so leaders need explicit norms—an “AI practice”—to make its benefits sustainable.

An open-source macOS app that uses your camera to detect slouching and gently enforce better posture by blurring the screen.
Seattle’s big tech has turned AI into a demoralizing mandate, breeding cynicism and stalling innovation, while places like San Francisco still believe and build.
Work in a way that fiercely protects limited cognitive bandwidth: minimize inputs, single-thread, use AI, and prioritize health over performance.
AI’s always-on capability is driving a culture of self-imposed overwork, making rest a necessary act of resistance.

In a shaken tech landscape, lead with public alignment, private honesty, and small acts of humane flexibility to preserve trust and stability.