Tech leaders claim AI means less work, but staff report 90-hour weeks

Despite assurances from tech leaders that artificial intelligence will streamline operations and reduce employee workloads, a significant disparity is emerging as many tech staff report working exceptionally long hours, often up to 90 hours per week. This contrast challenges the narrative that AI inherently leads to a more balanced work-life, with reports from companies like OpenAI and Meta indicating intense "sprints" and expanded responsibilities for their teams.

Research, including studies from UC Berkeley and the Harvard Business Review, suggests that instead of freeing up time, AI tools are actually intensifying work. Employees using AI tend to work at a faster pace, take on a broader range of tasks, and extend their working hours, even without explicit directives to do so. This phenomenon is partly attributed to the need to "botsit"—a term describing the extensive effort required to check and correct AI-generated content, adding to existing duties rather than replacing them.

This increase in workload and cognitive fatigue points to a potential downside of AI integration, where the promise of efficiency gains is absorbed by new demands and the management of AI outputs. The discrepancy raises critical questions about how AI is currently being implemented and its actual impact on employee well-being and productivity in the tech industry.