A labor economist explains why AI won't take your job
In the fourth episode of the Platformer podcast, labor economist Kathryn Anne Edwards makes the case that the AI jobs panic is overblown — and that the real threat to workers isn't the technology, but a government that refuses to fix the social safety net. She also flatly rejects Sam Altman's vision of a permanently unemployed "idle class," which she calls not just wrong but classist. Platformer's Casey Newton talks to the Bloomberg Opinion columnist and co-host of the Optimist Economy podcast about why economists can't — and shouldn't bother to — pin down exactly how many jobs AI will destroy, whether the recent wave of AI-blamed layoffs is real or just "AI-washing," what's actually squeezing entry-level workers, what she tells new grads who can't find a first job, why writing everyone a UBI check isn't a panacea, and whether Washington will ever build the safety net we already know how to build. Edwards also explains why the closest thing we've seen to an "AI rapture" already happened — in the spring of 2020, when half of the leisure and hospitality industry lost their jobs in three weeks — and how the economy managed to claw its way back. Plus, Platformer fellow Ella Markianos joins at the top of the show to discuss the chipmakers handing out massive bonuses, as workers at Samsung and TSMC win a bigger share of the AI boom. Who else should we have on this show? Let us know at casey@platformer.news. Sponsored by Atlassian Rovo | Become an AI-native team with Rovo. https://www.atlassian.com/rovo Hosted on Acast. See acast.com/privacy for more information.