Martin Shkreli on AI, Pharma, and What Actually Matters
The a16z Show
a16z
4.2 • 1.2K Ratings
🗓️ 23 April 2026
⏱️ 49 minutes
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| 0:00.0 | The two richest guys in the world don't just drop 400 million on a single deal. The biggest VCs, maybe. That's still like a lot. So like how'd this guy show up with 400 million to drop? So there's $10 trillion, whether you include all the other hardware coming out, the rest of the ecosystem, etc. Maybe it's $5 to $10 trillion a market cap up for grabs. And it's not an area where there's a lot of startups, which is like really shocking. I don't want it to have data centers in space. |
| 0:24.2 | I don't want to have data centers in space. I don't want to have nuclear reactors in my backyard. And I think that, you know, it'd be a lot easier if you just made a freaking better computer. Remember how big of a mistake you mean, there's always redemption. It's just you have to show the vulnerability. You have to say I fucked up. Even if you don't say I fucked up, you have to show a scar or wound or bleed a little bit. |
| 0:41.8 | What actually matters in AI right now? |
| 0:44.5 | Better models or better businesses? |
| 0:47.1 | A few years ago, the focus was intelligence. |
| 0:49.9 | Who had the best system, benchmarks, and breakthroughs? |
| 0:53.6 | Increasingly, the real question is economic. |
| 0:56.7 | Who captures the value, how it's priced, and where the bottlenecks are? |
| 1:01.2 | At the same time, we're hitting limits. |
| 1:03.9 | Compute is getting more expensive, and new approaches from photonic computing to specialize hardware |
| 1:09.3 | are becoming more necessary. That creates a tension. |
| 1:13.8 | Software is easier to build, but harder to differentiate. Meanwhile, industries like finance and |
| 1:19.7 | biotech still require deep expertise and real-world validation. In this episode, I try to |
| 1:25.9 | understand where the real leverage is shifting across AI, hardware, and pharma. |
| 1:31.2 | I speak with Martin Schrelli, American investor and businessman. |
| 1:37.1 | We're talking a very exciting day. We have Open AI about to make an announcement. |
| 1:42.5 | I thought I'd start by just asking for you to broadly reflect on sort of the Open |
| 1:49.1 | AI versus Anthropic. |
| 1:51.8 | What's happening here? |
| 1:52.9 | How do you make sense of the ecosystem? |
| 1:55.0 | Yeah. |
| 1:55.3 | So just, you know, obviously disclosure, you know, my wife sat Open AI. |
... |
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