Aug 10, 2026
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Technology

While tech executives claim AI will reduce work hours, employees at major firms report grueling schedules often exceeding 90 hours per week.

ManyPress

ManyPress

ManyPress Editorial

3 min readSource:BBC Technology Reviewed by editors
Tech Employees Report Long Hours Despite AI Productivity Promises

Key facts

  • OpenAI, Anthropic, and Meta employees report working long hours, with some sprints reaching over 90 hours in a seven-day period.
  • A UC Berkeley study found that AI tools caused workers to take on a broader scope of tasks and extend their working hours.
  • Former Google employee Amin Shali left the company in May, citing health issues caused by the pressure of AI-focused engineering demands.
  • Meta employees described being 'drafted' into AI teams, with some staff feeling they had to quit if they refused the assignment.
  • MIT scholar Neil Thompson stated that time savings from AI are often offset by the need to manage and implement the new technology.

Executives at major technology companies have long argued that artificial intelligence will eventually reduce human labor requirements. However, employees at firms like OpenAI, Anthropic, and Meta report that the reality involves increasingly long hours, weekend work, and intense pressure, contradicting the narrative that AI will lead to shorter work weeks.

By the numbers

90 hours
weekly work hours during intensive sprints
1 in 10
proportion of Meta employees laid off

Contradictory Workplace Realities

Despite OpenAI publicly suggesting that companies should test four-day work weeks, a former technical employee stated the company never implemented such a policy. Instead, staff described a culture of crisis meetings and weekend work. Similarly, workers at Anthropic and OpenAI reported that during intensive project periods known as 'sprints,' work weeks can exceed 90 hours.

Pressure at Meta and Google

At Meta, employees reported being 'drafted' into urgent AI projects without the option to refuse, leading to long nights and constant on-call expectations. Former Google employee Amin Shali reported leaving the company in May, citing increased pressure and night work caused by the firm shifting resources toward AI projects, which he claimed negatively impacted his health.

Research on AI Workload Impact

Research from UC Berkeley tracking hundreds of tech workers over eight months found that AI tools led employees to work at a faster pace and extend their hours. MIT innovation scholar Neil Thompson noted that any time saved by AI is often absorbed by the need to implement, test, and verify the output of these tools, or is simply filled with additional tasks.

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This article was independently rewritten by ManyPress editorial AI from reporting originally published by BBC Technology.

Technology