Professor: A “messy” job is the defense against AI unemployment
Excitech Media
A professor argues that jobs with messy, non-verifiable tasks are immune to AI displacement.Summary
The article discusses a book titled "Messy Jobs: The Work that AI Cannot Reach" by economists Luis Garicano, Jin Li, and Yanhui Wu. It challenges predictions of mass unemployment due to AI by defining "messy jobs" as roles involving multiple tasks, human relationships, and strategic or tacit knowledge that are difficult to automate. Examples include consultants, salespeople, and factory engineers. The authors highlight that AI excels at single, verifiable tasks but struggles with irreducible messiness, power dynamics, and politics, which limit its impact. The advice is to seek jobs that are messy and relational to future-proof careers.
(Source：Excitech Media)