Heavy AI users report mental burnout from ‘babysitting’ models

If AI agents are not kept on course by a human, they could misunderstand an instruction and wander down an errant processing path.

Photo: AFP/Getty Images/TNS Heavy users of artificial intelligence have reported being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.

Too many lines of code to analyse, armies of AI assistants to wrangle and lengthy prompts to draft are among the laments by hard-core AI adopters.

Consultants at Boston Consulting Group (BCG) have dubbed the phenomenon “AI brain fry”, a state of mental exhaustion stemming “from the excessive use or supervision of artificial intelligence tools, pushed beyond our cognitive limits.” The rise of AI agents that tend to computer tasks on demand has put users in the position of managing smart, fast digital workers rather than having to grind through jobs themselves.

People experiencing AI burnout are creating legions of agents that need to be constantly managed.

Photo: Shutterstock “It’s a brand-new kind of cognitive load,” said Ben Wigler, co-founder of the start-up LoveMind AI. “You have to really babysit these models.” People experiencing AI burnout are not casually dabbling with the technology, they are creating legions of agents that need to be constantly managed, according to Tim Norton, founder of the AI integration consultancy nouvreLabs. “That’s what’s causing the burnout,” Norton wrote on social media.

However, BCG and others do not see it as a case of AI causing people to get burned out on their jobs.

A BCG study of 1,488 professionals in the United States actually found a decline in burnout rates when AI took over repetitive work tasks.

For now, “brain fry” is primarily a bane for software developers given that AI agents have excelled quickly at writing computer code. “The cruel irony is that AI-generated code requires more careful review than human-written code,” software engineer Siddhant Khare wrote in a blog post. “It is very scary to commit to hundreds of lines of AI-written code because there is a risk of security flaws or simply not understanding the entire codebase,” added Adam Mackintosh, a programmer for a Canadian company.

And if AI agents are not kept on course by a human, they could misunderstand an instruction and wander down an errant processing path, resulting in a business paying for wasted computing power.

Wigler noted that the promise of hitting goals fast with AI tempts tech start-up teams already prone to

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