Software Stocks Implode, Claude's Hit List, State of the Union Reactions, Trump's Tariff Pivot

All right, everybody. Welcome back to. your favorite podcast, the AllIn. podcast. Today we have a conspiracy. corner episode for you. We're going to. go over the 9/11 inside job. We're going. over flat earth, JFK assassination. It's. going to be all conspiracy all the time. after our amazing blockbuster episode. during Ski Week. We're going all. conspiracy here. Our guest today, Alex. Jones. >> How many views did it get? Nine views. I. mean, it's tough when you have one out.

of four besties. It doesn't Michael. Tracy is on standby. >> Not true. I can carry an episode for at. least 400,000 views. >> I mean, you might. You might. I like. your Hey, for people who don't know, Jimoth has his own YouTube channel. He's. got his escape hatch for when this train. wreck burns to the ground. He started. his own YouTube channel. He's hedging. his bets. Freyberg's working on his solo. project. Everybody's doing solo project. The band's got a lot of solo projects. >> The Beatles are experimenting. The. Beatles. >> They're experimenting. We had a little. Yokoono situation going on here. You. know what the number one topic for this.

show was by the all-in AI bot sacks. >> What's up? >> The number one was Daario versus Hegs, the uh Department of War versus. anthropic was the number one topic. selected by our AI bot as a programming. note for folks. That decision will be. made end of the day Friday when this. podcast comes out. So, we will talk. about it next week. But, let's get to. work. We've got a full docket. The. clawed kill list has expanded and an AI. fanfiction substack tanked your 401k on. Monday. Let's get into it. Anthropics.

generational run continues. They're now. three for three in tanking different. market sectors in February. Congratulations. This is like they they. took the the mantle from Brad Gersonner. uh tanking the market. >> The Enthropic list. >> It is February 3rd. Anthropic announces, hey, we got a legal plugin for Claude. Co-work, Thompson Reuters, Lexus, Nexus, Legal Zoom, all down at least 10% since. February 3rd. Then on February 20th, Claude Code Security is announced in a.

limited research preview. Stocks tank. again. Crowd Strike, Cloud for Octa, all. down. Then February 23rd, Anthropic. announces Claude can modernize Cobalt. databases. If you don't know Cobalt, that's the like oldest coding language. in the world. That's where Sachs learned. code when he was in college in the 70s. It's used for banking, payroll, government, >> healthare. >> Healthcare runs 95% of ATMs in the US. and it powers social security payments. 85% of all coal code runs on IBM.

machines. So IBM decided they would tank. 13% on Monday, their worst day since. 2000. 31 billion in market cap losses. So let's stop here before I get into the. fanfiction piece. What's your take here of what's. happening in the market, Shmath? Is this. simply people are looking for an excuse. to trim their positions because things. have been top ticking all-time highs and. people are just looking for an excuse or. is this reality? Is this the go forward.

reality that AI is going to compress. these kind of stocks because it solves a. lot of problems? >> I'm going to give you two explanations. I don't know what percentage I would. allocate. across the two, but I think one is. tactical and one is much more strategic, but I think both are happening. The. tactical one is that we are at a moment. in time where a lot of the smart money. hedge funds are starting to massively.

degross. And what that means is they're. trimming a lot of positions and they're. just taking on a lot less risk. Why? I. don't exactly know. It could be. motivated by the second thing that I'm. going to talk about. But the point is in. a deg. risk and making your position sizes much. smaller. So the longs become less long, the shorts become less short and you. just shrink. And so there's just general.

downward pressure. That is a clear. behavior right now. But I think the. structural change is the more important. one. And this is sort of what I talked. about this morning. In a normal. functioning market, what we are always debating is when a. set of cash flows go from becoming. highly confident to less highly. confident. It's a when conversation. So. when will Coca-Cola's cash flows be.

impacted? When will Eli Lily's cash. flows be impacted? When will Meta's cash. flows be impacted? And the answer to the. when. gets translated by the public markets. into three things. Your price to. earnings multiple where if you invert. that number what that is equivalent to. is the yield on the money that you get. Okay. So if you you know 20 times PE. that's a 5% yield. The second is a revenue multiple. And.

the third is what's called your weighted. average cost of capital. Which is to. say, if you look at the next 20 to 30. years of earnings and you want to figure. out what that is worth today, you have to discount all of these back. and you have to assume. a percentage of interest effectively. that it takes to get there. And the. basic math of this is that when you have. a high whack, it's called, you're. massively discounting these cash flows. When you have a low whack, you're.

assuming that these things are very. durable. Okay. So, what is happening? We used to debate when this is no longer. a when moment. The market is very much. in an if mode. Are these cash flows durable at all? >> Could they fall off a cliff in year. three? Is there some AI model that's. going to come around the corner and. obliterate this business without me. knowing it? And because they've shifted. into this if mindset,

your risk becomes totally different. You. have this event risk that you don't know. how to price. And whenever the market. shifts into that mode, what you see are. that the holders of those equities want. a massive margin of safety. What does. that mean? They have to take pees way. down. If you used to trade at 40, you. should trade at 20. If you used to trade. at 20, you should trade at 10. They take revenue multiples down. You. used to trade at 10 times revenue. Now. you're going to trade it three times.

You take the whack way up. Used to be a. 6% discounted weighted average cost of. capital. You know what? I'm taking you. to 12 or 13. That's the market's way of. saying, I'm now debating. if these things will even exist and so I. need to give myself a huge buffer to own. this stuff. >> That's what's happening right now. It. has a lot of ripple effects that we can. talk about. Freeberg and I have talked. about this a lot. The most obvious. impact is how these tech companies.

recruit and retain talent because the. biggest thing that it starts to eat into. are the cash flows of a business which. really directly tied to stockbased comp. and all this other stuff. But let me. just stop there. So we are we have moved. away from a when. >> to now an if and I think that that is a. very smart question to be asking. The. answer may be from any of these. companies that they will survive, but we. don't know how long. And until that. becomes clearer, you have to give. yourself room to be wrong. >> You said when, then if. Did you mean if?

>> No, no, no. >> To when? >> We we've always debated when. When will. these cash flows disappear? Now it's. like. >> will they even exist? >> Got it. Okay. So the second part of the. story Friedberg and Sachs is that a. Substack post fanfiction. uh taking place in the fictional 2028 uh. global intelligence crisis went mega. viral. 28 million views on X. It was. posted Sunday night. It made the market. tank on Monday. In this fictional.

Substack post, the author said there's. going to be essentially a death spiral. that happens because of AI. How does. that work? Well, first, companies. embrace AI. Everything goes right. They're able to cut staff. Their margins. go up, similar to how Amazon has, you. know, trimmed their white collar staff. Then they're so successful at this that. they lose their customer base because. consumers don't have discretionary. funding to spend. Then it creates a. death spiral where the companies keep.

deploying AI to try to hit the margins, cutting staff, and the entire economy. collapses. Dr. Doom level stuff. Unemployment's at 10%, S&P goes down. from 38% highs. After this piece came. out which speculated that agents would. get rid of all the 3% interchange fees. and move everybody to settle. transactions on stable coins. All the. financial stocks got hit on Monday. Amex. down 8%, Capital 1 down 8%, Mastercard. 6%, Visa 4%, yada yada. Finally, this. piece got a lot of push back. There was.

a silly piece in it or a section in it. where they said AI agents would vibe. code their way to displacing Door Dash. And uh that's kind of silly if anybody's. run a networkbased business knows. Sax, I assume you read this piece or at least. saw the fallout from it. What's your. take? And then we'll go to you Freeberg. >> Yeah. Well, I I know that this uh. Catrini article got passed around like a. join at a Grateful Dead concert, but I'm. starting to question how legitimately.

viral it really was. There's some. information that just came out that the. attribution of the article has been. amended, meaning the co-authors have. been amended to include a short fund. that was shorting some of the names. mentioned in the article. This is. according to another post that just came. out. According to this post, the. authorship attribution attributed to. market moving was changed after. publication of the co-author is the. managing partner of a $262 million SEC.

registered hedge fund who confirmed. short positions in the companies the. report named. So I think that's point. number one is I just wonder did this. article truly go viral or did the. authors do anything to kind of amplify. it and we just don't know the answer to. that question. But regardless of that, let's just take the arguments on their. face. I think one of the best responses. to it was by another writer named Derek. Thompson who wrote a article called. Nobody Knows Anything, which I think is.

a reference to a famous take by. legendary Hollywood writer William. Goldman. >> Yeah. >> In any event, what the article says is. no one really knows what's going to. happen with AI in two years, never mind. 20 years. And so they resort to science. fiction writing masquerading as. analysis. And the author here, Derek. Thompson, says that the conversation. about AI is really just a marketplace of. competing science fiction narratives. And he says, "That's not to say I think. the technology is a parlor trick, but.

rather that the level of uncertainty is. so high and the quality and supply of. real world real-time information about. AI's macroeconomic effects so poultry. that very serious conversations about AI. are often more literary than genuinely. analytical." So in other words, what. he's saying is, look, this guy is. writing very compelling science fiction, but there's no real analytics behind it. to defend it. And yes, this could. happen. Here's a prediction market on. whether people believe the Catrini.

report's going to come true. Something. like 12% believe the Catrini scenario is. going to happen. But the truth is, no. one really knows. I mean, there's other. dueling science fiction narratives where. AI is going to create such a world of. abundance that we're not going to need. for anything. And just by the way, Derek. Thompson is one of the abundance guys. with Ezra Klein. >> This is why the market's getting. whacked. I think that you're right, Saxs, nobody knows. So, if you can get. 5% for owning government bonds, why are. we taking excessive risk here?

>> Yeah. Let me just build on your point. about SAS. So the reason why there's so. much uncertainty around SAS is that SAS. used to be such a easily modeled and. predictable category and you know I saw. as a VC we saw the same story play out. across many many different categories of. software. You'd have this initial period. where there'd be this experimentation. phase you have a bunch of different. products that come to market. There'd be. a battle and then the market would. eventually settle and they'd be a. category leader and they would capture. most of the market share and the vast.

majority of the market capitalization. and they would have very very. predictable metrics. It was very easy to. grade a SAS business. You look at ARR, you say annually recurring revenue. You. look at the net dollar retention you. want to see depending on the phase. >> RPO RPO revenue under performance. >> And so you know these things began to be. seen as like a annuity with growth right. because. >> they were rock solid. Yeah. >> Yeah. Because a good net dollar. retention would be something like 120%. Which means that your sort of cohort of.

existing customers on balance would all. renew the next year and actually they. would renew at 120% of the previous. year's contract values. And the reason. you got that extra 20% is they would buy. more seats or there'd be additional. products or features they would upsell. It got to be very very predictable. And. so when people were buying software. companies at I don't know 13 times ARR, they thought they were buying a growth. annuity. And now all of a sudden you got. to factor into that. Well, wait a. second. What if AI disrupts the whole.

market? What if it doesn't eliminate? I. don't think AI is going to get rid of. Salesforce, but it could eat into their. growth opportunity. We just don't know. what if it changes the pricing model. I. mean, it just creates a whole lot of. unknowns. And I I actually don't believe. in the Catrini or or the doomer take on. this, but I can see why the market would. feel this level of uncertainty. >> 100%. >> Given how predictable a category SAS. used to be just say a year ago.

>> Yeah. Well, chaos is a ladder, Freeberg, and this means opportunity. So, if we. look at this and SAS has headwinds, then. is there a winner? Is open source the. winner? Or is this all deflationary in. your mind, Freeberg? And we just make. less money and the earnings of these. companies get compressed, the size of. them gets compressed. How do you think. about it? I think fundamentally if. you're driving productivity with AI, you're driving leverage on human time.

and leverage on capital. The question is how quickly can you. drive that up? And that's a function of. how much consumption there is, how much. capacity there is for consumption. So on. the one hand, I'll just speak broadly. I. think like humans have this desire to. improve their livelihoods by roughly 10%. every year. Meaning like your income and. your ability to purchase stuff that's. new relative to where you were last year. has to go up by 10% for you to be happy. If it's less than 10%, you're probably. unhappy.

>> Is that that's your anecdote or that's. like. >> that's just like an anecdote. Like I. think I think that's sort of like my. rubric for thinking about like why are. people unhappy? You're happy. So if your. earnings are the same but things are. getting more expensive, you're not. happy. If your earnings go up by 10% and. things stay the same price, you got 10%. more than you had last year. You're. you're going to be happy. I just think. like all humans are driven by this need. to consume more each year than they did. last year. So I think for me that's like. the lower limit on consumptive capacity. in the world.

The question that we're now facing which. we've never faced in human history. before is there a upper limit. >> on consumptive capacity because AI. creates such a profound shift in. productivity and in leverage that. normally you would say hey when we get a. new tool or we get new leverage in a. system we build a new technology we can. make more with less. Therefore, everyone. gets access to more things for the same. price or the cost of things that they. consume come down by a certain price.

But there may be a situation now where. the ability to make stuff exceeds the. capacity to consume stuff. And that is. something that I don't think we've faced. before. And I think that's sort of where. a lot of the models start to break. Just. general economic models, just general. productivity models, and general social. models. And this goes to the point about. like what is everyone going to do? In. the same way that I think we've argued. that maybe SAS was a transitory business. phenomenon that existed between the.

foundation of the internet and the era. of AI. It may be the case that knowledge. work in general is also a transitory. phenomenon that only existed between the. foundation of the computer or computing. tools and the existence of AI generally. speaking. And if all of that goes away. very quickly and all of those people can. be redistributed and recast into doing. other higher level, more creative. things, their productivity goes up by. 100x.

Is there really a consumer on the other. end of all of that productivity? Is. there really enough consumptive. capacity? And I think that's the. profound question that we all face. I. don't think that there's any limit. >> Is that your way of saying that SAS goes. to zero or that's your way of saying. these companies go to zero? I'm just. saying knowledge work in general like. the the like what is the implication. >> is this just another dueling science. fiction take I mean or what's your. evidence for this. >> I think it's fine to have a sci-fi take.

intuition I think is data because I can. show you some data that I think. contradicts what you're saying. >> and I have some firstirhand sort of. >> in the sense that there's more leverage. stacks that people are able to actually. >> well Jake I want to hear what you have. to say because I know you're. experimenting with this but let me just. show you a few data points real quick um. because I think this is relevant. So. we're really talking about the. disruption caused by coding assistance, right? This is like the first big killer. app of AI. I mean I guess after writing. and research for chat bots and we'll.

have agents later, but really it's all. about coding assistance, right? And the. ability to more easily create code. That's what's creating the disruption to. the SAS category. Well, so let's just. focus on the data we see right now. around that. And there are a lot of. people who are pointing this out that. Enthropic right now has a job listing. for a software engineer on their website. right now for $570,000. And a lot of people are kind of pointing. out, okay, so wait, so what Anthropic is.

saying is they're still trying to hire. software engineers at a very high wage, but somehow they think these jobs are. going to be eliminated. >> Timoth might apply for that job. is. >> Yeah. Austerity measures sounds pretty. good to me. >> That's a lot of money. >> Jim might take that job and then just. have AI do it for him. >> No, I'm I'm I'm worried like I hope my. 8090 team doesn't see that offer. That's. a. >> that's a big number. >> Our equity is way higher, but our. salaries are not that high. I mean, you. look you put these things together, it's. like that equity is money good. The.

reality is like those guys are doing 5. to6 billion structured secondaries every. year now or they're starting which means. that they will. That's like cash. compensation. So for for me to match. that, I need to be 3x higher than that. >> Right? And I think a lot of people are. kind of pointing out, well, this is a. contradiction. Anthropic doesn't really. seem to be practicing what they're. preaching if they're paying enormous. amounts still for software engineers. even as they claim they're obsoleting. the entire category. Something doesn't. quite add up. Citadel Securities did a. new report that rebutts that Catrini.

report and they show a couple of stats. here which I think are really. interesting. So, job postings for. software engineers are rapidly rising. They're showing, I think it was roughly. a 10% year-over-year increase in the. demand for software engineers. On a. related note, they also show that. company formation is also rapidly. expanding and that may have something to. do with AI making it easier to start a. business or to get leverage to your.

point, Freeberg. So look, there's a. couple of competing effects going on. here. And I think Aaron Levy had a. really good explanation of why you might. see something very counterintuitive. happening. And again, it all goes back. to Jeban's paradox. But what Aaron says. is that when you lower the cost of. something that was previously supply. constrained, demand for that thing goes. up. Software engineering is just one of. the easiest examples to contemplate, but. there are going to be many other jobs. like that. But think about software. engineering. Even among startups in.

Silicon Valley, which I think are. probably some of the most attractive. places for software engineers to work, there's always been a chronic shortage. of them. Then you've got the Fortune 500. companies, non- tech companies, which. have always had an even harder time. hiring technical talent. So, you have. this massive unfilled need for software. engineers across the entire economy. Now, you're going to be able to get a. lot more leverage out of software. engineers. It doesn't mean they're going. to get fired. It just means that now.

maybe you can have a lot more 10x. software engineers and they're getting. those jobs are now being spread. throughout the whole economy. You know, I also think just to put some numbers on. this, I think the cost structure of the. average Fortune 500 business is. something like 5% it includes all of. their IT, not just their software. You. know, what should it be? What should the. percentage of software be in an. enterprise cost structure? Elon. describes companies as cybernetic.

organisms that are part software, part. human. >> If you think about the current Fortune. 500 company being one or two percent. software, maybe they should be 50%. software. I think what Aaron is saying. here is the market for software and. software engineers was so constrained by. the lack of availability. that even if we 10x or 100x the. productivity of software engineers, the. demand will be there to absorb this new. supply. And so it could lead to this. explosion in productivity without the. massive job loss.

>> I think you're right. I think the the. thing that I would look at is I would. expect OPEX as a percentage of revenue. to fall off of a cliff but within that. opex the percentage of it that you. allocate to technology and technology. related things probably goes way way up. than what it is today. Okay, Jason, the. batch of people that are applying for. launch, has SAS stopped? Has software stopped? >> It's AI first companies obviously and. people. >> are they rebuilding traditional SAS.

tools just cheaper? >> Basically, everybody's building the. great, you know, as we talked about at. the all-in summit like some of these. companies are trying to build the best. pilot in the world or Whimo's trying to. build the best driver in the world. People are now trying to build the best. SDR in the world, the best salesperson, the best executive coach. And so we have. been like obsessed with claude co-work, but mainly OpenClaw. And so what we did. was and and I think it's not developers. that are going to do all this work, it's.

knowledge workers. So we had we have 20. people in our firm. We had 15 of them. come in this weekend and they all got. trained over like six or seven hours had. to have their own openclaw agent and we. started building it. Every piece of. software that we wanted to buy or build. over the last 10 years that we never got. to my people are building in the last 30. days. As an example, you know, when. you're selling ads for a podcast, you. want to check all the other podcasts and. what advertisers they have. We trained.

an agent to go take the top 100. podcasts, look through the transcripts, figure out who the advertisers are, check those advertisers in pipe drive, tell us when the last time we contacted. them and put it into the sales room. That was an SDR job that we wanted to. fill and software we wanted to build. Then we wanted people to have. >> hold on that was a that was a human that. you were paying money and now you've. replaced with software or that human. still exists but now they just do it in. a better way. >> Redeploying that human. We had a human. doing it. we're going to redeploy them. to do other things and the consistency.

of this chimoth and the accuracy and. then it's doing it all night long. So we. have like seven of these agents in these. kind of roles. The next piece we did was. we gave my agent which is like the. ultron root access to Gmail, calendar, zoom, notion, slack. And what it's doing. is it's giving each person here's what. you got done this week with their. manager. Here's the emails you sent. Here's the meetings you took. Here's the. contacts. here the threads you were. involved in and then it's helping manage. those people and so we are.

>> okay but all that all that to me says. you Jason despite all your dumerism. seems like you're growing and you're. going to be hiring more people and. you're more productive am I getting this. wrong. >> I'm not dumerous what I think's going to. happen in this position is. >> but you're growing and you're going to. be hiring more people. >> no no we're not going to add more people. definitely not adding people we have are. becoming 10 or 20% more efficient every. week Because the software we would have. paid for or built from another vendor if. we had the time or we wanted to build.

custom software we had 10 engineers it's. being built by our openclaw agents. As. an example when we make clips for this. podcast other podcasts we have it go and. look at like uh this weekend startups. episode from 10 years tell us the three. best moments and it makes the clip it. puts the subtitles on it and then it. puts the clip into the Slack room. That. was something that was going to be a. full-time job. So, we're getting 10 20%. more efficient. Then I started doing it. at home. So, I had to take our. Instacart, pull out the last 10 orders.

we did, and then tell us what we order. most of time. And then it's going to. automatically build a car for us. Every. single knowledge work job is being. automated right now. And you can take it. and if you're a business process head, where you know how to like do a business. process and you can structure it and. write it with an agent, it'll just run. it every day, every week. We did another. agent, how do you make better. thumbnails? And we said, every Saturday. in your skills, so when you build an. open claw, it has like a soul file and.

it has a skills file. In the skills. file, we told it sax every week go out. and look for people discussing how to. make better thumbnails on YouTube, how. to make better titles. It found this. week, Chimath, somebody at Mr. Beast. company talk about how they're using. heat maps. It was an article I would. have never known. It added it to its. skill and now whenever we post a. thumbnail, it tell tells us based on its. skill that it refineses every week how. to make that thumbnail better. And it's.

starting to make the thumbnails. This is. becoming recursive. So you keep the same. number of people, but they get 10 or 20%. more efficient. I don't know what this. means for the larger economy. All I know. is it's the most exciting time I've had. online since the web came out, since the. internet came out. It is so much fun to. automate all this stuff. The big. question that I am thinking about that I. haven't gotten a good answer about so I. don't I don't know what you guys think. is. all these businesses are going to need. to batten down the hatches and give.

themselves room to figure this all out. right like if you take Sax's point like. if you take your point Jal which is the. young nimble companies like yours are. going to be rapidly experimenting the. bigger larger companies are going to. slowly onboard themselves to start. experimenting All of that means we're. going to get much clearer answers to all. of this. But what it also means is that. you're going to have to have time so. that you can figure this all out. >> And. if you want to buy yourself time, you're.

going to need a ton of cash. And if. you're going to think about saving cash, the one place tech companies literally. incinerate cash is how they do. compensation. And so I kind of think like at some. point the next shoe will drop and all of. these tech companies have to really look. at stockbased comp because they. literally incinerate most if not all of. their free cash flow fighting the. delilution from stockbased compensation. So if you want five or six years to just. be in the arena on the field figuring.

this out, you're going to want to kind. of be very cash flow generative and. really conservative in how you spend. your money. Yeah, Saxs, the people who. embrace this, I think, become five or. ten times more valuable than the people. who are not. That's where I think the. opportunity in the economy is. So, unless you think humanity is going to. run out of problems to solve, I think. it's going to be boom. It's going to be. boom town. And I think people are going. to start more companies because the the. barrier to start a company is no longer. three or four million dollars. You can. just have two or three people and you.

start setting up these agents and man. you can. >> make software, you can do sales, you can. do PR, everything is getting faster and. faster and faster. So the time between. like conceiving of a product and. publishing it and finding a developer, you don't even need a developer, you can. just publish software, the the wakeup. moment for me was we were talking to our. agent about, hey, we want to get this. functionality out of Slack. And it's. like, "Yeah, Slack doesn't have that, but have you considered Matterpost?" I'm.

like, "What's Matter Post?" Like, "Oh, it's an open source project. I can spin. it up this weekend. Export your Slack. instance and put it there." And I was. like, "Oh, don't do that. We're only. spending 6K a year on Slack or 10K a. year." But the software is building CRM. systems for us. It's building agents for. us, and it wants to just build all the. software stack. So you could when you. renegotiate with Slack or HubSpot or. whatever company you're working with, you're going to be able to say to them, hey, we could roll our own and uh when.

you want to upsell us on this latest. thing like you talked about SAS, upselling is such a big part of SAS. You're like, I can actually build that. software myself internally. I don't need. you to do it. >> Ryan Peterson just posts on XC Claude. for legal seems to work just as well as. Harvey by the way. Now it's the SAS. apocalypse is going after private. companies now too. >> Well, I think for a while now there has. been a question of which layer of the. stack is going to capture all the value. >> So is it going to be the model companies.

or could it be the applications that are. built on top of the models or you know. if there's a lot of competition at both. those layers of the stack did the chip. companies get it all? I think it's a. unclear question but. >> totally. >> yeah I think you know for any given. vertical application you do have to. defend why you think your value prop. will be sustainable as the underlying. foundation models get better themselves. >> and it's open source like this week we. put up Kimmy 2.5 it can do about 80 85%.

of the jobs so we lowered our token. bills massively when we stood that up. all right listen this is TBD We got a. lot more to think about on this topic. >> Just on this point of a lot of these. debates about AI are dueling science. fiction narratives. I just think that. the doomer narratives are inherently. more appealing to people. I mean, I. think it's partly just you look at most. sci-fi movies are dystopian, not. utopian. In addition to that, I think we. have a bunch of heristic biases in favor.

of the dumer narrative. So, one of them. is the scene versus the unseen. It's a. lot easier to see the jobs that already. exist that could be obsoleted than it is. to imagine the new jobs and the new. business models that haven't been. created yet. And that will likely take. some great innovator or a genius to. think of in order to create. So we have. that huge heristic bias of not being. able to see the creation that's coming. It takes way less creativity to think. about the potential destruction. And.

then finally I think you know the other. heristic is just the whole fixed pie. fallacy. Most people do tend to think of. the economy as a fixed pie. This is why. you see so much anger against you know. millionaires and billionaires is because. of this idea that if someone's getting. rich it must be at the expense of. someone else. That's not actually the. case. The economy itself could be. growing larger as a result of someone. inventing something new that increases. production. A really good line from. another article that was written just a. couple weeks ago was the economy is not.

a a pie, it's a garden and technology is. rain. So again, you know, all of this. technological innovation is going to. increase the growth rate of the garden. It's not a fixed pie. And just because. you see an expansion and productivity in. one part of the economy does not mean. that you're going to see job loss in. another part of the economy. >> Yeah. I think the job people are not. seeing but I'm seeing right now is the. person who creates agents, manages them. and is the maestro of the agents. The.

person who can take the business. process, explain it and train the agent. to do it. And there are certain people. in business who are just really good at. operations. You were one of them Sachs. running companies and like that person. who can fire up an agent, train the. agent and figure out how to manage them. and figure out how to increase. >> with any new technology. Great job. and. it's not a developer. >> Look, with any new technology, there's. always a huge change management aspect. with enterprises because it's hard for. them to adapt and change. And the people.

in the organization who can lead that. change management are the ones who are. going to create an amazing career. opportunity for themselves. But it's. hard to do and that's going to slow down. the rate of change just the amount of. inertia in the economy. And also one. other constraint is going to be that at. some point here we may be token. constrained, right? I mean, we may not. have enough energy like we've talked. about, even though the chips are getting. so much better, that tokens per second, tokens per watt, and tokens per dollar. are all increasing very fast, but we're.

still going to probably be constrained. in the next couple of years on some. dimension, whether it's land, power, shell, or just energy production or. maybe chip production. There are real. world constraints on just how fast we. can scale the infrastructure and that. will mean that these like hyper utopian. or hyperdystopian narratives will be. wrong. I don't think there's time in the. next few years for the whole economy to. change in the way that the extremes. would present. >> I think you're right. I think you're. going to see a 10xing in.

the demand for tokens, but I also think. you're going to see a 90% price. reduction in the cost of an output token. probably by the end of this year. So, I. think that to your point, like it's it's. going to just create an enormous upswell. of demand because we're going to be able. to cut the prices of an output token so. dramatically. And I think by the way. >> that discussion we had Shamath last week. when we talked about co the tokens. outpacing the employee salary and just. where are these tokens all going to come.

from that was our most viewed clip or. one of the most viewed clips in the. history of this podcast. So people are. actually really focused on this. >> I had my team at 89 we we redid our cost. model and now we have that as a line. item. When we think about fully burdened. cost of employees, we now factor that in. because we're we're at a place where. some of our engineers are just racking. up ginormous bills and then separately. just general runs that we do for general. purpose stuff that we need to just run.

our product is it's so expensive. So I. am waiting with baited breath for what. Zach said which is like we need an. explosion in the capacity that's. available because I do think that the. the silicon solutions are coming that. will cut the cost but we need a large. block of land power shell ready to then. turn all of this stuff on so that we can. actually take advantage of it. >> Rumors the new Mac Studio is coming will. have an M5 chip in it and will be. language model ready. So that's the.

rumor is that they're building it for. models. So that could be an incredible. turn of events. Everybody's desktop. running the local model. Sax, you want. to have the final word here? Uh Free or. Freeberg before we. >> just to go back to what Jamath was. saying there. I mean, you've got. political forces that want to stop the. construction of all data centers in the. United States. So. >> if that gains steam, then that's going. to be a huge constraint on any change. whatsoever. >> Can I tee this up for you, Jal? So I I. went back this weekend. and I looked at the number of data.

centers that have faced local opposition. and whether there were patterns. And I I. posted it on X. So Nick, maybe you can. put this up, but. it was really a a very small. behavior which was pushing back on data. centers and getting them cancelled. We. had about 25 projects total of which. 20 were just in Q2 alone. There are 100. data center projects right now that are. facing some form of local opposition. >> So interesting.

>> If you take that 40% number and you. apply this and then you multiply by the. number of megawatts that they have. announced. Last year we lost almost 5. gawatt. in terms of cancel projects. This year coming in 26 we have about. seven that could be cancelled if you use. this math. If then you flow that through. open AI Sarah Frier said this that every. gigawatt for her for open AAI is about.

10 billion of revenue. So if you if you. assume that that's roughly accurate plus. or minus a billion here or there. What. that means is that 2025 the industry as. a whole lost. 50 billion of revenue. and this year if 7 gawatt gets canceled. it's about 70 billion. Now you're. talking about 130 billion of lost. revenue over these two years that'll go. forward in time that we miss out on. I. think that that's really bad. We need to. figure out a way to nip this in the bud.

>> So confounding because we were sitting. here 5 years ago, 10 years ago, local. municipalities were fighting and giving. discounts to try to get these data. centers open to get the jobs and get the. revenue. And now we've got people trying. to stop them. This is a perfect. transition for the State of the Union. Before we get there, two important. programming notes. All-In is going to. host two events in 2026. One of them, liquidity, May 31st to June 3rd, uh, in. Yonville, uh, up in Wine Country. Chimath has taken control of the event.

and he has set a standard for who gets. on stage. >> None of you mids can control the. programming. I just. >> That's it. Chimath came in and he. dropped the hammer. Who do you got so. far? You want to tease a couple of. people who you invited to come speak? >> I'll tease two. The first is an. incredibly dear friend of mine, >> the axe of axes, Dan Loe, who founded Third Point, who is. an unbelievable investor in literally.

every domain, private credit, public equities, private tech. He's he's just a he's. >> a beast. So, he'll be doing a really. important keynote. He has not done one. of these public speaking slots in a very. long time. And then the second is the. CFO of OpenAI, Sarah Frier. >> Oh wow. >> Unbelievable start. And we're going to. double click into the entire business. model of OpenAI on stage in front of. everybody. >> So uh go to allin.com and then for those.

of you who plan ahead for travel, >> more coming more coming every week. >> If you are an All-In Summit fan, I can't. believe it. Freedber, we're going to be. in our fifth year September 13th to. 15th. only gets better. Gets better. every year. I could have some good. parties, too. I mean, that Back to the. Future and the Bladeunner parties, those. were epic. >> allin.com/events. Hey, can I give a plug. to friend of the pod, >> Bill Gurly? He's got an amazing new. book, Running Down a Dream. Please, >> wait, wait, wait, wait. Before we start, >> before I start, >> there it is. Running down a Dream, I.

just want everybody to just stop the. pause the podcast. I want you to buy. three copies, give it to two young. people and a parent. You know, >> this book is incredible. >> It's a great book. It's a great book. It. It really is. inspiring for kids and uh. Bill Gurly, friend of the pot. He always. shows up for us. >> Jal, do an impression for us of what it. would be like if you and Bill Gurley. started a podcast together. >> All right, everybody. Welcome to the. JCBG podcast. I'm your host, Jason. Calakanis. and I'm Bill Gurly and we're. here in Texas at Terry Blacks where. we're getting some beef ribs and we're.

going to discuss investing in. marketplaces. as well as my new book running down a. dream which will teach your kids how to. not be fuckups and if your kids are ups. you can hit them in the back of the head. with the book. Texas style. One of the big topics uh and I think. something you're working on with. President Trump's acts is uh this energy. pledge. I've been seeing uh rumblings.

about this. Explain what's going on in. terms of getting the country in sync. around these data centers and energy. Well, the president announced in the. State of the Union last night that he. supports a rateayer protection pledge. which requires uh the major tech. companies to provide for their own power. needs for AI data centers so that. residential consumers do not see their. rates going up. I think this makes total. sense. I think Chamas, to your point, this is the reason behind a lot of the.

opposition to new data centers is that. the local residents fear that their. electricity prices are going to go up. and that shouldn't be the case. And so. the president has said that he's. committed to not allowing residential. rates to go up as a result of data. centers. It's pretty straightforward. You get the big tech companies, the. hyperscalers to pay for the increase in. the electricity cost or you let them set. up their own power behind the meter. The. president's been talking about this for. over a year that our biggest AI. companies would also become big power. companies because we would let them uh.

stand up their own power generation. behind the meter. So these data centers. don't even have to connect to the grid. They could just do collocation. themselves. But also, I think that with. this rateayer protection pledge, what. you're going to see is that it could. actually bring down consumer prices. because what happens is that when these. data centers then set up their own power. and connect to the grid, they can give. back the excess to the grid. Also, they. will make investments in scaling the.

infrastructure. So, although electricity. is priced at a metered rate, the costs. to generate it are not all variable. There's a lot of huge fixed costs in. there. So when you increase scale then. you can actually reduce the the metered. rate. So again you know this is really I. think the rebuttal to Bernie Sanders who. just wants to stop all progress. whatsoever. I saw a funny post calling it bananas. which is build absolutely nothing. anywhere near anyone. So this is the.

>> bananas is replacing the new nimi. So. you just can build absolutely nothing. I. think the president's approach finds a. very good balance here, which is look, >> we can have progress. Just don't make. residential consumers pay for it. Let. the big tech companies pay for it. themselves. And I think you'll see more. coming out about this from the White. House next week. >> Quite a deaf move. Freeberg, how should. America be thinking about this great. data center buildout, energy usage, you. know, if you expand it out over the. coming decade? And how do you sell that.

to the backdrop that you talk about the. socialist movement? You got a great. interview coming out with Ray Dalio and. the all-in interview program next week. How do you think about those competing. forces? You've got the socialists saying. bananas, nimi, slow down, del, and then. you've got this incredible race we're in. for efficiency and this opportunity and. abundance. How would you sell it to kind. of bring these two sides together? Or is. it just.

impossible. The data coming in and out. of data centers moves at roughly the. speed of light. So you could put them. anywhere. And I think that our policy. makers need to be very cognizant of that. fact. You have and we do connect the. internet using high-speed cable, high-speed. fiber optic throughout the world. And so. theoretically if we don't embrace and. allow the economic development of the.

data center industry and it will. fundamentally be an industry because it. is almost like the new sort of oil. Where are the oil rigs going to go? Where are the railroads going to go? Where are the telegraph lines going to. go? Where are the factories going to go? If we don't put them here, someone else. will put them on their shores. Someone. else will put them in their country. Someone else will put them in their. jurisdiction. And a lot of the economic. value that arises from the people that. will build those facilities, the energy. that will be installed to produce power.

for those facilities, and then all of. the second and third order industries. that emerge as a result of those. installations, that value will acrue. elsewhere. >> Such a good point. >> So, >> yeah, >> it's not going to like just go away. The. the demand is there. The economy is. moving forward. AI is moving forward. We. live in a world with 196 countries and. data centers do not take up a lot of. space. They're very small relative to. the economic value that they produce. If. you zoom out on the map of the world,

all the data centers in the world fit. under the tip of a pin. And so this is a. very small footprint and if we're going. to give up hundreds of thousands of jobs. and many billions of dollars of economic. value creation, we're being pretty silly. and pretty obtuse in our view of the. world. I would just like encourage the. system that I think is the right system. and we talked about this last time where. provided data centers are producing. their own electricity. That means that. you're taking electricity consumption. off the grid because they otherwise are.

not being used on the grid and that will. reduce the cost of electricity for other. residential and industrial users. So, it's silly to think that we need to put. a moratorium on data centers. As soon as. you do that, the companies that use data. centers are not going to slow down. they're going to go put them somewhere. else and we're going to miss out. >> And it's such a good point, Chimamoth, because you were recently in the Middle. East and I've been there a bunch in. Saudi, UAE. These are the folks who. built a large portion of those oil. refineries. And they are savvy to this.

And what are they doing in Saudi, UAE, Qatar, all of these regions? They're. doubling down. They're 10xing their data. center builds. So to your point, Freedberg, either we build them or. they're going to go somewhere else. And. there are people who are willing to. underwrite these and they're willing to. take out the red tape. from the process here and move quicker. than us. So we I think this is a pretty. deaf move by President Trump to say, "Hey, you guys should all just guarantee. that consumers don't get impacted." The.

water thing is a total hoax. Like the. water is recirculated. That's a hoax. I. think this is really smart. I think that. what the president's doing and what Sax. is doing is really smart. The thing to. keep in mind is that there's still a. risk that prices go up and it has. nothing to do with these data centers. and it has everything to do with the. business model of being a utility. because what happens is in order to get. a license a monopoly license in an area. to provide energy to generate energy for.

a community. The exchange works in the following way. You go and you present a capex plan to. the public utilities commission. That's. effectively your budget that says here. are the lines I'm going to upgrade. Here. are the generators I'm going to upgrade. Independent of data centers. The reality. is the draw the electricity consumption. of individual Americans is going up. because we have more devices, we have. cars, we have all of these other things. So what we also have to do is we have to. look at how utilities's business model.

actually incentivizes them to increase. prices by making all kinds of. investments. So we have to do a good job. of making sure we hold everybody. accountable because otherwise what you. could see is that the data centers. taking on the burden for themselves but. price is still continuing to escalate. because a utility says I need to spend a. billion dollars this year to upgrade my. infrastructure. And what that allows. them to do is take that billion dollars. and essentially invest it for a return. That's the business model of utility.

And this is really happening in blue. states. Micron has a hundred billion. dollar mega fab in New York. And there's. a lawsuit by six 1 2 3 4 5 citizens. >> That's shameful. >> And the project has taken 12. >> 1200 days. 1,200 days. >> between their announcement and the. groundbreaking. And they spent 612 days. on the environmental impact study. People wake up. Just go to Texas. Elon.

built his factory here, the Gigafactory, in under like 18 months. This is the. great state of Texas. Come here. We'll. build it for you and you'll be done. >> Yeah. I don't know why anyone bothers. with the blue states anymore. They make. it too hard to build. >> It's It's so dumb. It's such a. self-owned, too. Like, what? Don't you. want to be part of the future? You're. literally ankling the entire country to. scratch the odd. >> By the way, there are a lot of people in. New York who want to work. This is not a. case actually of this new fab being.

unpopular. The majority of people in the area. actually want this plant being built. They want the jobs that are going to. come there. A lot of people say data. centers don't create a lot of jobs. This. is actually a chip fab. So, it will. create a lot of jobs. A lot of good high. paying jobs. People want it. But six. people can stop it with a lawsuit after. it's already been through a two-year. environmental review. >> It's not blue and red states. These are. nonprofits that get organized to create. this kind of chaos. I remember looking. at a massive lithium investment in.

Nevada. And the whole point was to. domesticate. lithium production. And what was. interesting is this enormous deposit. that's just sitting there ripe for. development right before they were about. to get environmental approvals or right. after there was a lawsuit by people who. wanted to protect the upper land grass. It's seared in my mind that the upper. land grass of Nevada is the reason why. we do not have domestic national. security around lithium. And you have to ask yourself why is this.

possible? And it's possible because you. have these environmental nonprofits that. can go and create this chaos with. absolutely no risk to them. Zero. They. can fund raise around it and they can. create this chaos. I mean, Nick, to this. point, this is an example of Greenpeace. And specifically here, they were pushing. back on an oil pipeline to such a degree. and they created so much chaos that they. were sued. And a North Dakota judge just. said that he's going to order Greenpeace. to pay damages. That should total almost.

$350 million in connection to those. protests. >> And it should not be the case that six. people can slow down a hundred billion. investment package. That's not right. Well, I think there's and I just want to. highlight this important point. There's. not a lot of logic and reason. You guys are right. But I do think. there's a lot of emotion and there's a. huge aversion to big tech, a huge. aversion to wealth creation by select. individuals, select companies, a huge. aversion to economic growth that doesn't.

benefit everyone. There's a fundamental. kind of underlying left behind emotion. that drives a lot of this. And I've said. it before, but I think unless there's. systems or mechanisms that get folks to. come along with the value creation ahead. and and help them connect their own. lives to the value creation that's being. realized, they're not going to be. supportive because there is this kind of. diametric opposition towards big tech, towards the wealth gap, towards value. acrruel to a select few companies or. select few individuals and this fuels.

and feeds that. So I think fundamentally. maybe it's not just about giving the. data centers their own power capacity. but there's got to be mechanisms and. tools that helps the broader population. understand or recognize or get some. benefit from it as well where they're an. owner in it or participant in it because. they have the power as we're seeing they. have the power to stop it. Therefore. they want to have some benefit for. providing authority to do it. And these. six people are concerned about housing. costs, worker exposure to toxic.

chemicals, pollution in air and water, greenhouse gas emissions, energy. consumption, flooding of the wetlands, all these things that obviously could be. mitigated. All right, let's keep moving. here. We got a lot more docket to get. through. State of the Union came in at. 108 minutes. and it's the longest in 60 years. actually the longest since they started. tracking this. The theme of President. Trump's State of the Union this year, America at 250, strong, prosperous, and.

respected. Trump took a bunch of victory. laps, inflation, jobs, closing the. border, all those have gone really well. But this comes to the backdrop of. Trump's approval rating being super. challenged. He started his first year at. plus 11.7%. Now he's negative 14 14.3%. 26 point swing. Economy started plus 3.4. down to 18.2 and trade started at 5.9%. and we'll talk about the tariff stuff. later and went down to 22.7.

So let's call balls and strikes here, gentlemen. Favorite moments. What were. your favorite moments from the State of. the Union and just general impressions. of 1 hour and 45 minutes of Trump going. to town? I thought it was great. >> Favorite moment? Favorite moment or two? Well, I had a couple. One was the. Elon Omar Rashida Tlay death stare and.

them just like losing their minds and. and screaming. I just thought it was so. unamerican. The second was when he was. calling for law and order where and. focusing and prioritizing on American. citizens and. >> illegal uh aliens. >> and none of the Democrats stood up. I. thought that was kind of foolish. It was. like obvious things and the Democrats. wouldn't applaud but this time they did. like they did for the hockey team which. I thought was like the right thing to. do. And then the fourth thing is just a.

a shout out to our friend Brad Gersonner. who got a big shout out from the. president. I don't know Sax if you. engineered that or not but that was. >> that was fantastic. He got like a double shout out. It was. like a double tap. >> Yeah, that was really cool. >> That was surreal. >> Our group chat group chat went crazy. It. was really That was really cool. >> Those are my four highlights. >> Great. Here's your uh here's your clip. of uh yeah, Democrats not standing for. Americans uh over illegal aliens. 20.

seconds. >> If you agree with this statement, then. stand up and show your support. The. first duty of the American government is. to protect American citizens, not. illegal aliens. >> Why wouldn't you stand for that? That's. an easy one to stand for. Doesn't make. any sense. >> Would you stand for it, Chico?

>> Yeah. I mean, I I'm I'm pro I can be. anti-ICE, but I'm pro-American and I'm. pro reasonable immigration like 90% of. the country is. So, it just doesn't make. any sense. Uh, do you have any. highlight? >> Do you think American citizens should be. prioritized over illegals? >> Well, of course, of course. Yes. Of. course. Yes. And then I I also think. there should be a path to citizenship. for people who have been here for a. while. And I think that's what the. majority of the country thinks as well. >> Your point is I can hold two thoughts in. my head. I would have stood if he asked. me.

>> Yes, obviously we should take care of. American citizens first. Yes. And we. should deport violent criminals. We've. been over this like a million times. here. This is like consensus. >> But what do you what do you think is. going on in everybody else's head when. they're like we got to we cannot stand. for this? >> These two sides I mean I think it's like. the tariff thing. It's like the ice. thing. These two sides cannot work. together. It's just the most polarized. it's ever been. Trump is not like the. kind of guy to reach across the aisle. the Democrats are now digging in. So, we. just have a dysfunctional government.

where, you know, in a more functional. time period, like under Clinton, let's. say, or Bush, people would have gotten. together, and I'm I'm jumping ahead to. the tariff discussion. And they would. have said, "Yeah, of course, tariffs are. done in Congress. That's the law. Whatever. What are your thoughts, Mr. President? How can we support your. tariff program?" But now it's like, "Oh, well, we don't work together. We don't. actually have discussions anymore. There's no bipartisan, you know, collaboration. All these. politicians are disgraceful descriat. across the board. They should be working.

together for the American people. If the. president wants to do tariffs, >> they should be reasonable about it and. give him the power to do reasonable. tariffs and he should be reasonable and. say, "Hey, I understand that's your. power. Let's get together and we'll. we'll chop it up and let's have dinner. together." But they're just too. polarized. It's just disgraceful where. this country has gotten to. I blame both. parties. Whenever the Democrats get smoked out as. being radicals and extremists, you. always want to basically say a pox on. both your houses and blame the. Republicans and Democrats equally. The. fact of the matter is the president said.

to the audience, to the members of. Congress, hey, if you agree with the. statement, stand up. And of course, every single Democrat sat there. stonefaced and refused to applaud or. acknowledge what he was saying. This was. a very easy test for the Democrats to. pass. >> What I just said, >> in fact, it was what I said. >> In fact, it was a political risk for the. president because it was so easy for the. Democrats to demonstrate that they're. operating in good faith and that they're.

willing to be bipartisan and they're not. extremists and they're actually common. sensical and logical and they completely. failed the test. And by the way, it. wasn't just on that one. I mean, let me. just tell you some of the other ones. where they refused to applaud. So they. refused to applaud the grieving families. of innocent American women and children. murdered by criminal illegal aliens, including the mother of Ireina. Zeritzkaya. >> That was very sad. That was sad. >> That was unbelievable. They refused to.

applaud for securing our homeland and uh. ending the invasion of criminal illegal. aliens, killers, rapists, gang members, and traffickers. They refused to applaud. for unifying against political violence. So, the president mentioned the. assassination of Charlie Kirk. They. would not even do a polite clap for. Erica Kirk and unifying against. political violence. They refused to. applaud for keeping violent criminals. locked up. They even refused to applaud. for lower prescription drug prices for.

millions of Americans because it was. President Trump who orchestrated that. policy. And there were so many other. examples like that. And you know, I. think the reason why this speech was so. effective, and by the way, it's not just. me saying it. something like twothirds. of the people that CNN pled, so. twothirds of CNN watchers said it was. highly effective and something like. threearters of CBS news viewers said it. was highly effective is because the. president laid out 8020 issue one after. another, right? Or even 9010 issues or.

955 issues. I mean, these were all. issues where the overwhelming number of. Americans, I think, agree with the. policy the president laid out. And in. every single case, the Democrats. supposed to wouldn't even give it. applied applause. And that is different. than than in the past. And you can say. that's because of hyperartisanship and. polarization, but it's also because of. another thing. It's because the. Democrats have become a party of. radicalism and extremism. And the. viewpoints that they expressed through.

their aesthetics the other night, they. do express those things in policy and in. speeches all the time. So it's not just. like a oneoff or you know somehow like. we have a misconception of who these. guys are. I think you know the big line. of the night was when Trump just sort of. said these people are crazy. I mean he. said it in like almost mournful and. regretful way. He doesn't want them to. be crazy. He wants them to be rational. so he can work with them. I mean, >> but I think that point re I'll I'll. still point the other side, which is. this has been going on for a couple of,

>> you know, state of the unions here. across this. The Republicans didn't. stand for the Democrats often and uh. it's a bit of showmanship. But the truth. is Trump is the divider and chief chief. He always is attacking people. He's. always mocking people. So, they don't. want to play ball with him. So, I do. think you can both choice in politics. You got to counter punch. >> Uh no, I don't think so. That's actually. the that's actually the problem with the. that philosophy, Trump's philosophy of. we have to counter punch, we have to. attack, we never have to apologize, we.

never have to be reasonable. That's part. of what's broken down in our politics. and these two sides should work. together. We should go back to a. bipartisan. >> Are you going to work with Helen Omar. when he is when the president going to. be easy, but she is the mirror. Hold on, I'll finish my statement. You asked a. question. I think Trump is the mirror of. that. He has been hostile towards these. Democrat. He doesn't give them an inch. they should be more collaborative. That. that's what the balance of power between. the executive branch, you know, and and. these uh you know, congressmen and and.

the Congress and the Senate. Like this. is how it's supposed to work. And these. two sides need to learn how to get back. to listening to each other, understanding each other's positions, and then finding a middle ground. And. that's why the Democrats lost last time. because they didn't have the common. sense to say, "Hey, everybody wants the. border closed." To your point, it's a. 90% issue. and Kla Harris was too dumb. to just say, "Yeah, we should have. closed the border. It's closed now." And. uh we've got it. Anyway, the whole thing. is a mess. I understand you got to fight. for your team. I don't like the. >> count. You just actually made the key.

point. You made the key point which is. underlying the optics and the. polarization. You have issues and on. those issues, President Trump is on the. side of the American people. the issues. where 80% of the American people agree. Some huge percentage, I don't know. exactly what it is, thinks that the. Somali daycare fraud in Minnesota was an. outrage. And the president is right to. point that out. And what's the. Democrat's reaction? You've got Ilan. Omar screaming from the audience at him.

>> Yeah, she's alone. I mean, at the end of. the Democrats are not that different. You did have you did have Elizabeth. Warren stand for uh stopping Nancy. Pelosi from trading stocks and that gave. Trump his best oneliner of the night. That was his best oneliner clearly and. they stood for Iran too and stopping. Iran from being a nuclear. >> I give Elizabeth Warren credit for that. >> There you go. You don't have to punch. her back. >> Stop insider trading act without delay. >> Yeah. See, that's something bipartisan. Look at that, Zach. That's what you need.

to get the country back to. But that. hold on. But this this disproves the. point you were making before. You said. that it was polarization. >> You stood up for that. I can't believe. >> can't believe Nancy Pelosi stand up if. she sing pal. Good job. >> That's why he's so good is he's in the. moment and he's reacting to what's. happening in the chamber. He's not good. He's not just reading from a. teleprompter. And he nailed it. But. look, that moment disproves what you. were saying, Jal, because this is not. just about polarization. On that issue,

Elizabeth Warren was willing to stand. because she actually, to her credit, wants to ban insider trading by members. of Congress. Yes. But on the rest of. those issues, like securing the border, she did not stand. Why? Because she does. not agree with the president on that. issue. >> We just have to get back to these sides. working together. That's my personal. feeling. uh Freeberg, any thoughts on the uh. theatrics and uh Trump's first year at. large and you know the sort of back and. forth and is there any hope that these. two teams could collaborate at some.

point on something like say the. ballooning deficit which Trump has not. gotten under control in his first year. and it's going to be $2.5 trillion. dollars added. What are your thoughts. here on them collaborating on anything. important? Friedberg, that's probably. one thing they can agree on is just keep. the money flowing. Got it. They'll both. give a They'll both give a a standing. ovation for burn more capital and put us. more in debt. Well said my guy David. Friedberg, sultpan of science, it is.

your time to shine. The world's greatest. moderator has decided we're going. directly to science corner. This is your. time to shine. >> Sax's time to drop a deuce. >> Sax went immediately off camera. >> Yeah, he has to drop a deuce. >> What's up? >> But what do you need me for? This is. very important for you. >> Freeberg's going to talk. >> Lightning round for science corner. Go. Freeberg. >> Wait, wait, wait. Are we doing any more. topics after this or can I just leave? >> Yes, tariffs. >> Yes, we're doing tariffs. >> Wait, why would we do that? >> Because I want to get the audience to.

sleep. I'm not saying Science Corner. doesn't have its audience. >> Listen, you can go. >> Why wouldn't we do Yeah, exactly. You're. screaming. >> Let him do his work. >> Let him let him cook. Let him cook. >> Freeberg, tell us about this Harvard. scene. >> Speaking of science, I think that. there's a very important moment. happening right now. We've talked a. number of times on the show about. Yamanaka factors. These are these four. proteins that were discovered by Shina. Yamanaka that we found later that when. applied to cells, mamalian cells can. actually reverse the age of those cells,

reset the epigenetic clock, reset the. epiggenome, which is the little markers. on top of the DNA that turn genes on and. off back to a youthful state. extraordinary groundbreaking work that. was done that won the Nobel Prize led to. the foundation of several companies. There's a Harvard uh scientist named. David Sinclair. He's a bit of a. controversial character. Do you guys. know him? I think you guys one one or. two of you may have met him. Chim, you. ever met him? >> I I I followed him. I've seen his stuff. So Sinclair is kind of bemoaned a little.

bit by the scientific and academic. community for being a little too. overhypy snake oil salesman as some of. folks have claimed because years ago he. sold a company to GSK saying resveratrol. would reverse aging and you know he made. $720 million on that and it didn't end. up working and he's promoted certain. supplement companies and so on. So, I. want to preface with that before I kind. of underwrite what he's saying with this. next thing, but he's a co-founder of a. company called Life Biosciences, and. they've reached a major agreement with.

the FDA to be the first company to treat. humans with Yamanaka factors. Specifically, what they're doing is. they're going to be delivering these. Yamanaka factors, these are these. proteins. that rejuvenate cells and make them. youthful again into the eye. And so. their their first indication is to. actually inject them into the vitrial. fluid in the eyeball and they'll affect. the retina in the eye to address people. that have gotten blind from glaucoma or.

one of these kind of stroke like. diseases that happen in the eye. And the. expectation with this phase one clinical. trial is that the delivery of these. Yamanaka factors into the eye will. rejuvenate the retina, make it youthful. again, and restore vision. If it works, which it's expected to because we see. this result happen in animal models, it. could be an extraordinary breakthrough, not just in terms of blindness, but in. terms of the first human application of. Yamanaka factors to reverse aging. The.

way they're doing it is they're actually. packaging up DNA that will make these. proteins into viruses, AAV virus that is. delivered into the eye. The virus will. then go into the retinal cells and then. will deliver this payload for this DNA. to make these proteins in the eye uh. cells and it can be turned on and off. Amazingly they've created a switch. mechanism in it where the protein. production the production of these. Yamanaka factors can be turned on and.

off by taking an antibiotic called. doxycyc. So the person that gets the. delivery of this drug takes the. antibiotic turns on the production of. these Yamanaka factors and then. theoretically their eye cells will deage. will get youthful and their vision will. be restored. So phase one clinical. trials underway. First time in human. history we're seeing Yamanaka factors. being delivered into humans. Literally. the tip of the iceberg. There are now. over a dozen startups that are trying to. deliver Yamanaka factors which are these.

proteins or some other sort of protein. that can actually reverse aging by. restoring the epiggenome and cells and. make them young again. So this is the. beginning of a wave of what I think will. be the most extraordinary revolution in. human therapeutics and ultimately could. lead to. you know some people would argue the. fountain of youth. Is this just a talk. study? So is it mechanism? >> They're not. Yeah, they're they're well. they'll see results. They'll see. results, but they're going to they're. going to keep dosing low. But you will.

see results. >> God, that's going to be incredible. >> It's going to be incredible. By the way, the number of other folks that are. gearing up for phase one using if not. the Yamanaka factors, other factors that. they've identified or designed as an. alternative to Yamanaka factors again to. rejuvenate the cells. And just to remind. folks, the way this works is it was. discovered that these proteins when they. go into a cell, they take all of those. little markers that sit on top of your. DNA that turn genes on and off and they. create a system that causes them all to.

move to the right place. So, it resets. the markers so that those cells will. start to operate like they're supposed. to when they were young again. >> That's going to be. >> it's going to be incredible. Yeah. Do. you think like No, in all seriousness, people's knees or joints or what where. do you think it could flow to next in. arthritis? >> Yep. Um and and by the way, when applied. and if it's distributed in the skin, they've seen some results in monkeys. where like wrinkles go away. >> It like literally makes these cells all. work youthful again. And so a lot of the. damage that happens over time is not.

damage to DNA. It's damage to the. epiggenome. It's the parts that sit on. top of the DNA that turn genes on and. off. And they get moved to the wrong. place as you get older. And by resetting. them and getting them back to the right. place, boom, the cell is young again, the organ is young again, and suddenly. you look and act and feel young again. It's an incredible technology. We're. just at the early stages, the early. innings of turning it into therapeutics. Again, the discovery goes back to 2006. and now we're starting to see it get. into clinic. >> All right, let's rejuvenate. Let's.

rejuvenate some hairlines on this. podcast. Uh, that would be next up. >> Speak for yourself. >> I don't know. You got You got a little. uh You got a little peaks going there, my brother. A little peak. >> What are you talking about, bro? My. hairline's incredible. I'm 50. >> I mean, it's not bad for 50. I give you. credit. You're You're holding your own. All right, let's talk about our final. topic. Scotas struck down Trump's. emergency powers tariffs. Last Friday, Scotas voted 63 against President. Trump's tariffs. Six judges voted. against. three conservatives, Roberts,

Barrett, Gorsuch, uh, and three liberals. via Bloomberg. This is the biggest. rebuke of existing executive policy in. 91 years since Scottish struck down. FDR's first new deal in 1935. UPUP Wharton Analysis says the tariffs. collected about 175 billion to date, 50%. of all tariff duties, um, might wind up. being refunded. This is going to take. some time to sort out in the courts. 2,000 importers have already filed for.

refunds. We we talked about it here. I. think the majority of people felt like. this is the way the decision would go. And we talked about here that there were. other options for President Trump to. pursue. He immediately said he was not. deterred and invoked a 15% global tariff. across the board via section 122 of the. 1974. trade act. Here's your poly market. Will. the court force Trump to refund tariffs? 18% chance but spike to 40% after the.

SCOTA's decision. How will Congress. react? Poly market says 3% chance. Congress passes any tariffs by March. 31st. So again, as I referenced earlier, these two sides just can't seem to work. together. And that would have resolved. the whole thing. Saxs, you want to um. give us your take here? >> First of all, I don't think that the. tariffs are going away. What the court. basically indicated especially the. 70page Kavanaaugh descent is that.

there's multiple alternative bases in. law for the tariffs in existing law. So. for example section 122 of the trade act. of 1974. enables temporary 150day tariffs of up. to 15% to address balance of payments. issues and the president has already. invoked this. So we are now operating. under that. What the 150 days is going. to do is buy the administration time to. substantiate via studies and agency.

reviews. What it needs to prove in order. to invoke more sweeping tariff authority. under section 301 of the trade act and. under section 338 of the tariff act. Section 301 authorizes tariffs. responding to unfair foreign trade. practices. Section 338 of the tariff act. allows tariffs against countries. discriminating against US commerce. The. Kavanaaugh descent actually provided a. roadmap for the administration to put in.

place tariffs using one of these. alternate uh bases. So, I think that one. way or another, the tariff policies of. this administration and the favorable. trade deals that they allow us to strike. with many nations, they will continue. And I think the court seems to know that. because the majority's opinion as. concurrences collectively said nothing. about how the administration should go. about refunding the tariff revenue. already collected. I think that if they. expected this decision to end the tariff.

policies altogether, they probably would. have said something about that. And I. think that brings up a really important. point just on the merits here, which is. why would we want to give back hundreds. of billions of dollars to a bunch of. importers when we're trillions of. dollars in debt? And I'll just say that. the people who originally predicted that. somehow these tariffs would be. catastrophic for the economy. Those. predictions all prove not to be true. So. I think that this is ultimately, I. think, going to be a popular policy. The.

administration will figure out a. different way to do it. And I predict. that future administrations, whether. they're Republican or Democrat, will. keep some version of the tariffs in. place, but I think that they will be. ultimately popular on a long-standing. basis. Chamathy, your thoughts? >> I think we've proven the experiment has. been successful. >> What was the experiment? We needed to smoke out what the right. balance of trade should be between the. United States and all of its partner. countries. I think that what we.

uncovered is that for the most part they. were structural imbalances that were. made not because they made economic. sense for America, but it was just part. of a hodgepodge of globalist dril that. people just bought into. And if you. strip all that stuff away, we had a. hollowedout manufacturing class and we. have a hollowedout middle class and the. tariffs will create more equality for. the American worker in the end. So now I. think the debate should be about how to. implement these in a structural and.

permanent way. I think we talked about this before. Jason that this was sort of expected and. >> there are many other mechanisms. I think. the president activated one of them. immediately. >> I don't think this is going away and I. don't think it should go away. So I. think now the point is. Congress really should ratify these. things because it is clear that it was. the right thing to do. and if they don't then you know the. president still has a lot of room to get. these done but these make smart economic.

sense in my opinion. >> Freeberg any thoughts on the ruling? Does it give you. some I don't know um respect for the. courts that they made a judgment not. along party lines for once? Uh does it. Yeah. Okay. Exactly. >> Yeah. And I think I think that all I. think all Americans. should feel assured and comforted in the. fact that I think a lot of people view. the Supreme Court as having a high. degree of partisanship. The fact that the president despite.

having a majority of what others would. think were kind of politically aligned. appointees on the court had a ruling. that he did not want. I think should give everyone good faith. that the system that the founders set up. is working that there is a judicial. branch that adjudicates the law against. the executive branch when they think. that um it doesn't map and I think that. that was very important to see. So, you. know, I clearly you the the debate about. tariffs, the economic effect of tariffs, the security structural trade.

relationship effect of tariffs and the. importance of that is a separate. conversation, but I do think that the. read of the law being what I would say. is nonpartisan with respect to the. court's action is important and probably. very valuable. I'll reiterate that this. is a great moment, I think, for uh the. Supreme Court to make a thoughtful. decision. And I think we need to think. about executive power a whole bunch. Whether it's Biden with student loans or. Trump with tariffs, we have this. beautiful system set up by the founding. fathers. I know it's frustrating.

Gridlock's frustrating. Having to work. together is frustrating. Trust me, we we. all come to this podcast every Thursday. We have to work together. It's hard to. work together. You got to learn to work. together. And we don't want an executive. branch that can unilaterally just roll. over the other branches. And uh that's. going to end. I think Trump's going to. lose the midterms and we're going to get. to more chaos again and it we might as. well start this reconciliation process. of these two sides stopping their law. for against each other and working.

together for the American people on the. important issues. The tariffs there are. some fundamentally important things that. Trump was doing there and they were. working. They could have been chaotic. uh that's a reasonable um you know. criticism of them because business. owners didn't know what to do. So Trump. did it in a chaotic way. That's just a. fact. He should have done it in a more. thoughtful way and the Congress should. have been alongside him saying, "Hey, what tools do you need? How can we help. support this? We know that there's trade.

imbalances. We know that people are. being unfair. Let's work together as one. America to negotiate these things." So. both sides start having dinner together, start playing cards together, and do. what we do here on this podcast, which. is you fight it out. You argue, but then. you come together and try to find some. resolutions for this stuff. So they. should go and tell Trump, "Hey, we'll. approve all the tariffs you did. We will. not force you to get refunds." The. Congress should come out and just say. that. And then they should say, "Hey, and when you want to do them in 2026,

just run them by us or ask us for some. parameters that you want and let's just. be thoughtful about it. These are our. concerns. That's it. Thank you for. coming to my TEA talk. Can. >> I just do one? >> Absolutely. I'm sure you have some. debate club points that you want to. point that out. >> Well, I just want to make one. I mean, do you think Susan Rice is going to. respect your call for comedy and. basically working together Kumbaya? >> I want the Aspree to corpse. No, I. don't. I think both sides. She just had. a diet tribe where she basically said. that Republicans and actually not just.

like partisan Republicans, but even tech. companies that merely were working with. the administration should expect to get. prosecuted. I mean, she was basically. outright saying she's she and the. Democrats are going to pursue lawfare as. soon as they get back in charge. >> They're they're absolutely going to do. that. Just like when Trump got in, he. went after Comey, he went after Jerome. Pal. The lawfare is happening on both. sides. Both sides need to drop the. lawfare. We need to get rid of these. pardons. They're ridiculous. And these. team this, we have to be a team. So,

let's just get some aspa of corpse and. teamwork going in Washington DC. And. that's what we should vote for in the. midterms. We should vote for moderates. who want to work together. And in 2028, we should have some kind of moderates. and tickets that want to work together. That would be better for all Americans. This kind of chaos is not good, folks. All right. Listen, this has been another. amazing episode of the All-In podcast, your favorite podcast. Uh, like, subscribe, whatever the hell you want to. do on your own time for David Sachs,

David Freeberg, Chamal Pia. Love you, boys. I am the world's greatest Monterey. J. See you next time. Byebye. Byebye. >> We'll let your winners ride. And it said, "We open sourced it to the. fans and they've just gone crazy with. it.". >> Queen of. >> besties are.

my dog taking notice your driveways. >> Oh man, my habitasher will meet up. >> We should all just get a room and just. have one big huge orgy cuz they're all. just useless. It's like this like sexual. tension that we just need to release. somehow. >> Your feet. We need to get merch. >> I'm going all in.

I'm going all in.