In recent years, the potential of artificial intelligence has been promoted as a way to streamline work processes, empowering machines to handle tasks. However, a troubling trend is emerging—rather than simplifying work, AI might be adding to the mental burdens of employees. A recent study from Harvard Business Review highlights that instead of enhancing productivity, AI could be causing what researchers describe as “brain fry.”
In a survey of about 1,500 employees, findings revealed that individuals who frequently switch between multiple AI tools experience heightened decision fatigue and make more mistakes. Alarmingly, around one in seven workers reported feeling mentally exhausted from managing various AI resources at work.
Julie Bedard, managing director and partner at Boston Consulting Group and a co-author of the study, noted, “While AI can advance rapidly, we remain with the same cognitive capabilities as before.” Speaking with CBS News, she indicated that these results may serve as an early warning that our expectations regarding AI’s impact on productivity need to be reassessed.
“AI indeed offers some advantages for work. However, it also raises important questions about our work methods,” Bedard continued. “The need for close monitoring of AI can lead to significant cognitive exhaustion.”
The Productivity Paradox
This study reveals a perplexing paradox: AI has the capacity to both alleviate and exacerbate burnout.
When employees are required to constantly oversee multiple AI systems or switch between various tools, their mental strain escalates dramatically. In contrast, using AI to offload repetitive tasks considerably reduces stress levels.
Bedard elaborated that AI “allows us to significantly enhance our capabilities, broadening our workload and accountability.” However, this expanded ability can quickly become overwhelming.
“When facing AI-induced brain fry, many feel as though the cognitive demands surpass their mental capacity,” she remarked.
Experiencing Brain Fry
For individuals working extensively with AI tools, the notion of “brain fry” resonates deeply.
Jack Downey, Head of Strategy, Operations, and Product at Webster Pass Consulting, expressed, “After a full day of work, there’s a profound exhaustion that I didn’t feel during traditional workdays before AI.” He utilizes AI daily to create automation systems, noting an increased mental strain linked to managing AI workflows.
“You’re constantly switching tasks, and the pace is incredibly fast but not instantaneous,” he explained. “Some tasks may take five seconds, while others could take up to five minutes. I often have multiple windows open to tackle different aspects of a project simultaneously.”
Although AI technology broadens the scope of what employees can achieve, it also amplifies the expectations placed on them, even if those expectations are self-imposed.
“The endless capabilities of AI can make it challenging to set boundaries and know when to stop pursuing the next improvement,” Downey stated. “As a perfectionist, this often leads to uncertainty about when to conclude my tasks. The desire for perfection can result in spending excessive time refining workflows and instructing AI on tasks.”
To combat this, Downey has found that establishing deadlines for himself and the AI helps mitigate burnout and yield better results.
Why Businesses Should Take Notice
Historically, many speculations about artificial intelligence suggested that fewer workers would accomplish more in less time. However, if AI is propelling employees toward cognitive overload, companies may need to reassess these assumptions, Bedard cautioned.
“We need to rethink our work design—merely overlaying AI onto existing tasks is not a viable solution,” she argued.
The study identified that effective leadership and adequate training can significantly reduce instances of brain fry. Employees whose managers were deliberate in their use of AI reported less cognitive exhaustion.
If businesses fail to adapt, they may face negative affect on productivity. Workers grappling with AI-induced brain fry noted increased errors, slower decision-making, and heightened fatigue. Bedard emphasizes that the answer lies not in abandoning AI, but rather in re-evaluating how human workers engage with these tools as we navigate the accelerating AI revolution.
The potential of AI may seem boundless, yet understanding the limits of the human mind is essential to keep pace with this rapidly evolving technology.
