U.S. & China Begin AI Safety Talks, Vinod Khosla’s Pitch for Tax Reform in the AI Era

21 Sep 2026 · 46 min · 18 chapters

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In short

U.S.-China AI safety talks; Trump’s proposed “AI force”; U.S. AI safety regulation transparency; Vinod Khosla’s tax reform plan for the AI era and his views on AI oversight; Clay’s enterprise AI sales product and how AI safety debates affect software.

Guests (backgrounds)

  1. Leo Schwartz, The Information tech and politics reporter.
  2. Scott Besson (Besson), U.S. Treasury Secretary (interviewed via Leo).
  3. Vinod Khosla, founder of Khosla Ventures; Seattle Seahawks controlling stake; wrote an AI-era tax reform op-ed.
  4. Kareem Amin, co-founder and CEO of Clay (valued ~$7.1B; raised $150M); builds AI for sales.

Key claims

  • U.S.-China discussed an AI “notification mechanism” for national-security-level incidents; export controls/chips weren’t on the agenda.
  • Trump’s “AI force” would be like Space Force; remit unclear.
  • FOIA lawsuit may force release of AI safety framework documents by Oct 30 (possibly redacted).
  • Khosla: don’t slow AI; protect people not jobs; levelize capital gains with labor; AI could replace 60%+ of labor; safety via independent oversight boards, not treaties.
  • Amin: Clay’s “next best action” sales engine is moving toward AI agents; enterprise risk focus is more cybersecurity than existential AI.

Notable examples

  • Khosla cites UL-style safety certification and argues treaties are infeasible due to low trust (COVID lab leak; China/Russia behavior).
  • Clay examples: automated territory planning, AI worker for outreach (details teased); scenario planning for RSI vs status quo.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

U.S.-China AI Dialogue Developments

1:04 to 3:00

Discussion on recent talks between U.S. and China regarding AI safety.

“President Trump is set to meet with China President Xi Jinping this week, and talks between top government officials already started over the weekend in New York.”

Potential AI Safety Accord Insights

3:00 to 4:40

Insights into the potential safety-focused accord between the U.S. and China.

“It's really unclear what would happen after that notification.”

Discussion on Export Controls and Trade Issues

4:40 to 6:27

Analysis of U.S.-China export control discussions and trade tensions.

“Yeah, as you mentioned, it was a busy weekend.”

Trump's AI Force Proposal

6:27 to 8:05

Exploration of Trump's recent social media announcement about an AI force.

“So what the Axios B speculated is that maybe it would be a government official who's already essentially gone through that process.”

Vinod Khosla on Tax Reform in the AI Era

8:05 to 9:45

Interview with Vinod Khosla about his proposals for tax reform considering AI advancements.

“That is Leo Schwartz, our tech and politics reporter here at The Information.”

Addressing AI's Impact on Jobs and Society

9:45 to 14:02

Khosla discusses the necessity of protecting people affected by AI job displacement.

“move fast forward on AI, we will lose that race to other nations, especially China.”

Tax Reform for the AI Era

14:02 to 17:38

Explore ideas around tax reform to support workers displaced by AI.

“And there's other tax breaks we can talk about.”

The Promise of AI and Regulation

17:38 to 19:49

Discussion on the benefits of AI and the need for regulation.

“is how you think AI should be regulated.”

Oversight and Safety in AI Development

19:49 to 22:34

Analyzing the role of oversight bodies in ensuring AI safety.

“You can have nuclear bombs and nuclear power plants.”

Concerns Over Government Involvement in AI

22:34 to 26:46

Debating the implications of government involvement in AI oversight.

“I think that's the right direction to explore and detail out further.”
Show all 18 chapters

Vinod Khosla's Stake in Sports and AI Value

26:46 to 28:00

Khosla discusses his stake in the Seahawks and AI's future in sports.

“He got fired because Trump's buddies wanted those approved.”

AI's Impact on Jobs and Human Value

28:00 to 32:25

Explore how AI is reshaping job markets and the value of human craftsmanship.

“Well, let me talk about what in the world of AI will be valuable.”

Innovations in Sales with AI

32:26 to 35:44

Learn about Clay's approach to leveraging AI for sales growth and efficiency.

“moves to sell their AI, Clay is trying to use AI to reinvent sales teams altogether.”

AI Safety Regulation and Concerns

35:45 to 39:24

Understand the ongoing debates about AI safety and its implications for society.

“I think the way to think about Clay is it's a self-improving revenue engine.”

Future Scenarios for Clay in AI Landscape

39:25 to 42:00

Discuss the potential future paths for Clay depending on AI developments.

“But I think the way that I would frame it is I'm happy that people are talking and thinking about this.”

The Future of Autonomous Organizations

42:00 to 44:03

Explore the concept of autonomous organizations and the implications of RSI.

“And today that might look like we find a customer that wants one of your new products and we message them or we help one of your reps be more productive with pre-read notes.”

Discussing the Risks of RSI

44:03 to 44:31

Engage in a discussion about the potential risks associated with RSI and AI.

“And what do you put the probability on that it's going to end humanity altogether?”

IPO Update with Kareem Amin

44:31 to 45:05

Get insights on the IPO timing for Clay from CEO Kareem Amin.

“Wellington led your latest round, and it's well known that they take stakes ahead of IPOs.”
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Transcript

Automatic transcript. May contain errors.

0:13Welcome, everyone, to The Information's TITV. My name is Akash Pasricha. It is Monday, September 21st. Today on the show, we have some big developments on the U.S.-China AI dialogue. Our tech and politics reporter, Leo Schwartz, spoke with U.S. Treasury Secretary Scott Besant directly about it. We'll have more on that in just a minute. We'll then get to a conversation that I had with Vinod Khosla. I spoke with him about some ideas that he has for tax reform in the AI era. I also asked him for his thoughts on the current AI safety regulation debate that is going on. And to close out the show, I'm bringing on the co-founder and CEO of Clay.

0:52The company was recently valued a few weeks ago at$7.1 billion. I'm going to talk to him about the AI safety debate going on as well and how it affects enterprise software. It's going to be a great show, so let's get right on into it. President Trump is set to meet with China President Xi Jinping this week, and talks between top government officials already started over the weekend in New York. The Information's tech and politics reporter Leo Schwartz spoke with U.S. Treasury Secretary Scott Besson last night. I want to bring on Leo to share more about that conversation. Leo, welcome back to the show.

1:27It's great to have you here. Thanks for having me. You had a busy weekend, busy Sunday. You were talking with U.S. Treasury Secretary Scott Besson. What did you ask him and what did he tell you? Yes. So yesterday, Scott Besson, along with U.S. Trade Representative Jameson Greer, spoke with a Chinese delegation led by the vice premier on a number of subjects, but AI was top of the agenda. Of course, the biggest debate in Washington has been about a potential slowdown around AI given the pace of model development. Could there be some sort of accord with China that would be safety focused? I asked Besson about this and he actually said that it had been discussed that China and the US have talked about creating what's called the China-US AI dialogue, which will be essentially a notification mechanism where if there's some sort of incident that rises to the national security level.

2:21Both countries can tip each other off to it. And they also said that they would be meeting again on the subject. Did that surprise you? Has this something like this been on the table for a while? It's surprising to the degree that pretty much every senior Trump official, including Trump himself, has said we are not slowing down AI. We cannot halt development, namely because of this race with China. So the fact that there was anything discussed, I think, is a bit surprising. At the same time, if you actually take what Besant said at its word, this isn't really a slowdown in any sense. It's basically just saying if there are any sort of incidents, we'll let each other know about them.

3:01It's really unclear what would happen after that notification. So is this a slowdown? Probably not, but it does seem like a step in the right direction. Right. And of course, that would depend on the implementation of this type of this is an initial discussion. You know, it would very much vary on whether or not the implementation goes and both parties actually have to pick up the phone and make the call in the first place. What about export controls and trade and chips? Did that come up at all? So this has been one of the central questions and sticking points between the U.S. and China, namely the export of advanced U.S.

3:39chips, NVIDIA chips specifically. Specifically, as our reporting has showed recently from our terrific reporters in China, there has been a push to emphasize domestic chip production and domestic chips. So I did ask whether expert controls of U.S. chips were discussed at all. And Jameson Greer, who's the trade representative, said that it was not on the agenda, which, again, is a bit surprising, although that doesn't mean it won't be discussed at the main summit happening this week. Yeah, I mean, I imagine just given the size of that industry, maybe that's something that it's like, we can talk about the AI stuff here.

4:15Let's leave the chips and the trade for the presidents to talk about down the line, maybe. Yeah, we'll see. I mean, I think that will be a major point of contention moving forward. So what about President Trump's social media posts over the weekend? This was another flurry of news. You know, he talked about an AI force of some kind. Can you unpack what it is he said, what we know, what we don't know, what your thoughts are on how this would actually be implemented? Yeah, as you mentioned, it was a busy weekend. I think every weekend is busy now. It already seems like a distant memory. But last Saturday is when Dario Amadei posted his big essay, Pacing the Frontier.

4:55So it seems like Saturday is a day for news now. So Trump announced this idea of an AI force. I was talking with some sources over the weekend. I do think this took everyone by surprise. So as you may imagine, it's still a bit half-baked. But what it seems like is there will be some new AI czar. It will be modeled after the Space Force, which was a major initiative under Trump's first term. What remains unclear is how it overlaps with all of the offices already dealing with AI. Of course, you have Casey, which is the small center under the Commerce Department. And you have the National Cyber Director.

5:34You have all the intelligence agencies. There are lots of groups already dealing with AI. So what the new remit of this AI force will be remains to be seen. But we'll work hard to try to find that out. Yeah. But, I mean, let's just talk about this AI czar. I mean, so David Sachs previously occupied the role of crypto and AI czar. do you have any thoughts on i mean look you can make a prediction right here and right now if you want i don't know who who might be a candidate for that but i mean short of that what type of person do you think he might be looking for for that role well there was a good piece in axios this morning that basically said one of the biggest challenges in appointing a position like this is and especially one that's overseeing a large private sector industry is that you have to make sure that they divest from their holdings or at least don't have conflicts of interest.

6:28So what the Axios B speculated is that maybe it would be a government official who's already essentially gone through that process. So someone like Emil Michael, who's currently at the Department of Defense. I don't know, maybe Dario Gil at Energy. There's a number of people. Shri Ram Krishnan, of course, was David Sachs's number two and recently left the government. Or maybe David Sachs would come back, although I think that that seems unlikely. Yeah, but I mean, to your point, like, this is an imminent issue. And so, you know, it strikes me that they wouldn't want to drag their feet on this is going to take me a month, or two or three to divest my holdings and stuff like that.

7:07So I think that's, that's a good point. uh leo before we let you go so i mean we've talked about uh the the u.s china policy we've talked about the u.s's own view on it what about that regulatory framework the voluntary release uh the voluntary oversight uh we've been waiting for a little more clarity on that is there any sign that there we've getting clarity on that well i i might actually have a light at the end of the tunnel to share, which is there was a FOIA, or Freedom of Information Act lawsuit filed by a nonprofit. And there was a court filing last week that showed that they'd reached some sort of agreement with the federal government to release some of the documents from the framework by October 30th.

7:50So we might actually see those forced to be made public. Of course, they could be heavily redacted. It could be limited release of what the documents are. But it seems like we might finally get those to see the light of day. Great. Well, Leo, I want to thank you for coming on. That is Leo Schwartz, our tech and politics reporter here at The Information. This past Friday, I had the chance to sit down with Vinod Khosla, the founder of Khosla Ventures. Vinod recently wrote an opinion piece for The Information, arguing for tax reform in the AI era. We also talked about his view on AI safety regulation, the role of government.

8:28And given that he also just bought the Seattle Seahawks, I also asked him for his view on prediction markets. Here is that conversation. Vinod, welcome back to TITV. It's great to have you here. Always happy to be here. So Vinod, you wrote this piece, an opinion piece for the information, and it had a number of interesting tax proposals for the AI era. And there was a lot in there. I mean, you talked about eliminating preferential capital gains. You talked about closing loopholes that benefit the wealthy, stuff like carry forward tax losses, stepped up basis for inheritances. And the idea here is that these collections should then go to the people whose jobs will inevitably be replaced by AI.

9:15And one of the forecasts you made is that more than 60 % of human labor will be replaced by AI. And it's a thoughtful piece, and I encourage everyone to read it. The question that I was left with, Vinod, is to what extent do you think in the current political environment these proposals can actually be implemented? Well, the first thing I want to say is if we don't

9:46move fast forward on AI, we will lose that race to other nations, especially China.

9:56Now, one approach to that is protect jobs. And if we protect jobs, AI won't be deployed and we will lose people. The much more important premise I have is we have to protect people, not the jobs they have. because there's so much fear about AI. To get rid of that fear, we need to make sure that people understand they'll be protected, which is very different than protecting jobs that some of the socialists want to do. So what's the solution? We generate enough money to protect the people as they transition from those jobs to other jobs, we can talk about what those other jobs will be. I think for today's jobs, you know, farm workers, assembly line workers, cubicle workers, if I can call them that, maybe two-thirds of them will be replaced by an AI capable of doing that job.

11:01I like to say for 80 % of the jobs, AI will be able to do 80 % of each job. That's 64%. That's the math. That large dislocation will have huge economic benefits as economists measure it and a lot of dislocation and fear as individuals and human beings measure it in the U.S. And so that's what we need to take care of. Then the question is, how do we generate enough money to do that? Because we want to be deficit neutral. We do not want to create more deficits. So the simplest way to do that, I think, and we can talk about the mechanism by which it might happen, is to raise capital gains tax, and it's not to raise it unfairly.

12:02Just make capital gains the same as taxes on labor. If I owe an income, it doesn't matter whether it's$75 ,000 a year, $30 ,000 a year, or$750 ,000 a year. I should be taxed the same way as if I generated the same income from capital gains. 40 % of capital gains is paid by people making more than$10 million a year. Pretty stunning. Then you say what capital gains is doing is redistributing income, except it's doing it upwards instead of downwards towards people who need it. So if we just levelized, all taxes are the same. Doesn't matter whether your income comes from labor or from investment. It's all the same tax rates.

13:01Do you think that the current political environment, I mean, you know, in the current administration and the midterms will happen, you know, whatever happens there, do you think that they would be okay with that? I think politics is stuck. What Trump showed us is with some strong stance running for president, you can get enough people mobilized. So I started with the premise, what approach would appeal to 75 to 100 million voters? It took 75 million people to elect Trump, roughly. and so it has to appeal to that many voters. If the pitch is everybody, independent of their source of income, should pay the same taxes and the rich shouldn't get a tax break by calling it capital gains.

14:01It's just a tax break. And there's other tax breaks we can talk about. We generate roughly$300 billion a year that we can distribute to people who are in transition from their job that's displaced by AI to other jobs, and we don't have to slow down that transition, but we can protect the people. Yes, I think a bold presidential candidate say, I'm going to take this view that rich people with capital gains shouldn't get a better tax rate than ordinary people, And there will be some exceptions. You can make exceptions for first home, primary home sale or farm sales and others. So there's a few things people that need protecting.

14:55So the majority of the people don't pay any capital gains. But the people who make capital gains pay the same rate as normal people do. I think that's very doable as a presidential candidate. And I hope in 2028, some presidential candidate adapts that platform. Can I ask you, have you all these ideas that you laid out? I mean, there are a number of politicians on both sides that have put forth ideas of what taxation in the AI era could look like. And in some cases, it's divided parties, too. Have you presented these ideas to lawmakers behind the scenes? What reactions have they given you about these ideas?

15:42Well, I haven't yet, but I think it's time to do it now as presidential candidates gear up for 2028. Who do you want to talk with? This is an interesting platform because it could appeal to either a moderate Republican or a Democrat, maybe even a socialist Democrat, would say, instead of saying, I'm going to protect workers and stop AI, here's a much better platform because we'll protect the workers, not their jobs. I think this works either on the left or on the right and one geared towards fairness around tax rates and stop the redistribution of income upwards that's going on. The thing to keep in mind is capitalism is by permission of democracy, and democracy could revoke it.

16:38There's strong socialist tendencies among the younger folks in this country. We've seen that, seen lots of surveys and reports that say socialism isn't a bad thing. I think this reverses that trend and it gets people behind, let's have the best AI use, the fastest GDP growth we could possibly imagine, and yet protect people in the dislocation that might cause. Right. But I want to ask you a slightly different question about another facet of government regulation. So we have this dialogue about AI safety, which is currently top of mind for everyone. And I want to put aside for a minute the risks that people think AI could pose.

17:32You've made very clear through your writing, I mean, it has a lot of promise. And I think we can all agree with that as well. My question that I'm more interested to hear from you on is how you think AI should be regulated. Who should do the regulating? What are your thoughts? Well, before I go there, I want to finish the talk we were talking about, which is we levelize capital gains, get rid of breaks that rich people use, like MLPs and step forward bases and a bunch of others. We could generate about$400 billion. At peak unemployment during COVID, we were spending about$250 billion a year on unemployment benefits for people.

18:19and so we can generate enough money to protect people during this transition. But the other thing I think before we get to your safety risks is we haven't shown people why AI is beneficial. It's trivially inexpensive to make free primary care available to every person in the country, probably for a billion dollars a year or a month or less. Think about it. Free primary care to everybody, which should reduce downstream healthcare costs. Free AI tutors to every child in this country. Right. And that would reduce education costs. So we can save money by getting the benefits of people, of AI to people in a tangible way where they can see the benefits of AI.

19:15And we have to do that, which has not been done very well. So benefits, safety through a fund, and I also talk about how we get to a sovereign fund and token taxes in some other ways. We can have a pretty large corpus of money to help people over the longer term. Getting to the safety issue, I would say the following. Any important technology, and AI is important technology, has good uses and bad uses. That's been true. It was true of nuclear. You can have nuclear bombs and nuclear power plants. Biotechnology, you can have bioweapons or you can have medicines that cure people. What's different about AI is previous technologies like nuclear and biotechnology were verifiable when used.

20:17You could verify when a nation like China would use that. That is not possible in AI. And hence, international treaties, which naive people propose, are just out of the question. You can't trust Putin, who's throwing people out of windows, or President Xi, who will use Tiananmen Square people to run over his own people with tanks to abide by any treaty. We know COVID most likely escaped from a lab. I would assign it 90 % probability. They were doing research surreptitiously, I think. So trust is not possible. So treaties are not possible. So it sounds like you think government should be involved.

21:10Well, government should make sure there's enough oversight to ensure safety. That's not saying we should slow down AI development in the West or in the US. China has already declared this AI safety scare is just not a real thing. They've been very derogatory towards the AI safety arguments, so they're going to proceed full bore, treaty or not. And so we have to do that. but that doesn't mean we have to ignore safety. I think oversight boards are very, very possible. You buy a hairdryer at Amazon, how is it safety insured? There's an independent private body called UL and you have the UL stamp on everybody.

22:14Now, I'm not saying that directly translates into AI or the implications are the same. The implications from AI mishaps are much, much larger. But we can have industry bodies, and I do like the idea of shared independent organizations, people like me that have been proposed. I think that's the right direction to explore and detail out further. What do you think of the concerns that these independent bodies, the ones that have been doing some of the investigations and reviews right now, I mean, the big concern is, are they actually independent? Some of them share the same sources of capital in some cases.

23:00Do you think that they are independent enough as is? Look, there's a lot of people in the AI research area who are passionate about AI safety. Yoshif Benjo comes tomorrow. He could be making hundreds of millions of dollars. He's working in a nonprofit in Canada to ensure safety. Can we get a dozen people like that monitoring the direction of this oversight board? Absolutely. Jeff Hinton's spoken about it. So there are enough people where they will be independent and they care about the safety element enough. and they should be on this board and monitoring and developing the process. By the way, it's not a one-time process.

23:53It's going to be continuous iteration on safety. I think of it as those old comic books, mad comics, if you remember Spy vs. Spy. That's how it's going to be between good AI and bad AI. There's many strategies. There's oversight of the models before their release. And so I just want to make sure I understand your perspective. So with these oversight bodies, so do you, should the government have a role explicitly, I mean, you have the independent bodies, but, you know, I'm thinking about, you know, the way the FDA has to approve prescription drugs, right? Right now, it's a voluntary process with the model companies submitting their model for oversight with the government.

24:39Do you think there should be an official government review attached to this independent body? I'm glad you brought up the FDA. There should be consultation not getting the developmental models. That's a very big difference. It's very, very clear. All companies trying to get drugs or clinical trials or other proof are moving from the U.S. to China. Every startup we have in bio wants to do trials in China, not the U.S., because it's so much faster. So governmental bodies slow things down, and we can't let that happen. Not in this area. Look, what's far more dangerous than bad AI or AI gone rogue?

25:37It's strong AI in the hands of China or North Korea or Putin. That's way more dangerous where it's directed to do harm than AI that might accidentally do harm. Let me ask you one question, though. I was texting with someone about this exact issue. And the point that they raise is that, well, having the government involved, one argument is that it might slow things down. But the other argument you can make is that the DOD, I mean, you know, we could develop, the government could sort of do its own research the way it has with other technologies. And, And if the Department of Defense wanted to use its own AI, develop its own AI that is at the cutting edge, it could also do that, you could argue.

26:33I think even government is subject to capture. Take flavored smokes that the FDA just approved. Mr. Macquarie was head of FDA. He didn't approve flavored smokes. He got fired because Trump's buddies wanted those approved. So having government do it is no guarantee of lack of bias. I think having a body that sustains itself, that is independent, and has people who are clearly passionate about this and not captured by a company is the only right way we can do this. and the only rapid way to do this. Right, right. Vinod, we've got a couple minutes left here. Since we had you on last year, you've done a lot of exciting things.

27:32Perhaps one of the most exciting is you took a controlling stake in the Seattle Seahawks, which I know a lot of people are excited about. And I want to ask you about - The Seahawks.

27:46I want to ask you about your view on the world of sports. We're a tech publication. We cover prediction markets pretty closely. Tell me, what is your view on prediction markets now that you're firmly in the world of sports? Well, let me talk about what in the world of AI will be valuable. Because in my piece, I talk about tens of millions of jobs displaced by AI. The good part of the news is there's a huge amount of value attached to human provenance, and that will be a massive job creator. And I talk about it at some length in this piece. Anything that's human will be valued much more than it is today.

28:37Even today, if I have a coffee mug, I can buy it for a dollar or two. if it's handmade in ceramics by a human being, it's going to be worth 10 times as much. And I think you'll see more of the human element show up in products. A long-winded way to say, life sports will always be humans against humans, and the Seahawks are an example of something that is immune to AI disruption. So I do think more human elements will be part of the value that sustains, whether you're making the best banana bread, the best word carving, the best sports, the best athletes, the best competitors. Those are all very human things that make life much richer and better as people lose their assembly line jobs and farm worker jobs.

29:42You know, farm worker and assembly line workers, I don't consider respectable jobs. I think their servitude to survival is the term I like to use. People are only doing it eight hours a day for 40 years or till their back gives out on an assembly line. Right. Because they have to survive and have an income. Well, so I'm with you. And, you know, I think I certainly look, I actually I did not play video games at all growing up. I preferred the in-person experiences much more. And so I agree with you that the I mean, live sports, there's nothing to replace it. But, you know, these questions have very much become top of mind for everyone in tech.

30:30and the sports world broadly. I mean, the NFL has taken a more patient stance to working with predictions markets. It's already worked with sports gambling companies. Let's be clear, since you want to talk about prediction markets. Prediction markets are nothing. 90 % of prediction markets are not about prediction. They're sports gambling by people who, especially younger people. A lot of male, younger males doing gambling on prediction markets. I'm not the one who's going to decide whether that's a good or bad thing. That's up to somebody else. I've never gambled, so I can't be a good judge of that.

31:17Right. And tell me, I mean, were you invested in any prediction markets companies? Are you invested in any? I'm not invested in any prediction market companies or any gambling companies. Right. And tell me just the societal implications of all this. I mean, it's sports gambling, as you said, in one way of thinking about it. But I mean, I do want to ask you, does it concern you, you know, the extent to which these prediction markets have, in some cases, threatened player safety, some of the societal issues that have come about with it. Is that concerning to you? You know, I haven't paid a lot of attention to prediction markets, so I'm probably not qualified to comment.

Read the full transcript

32:06Things that make it easy to do things like gambling are generally not great for society. Right. Right. Well, Vinod, I want to thank you for joining us. It was a great discussion. That is Vinod Khosla, the founder of Khosla Ventures here on TI TV. As every tech company in the world moves to sell their AI, Clay is trying to use AI to reinvent sales teams altogether. Earlier this month, the company raised$150 million at a$7.1 billion valuation. I want to bring on Kareem Amin, co-founder and CEO of Clay for a conversation. Kareem, welcome back to the show. It's great to have you here. Thanks. It's great to be here.

32:48So give us the update on the business. It's been a while since we had you on. I saw the reporting that you guys are targeting 240 million in ARR for this year. You're looking to double it next year. Is that right? Yeah, that's right. And where's all this growth coming? I mean, tell us, what's the big push for you guys these days? I mean, I think the way to think about Clay is really, the way I like to think about it is it's a function that takes in your customers, your market, and also your whole, everything that you're doing in your business and outputs the next best action to grow. And so we've been really growing quickly through our PLG motion.

33:28So we have almost 18 ,000 customers and also our enterprise sales motion is growing really quickly as well. And so what's the next big product push for you guys? I mean, what does the next two years look like? Well, you can think about what we've been doing in three acts. The first one was how do we have the best data about company and people? And so we aggregated all the best data providers. The second part was we need to build the best go-to-market infrastructure. So how do you know who all your customers are, who all the possible universe of your customers could be? Then how do you run deterministic actions on them?

34:02And now we're moving to how do you have agents that do non-deterministic things to grow your company? So we're basically figuring out, taking all this information, how do we make your reps more productive? How do you make your territory planning, for example, automated? Anybody that's coming to your leads, where should they go? Who should they talk to? And actually, we're releasing our first AI worker soon. So that's coming up in our conference in two weeks. So is this like an AI agent that effectively does the initial outreach for you? So maybe you have a conference and you invite 300 people and then the agent will do the outreach.

34:49How far does the agent go in the sales process, I guess? I really want to tell you, but you have to come to Sculpt to find out. Okay. But let's just talk about it. I mean, you know, theoretically, like what's your view on how far the agent should go in the sales process? Like when is the right time to transfer that to a human? I think the thing that happens to sales is that you always need what we call go-to-market alpha. So you need to do something that's different than everybody else. So I think agents should do all of the tasks that are rudimentary. And then there's an element where you inject kind of like the human intuition, which is your understanding of the business, your understanding of the customer that I think differentiates you.

35:34And you can scale that. What I think agents will do is they will scale that, but you'll have to keep changing it to keep getting that output. So the short answer is I think it can do most of the work, but there will always be a moment where you need the interaction with a person directly. Right, right. Karim, I want to ask you, so a couple months ago, you guys um and now it's that you're using open weight models yourselves to power a lot of your tools tell me a little bit about you know how much post training you guys doing to these models have you been finding that the open weight models have been fine as is walk me through a little bit of what it's like on the ground yeah we do we do a bunch of post training I mean we're collecting a lot of information about what people um want what kind of information they want about companies how they're growing their specific business.

36:25And so we take all of that in. I think the way to think about Clay is it's a self-improving revenue engine. So we see who your best customers are, and then we try to get more like them. And so a lot of the post-training is in every industry, what are people doing to find customers and how can we get them to that information faster? But open-weight models have been super helpful, and we're kind of agnostic about what models we use, we let the customers choose. And now we've also developed our own internal router that helps you do that based on what you're trying to optimize. Is it cost? Is it information?

37:01Is it speed or quality of information? Right. And so I saw some tweets over the past couple of days talking about sort of the proportion of token use that is going to open-weight models versus closed-source models. I mean, that's the big chart that everyone seems to be watching. So internally for you guys, for the tokens that your customers are using, what is the proportion of open weight right now? I think it's growing quickly. But I wonder, I mean, I'm curious what the question behind the question there is, because that's not something that we, for example, track really deeply. Right. Kind of like it's changing all the time.

37:42And for us, what we want to really do is to say, how do we get you to the best information and the cheapest way possible? So I would say that that proportion is growing, but we're always tweaking it and optimizing it so that you get the answer that you need. I mean, the question behind the question for me is really just what is the, you know, the world three years from now, right? Are we looking at a world where it's 75 % open weight or is it still sub 50, you know, sub 30? Like I'm sort of trying to get to what you think the proportion could be for your company down the line. I think the way we're doing it right now, I think more of those actions are moving to open weight models when we find that there, and this is actually a general thing that I'm looking at as well, is if something is repeatable, can we write code to do that so that it doesn't have to go through models and do your paying inference?

38:36And then with our router, we're trying to make sure that we're moving the information to the model that's correct for that level of question or kind of like query. And so for us, we're constantly trying to do that to optimize costs for both us and for customers. So I think it's right. But you won't say if it's over or under 50. Not yet. Got it. Okay, what about all the AI safety regulation debate that's going on right now? I mean, what's your view? And I'm asking you, you're a thoughtful guy. You know, I know you post a lot of thoughtful essays on this and other things. I mean, you must have been thinking about pacing the frontier and how it could affect enterprise software.

39:21What's your view? Yeah, no, I appreciate that. I don't have some deep insights here because I'm not kind of like building frontier models. It's more from the consumption side. But I think the way that I would frame it is I'm happy that people are talking and thinking about this. And I have friends who are going deep on AI safety. And I think it's important to take it seriously. And at the same time, if I look at where we are today, I think I'm most worried about cybersecurity threats or actors using the models in ways that are disruptive. but I think for me I'm not spending a lot of time thinking about recursive self-improvement or takeoff at the moment one because I don't see it and you can say you should look at the exponential curve and the scaling laws first of all they're not scaling laws, they're observational to me my instinct is we still don't what do you mean by that?

40:24I just mean similar to Moore's law it's not a law. It's something that we've been observing and seeing that the more information we put in, this is what we get out. But we don't fully understand why that's happening. We don't fully understand where it tapers off. And so we can't just assume that it goes on forever. We saw that with CPUs. They don't go above a certain number of gigahertz. It's too hot. So there may be natural limitations here. And so for me, running the business, I can't just assume that that's going to happen a year from now. I also need to plan on possibilities where that doesn't happen.

41:00So I think that's the hard part about this particular moment is you need to plan both for what if things continue in a linear way and things improve a little bit, but we don't have records of self-improvement. And then we also have to worry about what if it does. Can you walk me through what Clay, in those two futures that you talked about, This is, I'm thinking back to my consulting days, this scenario planning, you know, we used to do this all the time. There's four different worlds you could live in. So in those two worlds that you live in, like what does Clay look like in a world where there is RSI?

41:37And then what is the more status quo version of Clay where that doesn't happen? Yeah, I think on the status quo side, if intelligent, so the reason I frame it as Clay helps you predict the next best action to grow your business is the same way LLMs predict the next best token. and they have created a tremendous amount of value through that, we help you figure out what's the next best action to grow. And today that might look like we find a customer that wants one of your new products and we message them or we help one of your reps be more productive with pre-read notes. But in the future, you can think next best action is what is the product that you should build next, right?

42:16Or a customer requested these features. Can we build them? Can we roll them out? automatically. Can we interview those customers, see if it worked or not? Can we change it and then return? So it's a much more autonomous organization. It's almost like a pilot for building your company. What about the RSI version? This is where it gets exciting. I think RSI is, as you can imagine, really hard to fully consider. But I think in the case where there's RSI, I think there will be really maybe one winner. I think in actually in both cases, there'll be like one winner per vertical. But I think in RSI, you have to also see if you get really truly intelligence across all domains.

43:05I'll give you an example. If you're a Nobel laureate in physics, that doesn't mean that you're a great general, even as a human being, So I think we have to decide, does RSI mean that we are really, really good at AI research and we can write code and find the next thing and it'll become amazing at math and medicine and things that are verifiable, but not things like who is your best customer and why do they want to buy your product? So I think that companies will require way fewer people in that scenario. And I think there will be specialized, you know, domains where you're almost like consultants with a brain that is working towards kind of self-improving this particular domain.

43:46I think sales is one where it's a human activity or really just selling to another person. So unless it's machines selling to machines, I still think that there's going to be room for people who deeply understand why they're selling what they're selling and what the human need is that they're filling. Right. And what do you put the probability on that it's going to end humanity altogether? What is it that I want the probability to be or what is it that I believe it actually is? Let's go through both scenarios. Anyway. Yeah, yeah. Answer the question. Yeah, answer the question. I think it's, you know, like some of the people who are saying 10%, it was just really hard to know.

44:27I don't think about it that often. Right. Well, and last thing I should say, Kareem, something you must be thinking about. Wellington led your latest round, and it's well known that they take stakes ahead of IPOs. What's the update on IPO timing for Clay? Not anytime soon, but we are always kind of preparing everything so that we have all of our books ready. But it's not on our mind. Great. Kareem, I want to thank you for coming on. That is Kareem Amin, co-founder and CEO of Clay here on TIT. That does it for today's show. A reminder, we are on this stream Monday through Friday at 10 a.m. Pacific, 1 p.m.

45:09Eastern. If you can't make it then, episodes are available on theinformation.com, on our YouTube channel, or wherever you get your podcasts. Make sure to follow us on social media, on X, on Instagram, on TikTok, and on LinkedIn. I am already excited for our next show tomorrow. Have a great rest of your Monday. Bye-bye for now.

From the publisher

The Information’s Tech and Politics Reporter Leo Schwartz talks with TITV Host Akash Pasricha about US-China AI dialogue and the ‘AI Force’. We also talk with Khosla Ventures Founder Vinod Khosla about AI tax reform and safety regulation, and we get into AI sales agents and scaling limits with Clay Co-Founder and CEO Kareem Amin.


Articles discussed on this episode: 

https://www.theinformation.com/articles/refounding-america-tax-code-needs-change-age-ai

https://www.theinformation.com/briefings/u-s-china-discussed-ai-safety-system-bessent-says


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Chapters:

00:00 - Introduction

01:13 - US-China AI Dialog & Trump's AI Force with Leo Schwartz

09:12 - Vinod Khosla on AI Tax Reform & Safety

33:26 - Clay CEO Kareem Amin on AI Sales & Agents


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