AI’s Role as Butler May Lead to Worker Burnout

A new study published in Harvard Business Review warns that while artificial intelligence (AI) promises to automate much of work, some workers are struggling with what it dubs “brain fry.” Researchers surveyed 1,500 workers and found a paradox: AI can alleviate burnout by offloading repetitive tasks, yet it also exacerbates mental fatigue when managers must constantly oversee multiple AI tools.

The findings suggest that expectations around AI productivity might need to be recalibrated. Managing director Julie Bedard of Boston Consulting Group posited, “The AI can run out far ahead of us, but we’re still here with the same brain we had yesterday.” Her comments reflect a growing concern among workers who feel overwhelmed by the constant multitasking required when juggling several AI tools at work.

“AI is really good in some ways for work,” Bedard explained. “And in other ways, it gives us pause in how we do our work.” Workers experiencing cognitive exhaustion report more decision fatigue and more errors. Specifically, intensive oversight of AI can cause significant cognitive strain, leading to mental exhaustion.

One worker who uses AI daily at Webster Pass Consulting remarked: “There’s a point after a full day where I just kind of feel exhausted in a way that I didn’t feel in a normal workday before AI.” He elaborates further on the added mental burden, saying, “You’re constantly waiting… and you’re changing gears. It works so quickly, but not quite quickly enough.”

The study underscores how expanding capabilities through AI can lead to cognitive overload, causing workers to doubt their ability to handle tasks that might be beyond human capability. This strain often leads perfectionists to pursue endless improvements with AI.

“People working deeply with AI tools find the concept of ‘brain fry’ resonates,” Jack Downey, Head of Strategy, Operations and Product at Webster Pass Consulting, acknowledged. “You’re constantly waiting… And you’re changing gears.” While he uses AI to build automation systems, it brings additional mental strain as tasks often take five seconds for one task, 50 seconds for another, and minutes for a third.

To mitigate this issue, Downey suggests setting deadlines for both himself and his AI. “As a perfectionist,” he said, “that often can result in not knowing when to stop.” He believes that the continuous improvement mindset often extends work beyond what is necessary, consuming more time on perfecting workflows rather than finishing tasks.

Bedard, who authored the study, emphasizes that while AI’s benefits are vast, so too are its drawbacks. The potential for cognitive overload necessitates a reconsideration of how human workers should best interact with these tools as the AI revolution accelerates. “We need to redesign how we do our work,” she suggests, “where we don’t just keep exactly what we did yesterday and put AI on top of it.”

Leadership and training play a critical role in mitigating brain fry. The study indicated that less brain fry is experienced among employees whose managers were intentional with their use of AI.

For businesses, these findings could indicate potential bottom-line impacts if not addressed properly. Workers experiencing “brain fry” reported more mistakes, slower decision-making, and higher fatigue levels. It’s clear from the data that while the promise of limitless technology extends what humans can accomplish, it also requires significant vigilance to manage human cognitive limits effectively.

The challenge for organizations lies in how they integrate AI without overloading their workforce’s mental capacities. The solution is not abandoning AI altogether but rather rethinking collaborative practices between human workers and these tools as advancements continue at an unprecedented pace.