CEOInterviews.AI
Start App
Kevin Weil
Founder, Warp Sciences; formerly VP, OpenAI for Science and Chief Product Officer, OpenAI, Warp Sciences

US Must Reshore AI Drug Discovery Infrastructure | Kevin Weil

📅 Oct 22, 2026 MTS 17 MIN 696 VIEWS 43 SEGMENTS · 3 SPEAKERS
Warp Sciences co-founder and CEO Kevin Weil discusses emerging from stealth with $215 million to build AI-driven, automated chemistry labs in the US. He addresses the geopolitical urgency of reshoring drug discovery from China and explains why generating massive experimental data via robotic labs is essential to making AI models breakthroughs in hard sciences. Check out our sponsor Lovable: ⁠https://lovable.dev.⁠ Turn ideas into software people love. -- ⁠https://x.com/kevinweil⁠ -- MTS is a live news and interview show covering technology, business, politics, and culture as it happens. Follow...

What Kevin Weil said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Kevin Weil, co-founder and CEO of Warp Sciences, discussed the company's mission to build AI-driven robotic labs in the US to accelerate drug discovery and reshore scientific capabilities from China. He argued that the 3-5 year process of making and testing molecules has been outsourced entirely to China, posing a national security risk. Weil cited Andy Grove's quote about losing manufacturing to warn that the US could lose its pharma industry. He explained that Warp aims to change the economics of drug discovery through automation, making it cost-effective to keep work onshore. Weil highlighted the need for large-scale experimental data to improve AI models in science, noting that current models are data-poor in chemistry and biology. He mentioned Warp's $215 million funding round led by Lightspeed, with participation from IVP, Mayfield, Lux, Menlo, and Scribble Ventures. Weil predicted that within five years, automated labs will become a standard part of scientific research.

Key takeaways

  1. Warp Sciences raised $215 million led by Lightspeed to build US-based robotic labs for drug discovery.
  2. The 3-5 year process of making and testing molecules is entirely outsourced to China, which Weil calls dangerous.
  3. Weil believes AI and robotics can change the economics to make reshoring drug discovery viable.
  4. Weil predicts that in five years, large-scale automated labs will be a key part of how science is done.
  5. Warp is building a vertically integrated company, hiring chemists, roboticists, and AI researchers.

Numbers and commitments

FigureWhat it refers toTypeAt
$215 million Funding raised by Warp Sciences commitment 13:11
3 to 5 years Time spent making and testing molecules timeline 2:43
10 years Years of figuring out uses for current AI models if they stopped improving timeline 12:10

Chapters

  1. 0:00Outsourcing drug discovery to China
  2. 1:10Warp's mission and approach
  3. 2:37The drug discovery process
  4. 5:18Reshoring and economic change
  5. 6:50Role of AI and robotics
  6. 8:39Lessons from OpenAI
  7. 10:21Data needs for science AI
  8. 11:44Timeline for impact
  9. 13:11Funding and next steps
  10. 14:04Future of automated labs

Questions asked in this interview

8
  1. 1:01Tell me a little bit about what was actually announced. Why now?
  2. 2:24Like why is this a concern that we're not doing it fully here in the States?
  3. 6:25And so how does robotics and automation come to play here?
  4. 7:58And so can you share a little bit about what you learned there and how that actually led to what you're doing now?
  5. 10:21You could eventually see models being able to solve like the Navier-Stokes equivalent of drug discovery type of things. Is that what we're saying?
  6. 11:44When do you think we'll actually start to feel all the impacts of this?
  7. 13:01What can people expect to see from you all in the next few months?
  8. 13:52In one year from now, what do you think will be true that isn't true today?
Kevin Weil 0:00 ↗
The thing that people don't know is that whole 3 to 5 years of making and testing molecules, we've outsourced it entirely to China.
Interviewer 0:10 ↗
Wow.
Kevin Weil 0:10 ↗
So it all happens in China and it's really dangerous. Right. So there's this amazing quote from Andy Grove who used to run Intel when he was talking about semiconductors and the same thing happening there, and he said, "Abandoning today's commodity manufacturing can lock you out of tomorrow's emerging industry." That is the path that we are on with pharma. It's really dangerous, but it's not too late to take it back, and that's why we care so much about bringing this back to the US.
Interviewer 0:38 ↗
Hello everyone, welcome back to MTS. Today I am joined live with Kevin Weil, the co-founder and CEO of Warp Sciences, which emerged from stealth today with $215 million to bring AI into the lab and build US chemistry services for drug research. Kevin, super excited to talk to you. Welcome to MTS.
Kevin Weil 1:00 ↗
Thank you for having me.
Interviewer 1:01 ↗
Thank you for joining. I know you guys are fresh off the launch announcement. You announced it earlier this morning. Tell me a little bit about what was actually announced. Why now?
Kevin Weil 1:10 ↗
Yeah, so at Warp, we're using AI and robotics to help the world discover medicines faster.
So we're building robotic labs that do science at scale, and we're doing it here in America. There's like two big pieces to this. One is I think robotic labs are going to be one of the best ways that we have to accelerate science across the board, right? Partly because you can just run more experiments when you have labs operating 24/7, but also because doing this kind of science at scale is the way that we're going to generate training data which the models desperately need to become better at the kind of core science like chemistry, biology, drug discovery. The other thing, and a lot of people don't know this, we need to reshore scientific capabilities from China so that we don't lose our pharma industry the way that we lost solar and drones and manufacturing. And so for us, there is one solution to both of these, which is we are building a next-generation pre-clinical CRO. That's a contract research organization starting with small molecule chemistry, and it's built here in America. So we're not developing drugs on our own. We are building the infrastructure so that everybody who does develop drugs can go faster.
Interviewer 2:24 ↗
Yeah, this is particularly interesting around the reshoring piece. I think this is a key area that most people don't totally realize. What exactly is happening right now? Like why is this a concern that we're not doing it fully here in the States?
Kevin Weil 2:37 ↗
Yeah. So maybe I'll step back and give just kind of an overview of the drug discovery process. I think it's helpful context.
So imagine you and I start a drug discovery company. Like you're coming off of your, you know, PhD in biology or something, and you've been studying some form of cancer. And usually you have a biological hypothesis. You say, okay, there's some protein and maybe it like overexpresses, and we need to inhibit it. And we would start this biotech with a hypothesis that if we can inhibit this protein with a drug, then like we have a positive effect on people's cancer. So we would find a molecule that bound to the protein, but most likely that first molecule that you find is going to be toxic, or it's going to not be soluble, or it's not going to be very potent, you know. So instead of being able to take a little pill of it, you have to take a kilogram of it, which you know makes it not viable as a drug. And so the next step that we would go through is we would spend the next 3 to 5 years making variations of this molecule, hoping that we could find one that was less toxic, more potent, more soluble, more selective, etc. So you go through this big long process, and once you find that one, then you go into clinical trials and all that, right? So this is the drug making process. But the thing that people don't know is that whole 3 to 5 years of making and testing molecules, we've outsourced it entirely to China.
Interviewer 4:07 ↗
Wow.
Kevin Weil 4:07 ↗
So it all happens in China and it's really dangerous. Right. This is a core part of the process of turning an idea into a new medicine, and we cannot depend on what is, you know, a geopolitical adversary to do this work for us.
Interviewer 4:26 ↗
I want to shout out our sponsor, Lovable. You know, the app you've been meaning to build — the internal tool, side project, or product you'd otherwise lose a weekend to. With Lovable, you get software you can ship today. That includes an editable codebase you can inspect and change, plus two-way GitHub sync. Lovable also handles the backend and infrastructure, including managed Postgres, object storage, hosting, payments, and more, so you don't have to wire it all up yourself. And through Lovable's MCP server, you can create and deploy your project directly from the agents you already use. Turn ideas into software people love with Lovable. lovable.dev. Now on to the episode.
So what you're saying is that right now it's not totally possible to do complete sovereign science, especially in some of these super extreme and important use cases like here in the United States.
Kevin Weil 5:18 ↗
Yeah. I mean, look, it rhymes with the manufacturing industry and what happened, right? You start with the manufacturing industry. We started by outsourcing and offshoring the sort of low-skilled manufacturing work, but then over time we pushed more and more out of the country and we lost the muscle. And at the same time, China and others grew and got better and better at it, and now there's a whole bunch of manufacturing that we cannot do anymore. So there's this amazing quote from Andy Grove who used to run Intel when he was talking about semiconductors and the same thing happening there, and he said, "Abandoning today's commodity manufacturing can lock you out of tomorrow's emerging industry."
Interviewer 6:01 ↗
Yeah.
Kevin Weil 6:01 ↗
That is the path that we are on with pharma. It's really dangerous, but it's not too late to take it back, and that's why we care so much about bringing this back to the US.
But if you're going to bring it back, you've got to change the economics, right? There's an economic reason why this all moved out, and the way that you change the economics is you do it with robotics and AI and automation, and so that is the reason to believe that we can actually go do this now.

16 more exchanges in this transcript

Sign in free to read the rest of this interview. No card required.

Sign in to read the full transcript

Cite this transcript

APA, MLA, BibTeX
APA

Weil, K. (2026, October 22). US Must Reshore AI Drug Discovery Infrastructure | Kevin Weil [Interview transcript]. MTS. CEOInterviews.AI. https://ceointerviews.ai/interview/3121331/

MLA

Kevin Weil. "US Must Reshore AI Drug Discovery Infrastructure | Kevin Weil." MTS, 22 Oct. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/3121331/.

BibTeX
@misc{weil2026_3121331,
  author       = {Kevin Weil},
  title        = {US Must Reshore AI Drug Discovery Infrastructure | Kevin Weil},
  howpublished = {Interview transcript, MTS. CEOInterviews.AI},
  year         = {2026},
  month        = {oct},
  url          = {https://ceointerviews.ai/interview/3121331/},
  note         = {Speaker-attributed transcript with timestamps}
}