AI promising short weeks, but workers face burnout

AI companies like OpenAI and Anthropic are publicly advocating for shorter workweeks due to AI-driven productivity. However, reports from former employees paint a different picture, detailing grueling 90-hour workweeks and persistent Silicon Valley grindset culture. This intense schedule is partly attributed to the competitive AI arms race, necessitating constant innovation and rapid product releases through extended code sprints.

Even outside of critical development periods, employees at OpenAI have reported standard workweeks of 50 to 60 hours. Executives often champion long working hours as essential for achieving ambitious goals, with figures like OpenAI President Greg Brockman documenting extensive workweeks. This perspective challenges the notion that AI will inherently reduce labor demands.

Research from Harvard Business School suggests that AI adoption doesn't necessarily shorten workdays. Instead, employees who work faster with AI tend to expand their scope and work more hours. Similarly, a study by the AI Work Institute found that while some time is saved on tasks, a significant portion is reinvested in managing AI workflows and correcting errors, indicating AI's net effect is an increased, not decreased, workload.