MS

Martin Shkreli

Things Martin Says on Podcasts

Where to Find Them

Martin Shkreli writes a16z Podcast . They have also been a guest on TBPN (8 times) , The Wolf Of All Streets (2 times) , Unchained (2 times) , All-In with Chamath, Jason, Sacks & Friedberg , Summation with Auren Hoffman , Gradient Dissent: Conversations on AI , Bitcoin News Alerts | Daily BTC Macro Signal , My First Million and The Doctor's Lounge .

Recently: “Martin Shkreli: Big Pharma's Blind Spot, Betting Against Quantum & What Prison Taught Him” on All-In with Chamath, Jason, Sacks & Friedberg (October 2026); “Leopold Sold, Ferrari Undefeated, Martin Shkreli Joins | Guillaume Verdon, Lulu Meservey, Michael Kim, Joon Sung Park, Karan Kunjur, Vlad Tenev” on TBPN (July 2026); “Martin Shkreli Breaks Down the Collapse of Situational Awareness” on TBPN (July 2026); “Martin Shkreli on Drug Pricing, Prison, and the Fraud That Shook Pharma” on The Doctor's Lounge (July 2026); “Martin Shkreli on AI, Pharma, and What Actually Matters” on a16z Podcast (April 2026); “Martin Shkreli on AI, Pharma, and What Actually Matters” on a16z Podcast (April 2026).

What They Said

“I don't think there'll be a single AI-relevant drug in the next 10 years. AI does not help drug discovery. … It's pretty hard to do. And we've had computers for a long time. I built a Cray cluster to analyze drugs. Now I can use GPUs. It's great. But there isn't much AI can help us with in drug discovery.” — Martin Shkreli, All-In with Chamath, Jason, Sacks & Friedberg

Asked about effective accelerationism, Shkreli calls AI fear-mongering ridiculous and takes aim at Dario Amodei's predictions of mass unemployment and cured diseases. He then asks the audience to raise a hand if they've ever gotten a drug through FDA approval.

All-In with Chamath, Jason, Sacks & Friedberg · 2026-10-12 Permalink → Listen →
All-In with Chamath, Jason, Sacks & Friedberg Around 17:15 into the episode
Martin Shkreli

Effective accelerationism.

Speaker 4

Effective accelerationism. Which means. Which means? That's

Martin Shkreli

…unemployed within one to five years, about two years ago. Well, he's got three years left. He also said that we'd cure all diseases. I don't think there'll be a single AI-relevant drug in the next 10 years. AI does not help drug discovery. If you've ever built drugs, and raise your hand, if you've made a drug, gotten FDA approval for a drug. Okay, I'm pretty sure that's it. It's pretty hard. It's pretty hard to do. And we've had computers for a long time. I built a Cray cluster to analyze drugs. Now I can use GPUs. It's great. But there isn't much AI can help us with in drug discovery.

Speaker 4

What is the revenue cycle that's driving valuation? So just unpack it from a hedge funder, you're sitting there, you're like, well, you see these run rates, right? I think Jensen mentioned it yesterday. $400 billion have gone into venture that has been redirected into AI. So do you interpret that…

Martin Shkreli

I think so. That's your

Speaker 4

argument. Yeah. And I

Speaker names from our own diarization · position estimated from where the line sits in the episode
“Yeah, I've been shorting them. Unfortunately, we lost millions of dollars shorting quantum computing companies, but I told my wife that we gained billions in insight.” — Martin Shkreli, All-In with Chamath, Jason, Sacks & Friedberg

Shkreli had just said he and a collaborator have tried every quantum computer in the world and can't get any of them to multiply 300 by 200. Asked whether he's short the sector, this was his answer. He argues quantum mostly speeds up one algorithm, integer factoring.

All-In with Chamath, Jason, Sacks & Friedberg · 2026-10-12 Permalink → Listen →
All-In with Chamath, Jason, Sacks & Friedberg Around 06:51 into the episode
Martin Shkreli

Very few. So Google has a few prototypes. IBM has a little cloud. Chelsea and I have tried every single quantum computer in the world. We cannot multiply 300 by 200 on any of these.

Speaker 3

And you're shorting them?

Martin Shkreli

Yeah, I've been shorting them. Unfortunately, we lost millions of dollars shorting quantum computing companies, but I told my wife that we gained billions in insight.

Speaker 3

Right. It's not easy to time the markets. Yes. Definitely. So

Speaker 4

where is the natural computational edge? I mean, some people would say it's going to be towards encryption and defeating encryption because now we can actually use what it's actually good at to essentially brute force solutions to things that we can't solve today.

Martin Shkreli

I think it's crazy to even think about it because we have a computational problem that we're trying to solve. And every time somebody uses the word AI, I actually think of the word MATMOL. These are Matmol machines. And I think that as we

Speaker names from our own diarization · position estimated from where the line sits in the episode

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