Wharton's Mollick: No Job Is Safe From AI, Four Skills Matter
Ethan Mollick said hands-on roles like plumber or nurse offer no guaranteed protection from AI, and listed four capabilities workers should build.
Wharton professor Ethan Mollick said no occupation is guaranteed protection from AI, including hands-on jobs such as plumber or nurse, in remarks reported by Business Insider on November 2.
Mollick named four capabilities that help workers in the AI era: deep expertise in a field, broad knowledge across fields, the judgment to assess the quality of output, and the agency to define and pursue a desired outcome.
On coding, he said the work is already changing greatly but that whether jobs will increase or decrease remains unclear. Conceiving what to build is becoming more important than the ability to write error-free code, he said.
Working with AI is becoming more like management than prompt technique, according to Mollick. It requires specifics on the desired output, evaluation criteria, testing and checkpoints. Experienced workers can raise their productivity with AI, he said, while newcomers may submit Claude's output as-is for lack of judgment criteria.
He also warned that workplace apprenticeship training may be undermined as managers find AI handles tasks better than interns. Schools and universities, by contrast, can adapt because AI can serve as a good personal tutor, he said.
Mollick recently published the book "Co-Existence," in which he wrote that AI models are advancing much faster than public perception.
Quick answers
What four capabilities did Ethan Mollick say matter in the AI era?
Deep expertise in a field, broad knowledge across fields, judgment to assess output quality, and agency to define and pursue a desired outcome.
What did Mollick say about coding jobs and AI?
He said coding work is already changing greatly, but whether jobs will increase or decrease is still unclear, and that deciding what to build is becoming more important than writing error-free code.