Mark Cuban predicts AI agents will reduce workdays by one hour

Mark Cuban claims AI agents can cut an hour off daily work hours.

In a post on X this Sunday, the billionaire investor noted that “intelligent, larger companies” will encourage employees to develop and employ AI agents to enhance productivity.

Importantly, he stated, “they will begin by reducing their working hours by an hour.”

He mentioned that employees will work an hour less each day but still receive equal pay, indicating companies should “reward individuals completing daily tasks by offering more time.”

AI agents function as virtual aides, capable of autonomously completing assignments from the start to the finish without continuous user prompts.

Cuban’s observations were part of several posts about AI from him on Sunday. Earlier, he shared that he isn’t an AI pessimist and doesn’t anticipate AI growth leading to widespread job losses.

“In time, equivalent tools become available to everyone. Early adopters who refine and implement them best prevail,” he noted.

Cuban’s ideas about shorter workdays align with other tech leaders’ views.

Zoom’s CEO, Eric Yuan claimed in 2024 that AI avatars might manage routine tasks like meeting attendance, potentially cutting workweeks to three or four days.

Microsoft’s founder Bill Gates and JPMorgan’s CEO Jamie Dimon both remarked in 2023 that AI might usher in a three or three-and-a-half-day workweek.

Cuban, once a “Shark Tank” investor, has been enthusiastic about AI in his recent X posts. 

In a February interview, he claimed the AI era allows “anyone with a great concept, even in a basement,” to revolutionize an industry.

Cuban also highlighted AI agents, advising new graduates in December to target small to medium enterprises to assist in AI implementation, tasks larger companies already manage.

AI agents have become known for boosting productivity but still demand significant human oversight. 

A Workday survey in January revealed nearly 40% of AI’s potential value is lost due to rework and inconsistency, as workers verify for errors and issues.

Another poll, reported by the Harvard Business Review this month, highlighted that some staff experience “AI brain fatigue,” a mental haze from using too many AI tools simultaneously.