AI And The Future Of Work: No Skill Is Robot-Proof

Neuroscientist and AI researcher Vivienne Ming says we are measuring the wrong things, hiring for the wrong traits, and building AI that makes us less capable. The fix, she argues, is not more training—it is a different kind of human.

Ming is author of Robot-Proof: When Machines Have All the Answers, Build Better People. She doesn’t speak about the future of work the way most executives do. Where they tend to see a straightforward productivity story—AI as a tool that will absorb the tedious tasks and free humans for the interesting ones—she sees a far more unsettling picture. The serial AI entrepreneur argues that the very premise of the debate is wrong, and that the skills companies are currently training for are the ones AI will master first.

“We misunderstand what kind of intelligence AI actually is,” she says. “Agentic AI is a ‘how’ machine. It can learn the rules of coding, legal analysis, or financial modeling and execute them faster and cheaper than any human. If a job can be defined by past data, an AI will eventually do it.”

By Rodger Dean Duncan,

Full story at Forbes