AI promises shorter workweeks, yet profit‑driven tech cultures keep employees on 90‑hour schedules worldwide
Original framing: “Tech leaders say AI means less work - their staff say they work up to 90 hours a week” — BBC News - Technology
Empirical studies show that AI‑driven automation can cut task time by 20‑30 % in software development, yet without redistribution of saved time, organizations tend to increase output expectations, leading to higher cumulative work hours. Measurement of algorithmic workload, physiological stress markers, and productivity curves provides a data‑driven basis for regulating overtime. Robust scientific monitoring is essential to verify whether AI delivers its promised leisure benefits.
AI’s capacity to compress tasks is real, but without structural safeguards it fuels a new era of overwork that mirrors historic productivity revolutions.
Indigenous temporal ethics, cross‑cultural labor norms, and marginalized worker testimonies reveal that technology alone cannot dictate leisure; policy, collective ownership, and transparent reporting must re‑balance power. By integrating scientific monitoring with artistic critique and trickster insight, societies can chart a future where AI reduces, rather than expands, the human work burden, guided by historically grounded, culturally diverse, and equity‑focused frameworks.