FT商学院

Who decides which jobs AI will take?

Different models are producing very different assessments of exposure levels

This article is an on-site version of our The AI Shift newsletter. Premium subscribers can sign up here to get the newsletter delivered every Thursday. Standard subscribers can upgrade to Premium here, or explore all FT newsletters

Welcome back to The AI Shift, our weekly dive beneath the surface of the AI and jobs story. We’ve written before — with a somewhat sceptical eye — about how economists produce their splashy estimates of which jobs are “exposed” to AI disruption. Today we’re going one step deeper: who (or, more to the point, what) actually decides whether AI is capable of performing an individual task? And how consistent are those assessments?

John writes

Over the past year or two, dozens of headline-making studies have made claims about whether or not we are on the brink of a white-collar jobs wipeout, whether AI is already eating graduate jobs, and so on. Away from the headlines is the small detail that the vast majority of those studies have been underpinned by a single set of scores for how exposed particular jobs are to AI. And deeper still in the footnotes is how those exposure scores are determined.

您已阅读12%(1130字),剩余88%(7950字)包含更多重要信息,订阅以继续探索完整内容,并享受更多专属服务。
版权声明:本文版权归manbetx20客户端下载 所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。
设置字号×
最小
较小
默认
较大
最大
分享×