A concrete mixer once replaced 100 shovel workers. That's the historical precedent for automation fears. AI labs softened job-loss predictions under pressure from the White House and Chinese authorities, focusing instead on accelerating drug discovery and physics.
The amount of work I do with Skippy while I'm driving and just having a conversation, say, do this work, write this report, get me the answer. Takes out a lot of crap. Every moment becomes capable.
Go back to the automation days, right? One concrete mixing truck replaces about 100 workers with shovels shoveling concrete.
Yeah.
Okay? Nobody wants to go back to shoveling concrete. Like, what are we thinking about? Just let's move forward, please.
You know, the other thing that's really clear to me is that we were predicting massive white-collar job disruption just a year ago. The choice to not do that was an active choice by the big AI labs under pressure from the White House and also in China. You know, lawsuits. If you just wantonly fire people, you have to actually try to retrain them to become an AI person, and you have to pay either way. So the governments got involved and said, we don't want massive voter disruption. The AI companies are saying it just doesn't matter that much. We're on this abundance curve that's so steep that working within AI to create new drugs, to create new physics, to create new math is so much more important than disrupting everyone's life that we're just going to do it the easy way and do it with the cooperation of the White House. I think that's what's actually happened and likely to continue. As long as you're part of that rising wave and you're not, you know, sitting in legacy land, you're going to do really, really, really well. And there isn't going to be massive job disruption.
