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In this episode, I sit down with Peter Bruce-Clark, an impact-focused venture capitalist and partner at Social Impact Capital in New York and Conduit Connect in London. Peter took an unusual road into venture. He studied literature and philosophy, ended up doing research at Stanford on how to generate impact through investment vehicles, and tried to launch an AI fund in the early 2010s, before OpenAI existed, back when he was meeting people like Dario Amodei and Demis Hassabis and nobody wanted to fund a thesis that was simply too early.
We talk about what AI is actually good for beyond the hype: drug discovery, advanced materials, simulations that run a thousand times faster than a room full of PhDs. Peter describes AI as a cognitive exoskeleton, something that extends what he can do without replacing his capacity to imagine, which he still believes is the most human thing we have. We also get into the uncomfortable parts. What happens to the humans in the loop when robotics arrives. Why he gets angsty about where value accrues over time. And why he thinks that after two decades of a speculative meta economy, people are about to rediscover the real one.
His advice to young people is refreshingly simple: experiment, play, and learn for learning’s sake. Not the grind. The Socratic version.
This one goes from venture capital to philosophy and back, and it left me more optimistic than I expected.
Topics covered:
* From literature and philosophy to impact investing
* Building an AI fund before the market was ready
* AI as a cognitive exoskeleton
* Robotics, job displacement, and the humans in the loop
* Why the real economy is where value goes next
* Book picks: Granta and The Four Agreements
By Germán LeónIn this episode, I sit down with Peter Bruce-Clark, an impact-focused venture capitalist and partner at Social Impact Capital in New York and Conduit Connect in London. Peter took an unusual road into venture. He studied literature and philosophy, ended up doing research at Stanford on how to generate impact through investment vehicles, and tried to launch an AI fund in the early 2010s, before OpenAI existed, back when he was meeting people like Dario Amodei and Demis Hassabis and nobody wanted to fund a thesis that was simply too early.
We talk about what AI is actually good for beyond the hype: drug discovery, advanced materials, simulations that run a thousand times faster than a room full of PhDs. Peter describes AI as a cognitive exoskeleton, something that extends what he can do without replacing his capacity to imagine, which he still believes is the most human thing we have. We also get into the uncomfortable parts. What happens to the humans in the loop when robotics arrives. Why he gets angsty about where value accrues over time. And why he thinks that after two decades of a speculative meta economy, people are about to rediscover the real one.
His advice to young people is refreshingly simple: experiment, play, and learn for learning’s sake. Not the grind. The Socratic version.
This one goes from venture capital to philosophy and back, and it left me more optimistic than I expected.
Topics covered:
* From literature and philosophy to impact investing
* Building an AI fund before the market was ready
* AI as a cognitive exoskeleton
* Robotics, job displacement, and the humans in the loop
* Why the real economy is where value goes next
* Book picks: Granta and The Four Agreements