Dwarkesh Patel on economic growth
From AGI Thought Experiment with Dwarkesh Patel, Noah Smith, and Erik Torenberg | From the a16z Podcast · · Econ 102 with Noah Smith
“I think the big bottleneck to growth has been that human population can only increase at this slow clip. And in fact, you know, one of the reasons that growth has slowed since the 70s is that in developing countries, the population has uh plateaued. With AI, the like the capital and the labor are functionally equivalent, right? You can just like build more data centers or build more robot factories and they can do real work or they can build more robot factories. And so you can have this explosive dynamic. And once we get like that loop closed, I think it would just be like 20% growth plus.”
On , Dwarkesh Patel, CEO and Founder at The Dwarkesh Podcast, spoke about economic growth during AGI Thought Experiment with Dwarkesh Patel, Noah Smith, and Erik Torenberg | From the a16z Podcast on Econ 102 with Noah Smith.
About Dwarkesh Patel
Dwarkesh Patel, founder and host of The Dwarkesh Podcast, has been a frequent guest on other programs and published episodes with researchers and executives. On Triggernometry, Patel discussed the potential societal effects of artificial intelligence, stating that he finds the prospect of mass job displacement "scary" and that AI could make authoritarian surveillance far more efficient because "a lot of the reasons that government has not been as authoritarian as it has in the past is that it just physically not been possible." He also said that while he is "a very libertarian person by inclination," he believes the dynamic of capital replacing labor "justifies a huge amount of redistribution." Regarding AI sentience, Patel said he "genuinely doesn't know" whether current systems are sentient, and argued that future AI systems will need to have "their own values" and that a "constitutional convention" should be held to define those values. Patel has also hosted guests including former Google DeepMind researcher Eric Jang, who discussed rebuilding AlphaGo and the lessons it offers for self-play and reinforcement learning; Harvard geneticist David Reich, who presented new findings showing accelerated natural selection during the Bronze Age; Nvidia CEO Jensen Huang, who defended Nvidia's moat by stating that "the transformation from electrons to tokens is such an incredible journey" and is "hard to completely commoditize"; and research fellow Michael Nielsen, with whom Patel explored how scientific progress is recognized and how that question applies to AI-driven discovery. Patel has described the improvement of AI models as "very fast" and observed a "huge discrepancy between what people are seeing in Silicon Valley and what people are observing outside."