Macro investor Alap Shah discusses his thesis on the systemic macroeconomic risks posed by AI-driven white-collar labor displacement.
Prediction Not checkable as stated
Shah: Physical robotics deployment lags LLM diffusion by 24 to 36 months
“I think robots are probably, like, 24 to 36 months behind other forms of LLMs that are, you know, just diffusing through society”
Prediction Not checkable as stated
Shah: Displaced white-collar workers will severely pressure blue-collar and gig labor markets
“Those five percent, if there aren't white collar jobs for them to relocate into, then they're going to have to move into the gig economy and the blue collar labor force. And so that puts pressure on the entire labor market not just the white collar one.”
Prediction Held up
Shah: Consumers will use AI agents for autonomous purchases within six months
“You just, and no one's really doing this yet, but it's going to happen, I think, you know, in the next six months. Is just tell your agent, you know, tell Gemini, tell ChatGPT, go buy these things, it has your credit card, and now that world that they were des…”
Prediction Not checkable as stated
Shah: IT outsourcers will see a short-term AI bump before structural decline
“And so I think those businesses are likely going to be in a lot of trouble over the medium term, but they probably will have a big bump from people really putting that AI into their organizations first, and so it's a bit of a tricky timeline there.”
Insight
Shah: AI strengthens true network effects like Meta over demand aggregators
“Network effects are more powerful than ever, I think, in this world. Yeah. So things like Meta really have a lot to sort of gain in that sense, but I think things that look like they're network effect businesses, but in fact are just the ones that are doing th…”
Insight
Shah: AI agents will destroy DoorDash and Uber moats by price-shopping
“The real lock in, the real business value, The franchise value of an Uber or a DoorDash is the customer lock-in because the customer gets comfortable. They've got everything saved. They want to hit a couple buttons. They don't price shop. Agents are happy to p…”