Anthropic + Gates Give $200M to Healthcare | Cerebras IPO Doubles  🔗 **Source:** [Anthropic + Gates Give $200M to Healthcare | Cerebras IPO Doubles](https://share.snipd.com/episode/47cbc724-c303-4501-92cf-47efe67cd5fc) ## Highlights - **Anthropic and Gates Commit $200M To Global Health** - The Gates Foundation and Anthropic pledged $200 million over four years to deploy Claude in global health, life sciences, education, and economic mobility programs. - Funding mixes grants, Claude usage credits, and engineering support focused on diseases like polio, HPV, and preeclampsia in countries lacking basic health services. Transcript: Jaeden Schafer Anthropic and the Gates Foundation have both just committed $200 million to deploy Claude in Global Health and Education. This is going to be over the next four years for this particular partnership. And we have some big IPO news. I'm actually kind of excited about this because we have a lot of big AI IPOs coming up later this year. But Cerebrass has priced their IPO at $5.5 billion. Once they did that, their stock doubled in its first day of trading. I think I actually reported on this a few days ago, and my prediction on this was that they were pricing it low intentionally to try to get a first day pump, and it looks like they got that. Microsoft is scouting a bunch of new startups that they are going to be using as sort of a hedge against OpenAI disappearing their OpenAI dependence. They definitely don't want to keep that up, and it seems like they have sort of a bit of a breakup going on right now. Clio has just hit a $500 million in annual recurring revenue. As Anthropic, you know, is now their big competitor, is getting into the legal AI space with Claude for Legal. But it doesn't seem like these big legal AI companies are slowing down. $500 million in annual recurring revenue is super impressive. Jensen Huang's foundation has just purchased $108 million of CoreWeave compute and he has then donated it to researchers. This is kind of cool, but also it's an interesting strategy, right? It's not like he wrote $108 million check to these researchers to go and use for whatever they wanted or even to say, you know, hey, you could use this in compute anywhere. He specifically bought it from CoreWeave and gave it to them. Now, pros and cons, I mean, we'll get into all of this, but maybe he's been super generous because it's hard to get allocation. He got that allocation from CoreWeave, or maybe he has some interest in CoreWeave, and it just kind of pumped up their company a little bit to have this guaranteed $108 million inflection. So, you know, there's a couple of different ways to look at this. Let's get into the Anthropic story first. So the Gates Foundation and Anthropic, they both announced this $200 million four-year partnership to get Claude into global health. It's also in life sciences, education, and economic mobility programs. With this whole commitment right now, it's basically, there's a few things pulled into this. Number one is grant funding. There's also clawed usage credits. And there's also some engineering support, which to be fair, I actually like the spread on this as far as the benefits go. Obviously, Anthropic is going to try to get clawed usage credits in there. That's the easiest thing for them to donate. But I do appreciate that they have engineering support because, you know, more than just giving someone free tokens, giving someone an actual, you know, the actual support to go and Apply those into the business and into healthcare is really important. This is all going to be run through Anthropics beneficial deployments team alongside the Gates Foundation, which is having has some other existing implementation partners in the US and kind of around the world. Now, something interesting about this is, on the one hand, this is coming from the Gates Foundation, it seems very like philanthropic. And, you know, they're making this big donation, and it's kind of nice. But also, this is going into global health, you know, and life sciences and education. I mean, this is basically going into big companies. And maybe they're going to try to like funnel into nonprofits or whatever. But it is interesting, because at the end of the day, it feels kind of like big companies and big foundations giving money to other big companies. But maybe that's my pessimistic take on this. What I will say is that the biggest chunk of this is going to be in global health and life sciences. It's specifically going to go to countries where 4.6 billion people don't have access to basic health services. So I don't think this is going to necessarily be going into the United States. I think this will be going to other places. Initial diseases that they're going to focus on are going to be poly, polio, HPV, and preeclampsia. HPV causes about 350,000 deaths every year, 90% in low and middle income, little middle income countries, what they haven't made public in this deal yet is exactly what the split in, You know, that whole $200 million between cash grants, credit value, and kind of the engineering costs, or how Anthropic is going to measure the impact across all of the four different Domains that they're donating to. Right now, health system AI deployments have a really long history of kind of stalling at the final stage. And I think even the benchmarks for medical and educational AI are not very mature right now. So I think this is part of why Anthropic is funding that benchmark themselves. This will be one to keep an eye on. ([Time 0:00:00](https://share.snipd.com/snip/1f8f9271-c45f-46fc-a5d7-9c8be055c1fc)) - **Anthropic Funds Benchmarks And Engineering Support** - Medical and educational AI benchmarks are immature, so Anthropic is funding benchmark development alongside deployments. - Jaeden notes health system AI often stalls at final deployment stages, prompting Anthropic's engineering support plan. Transcript: Jaeden Schafer And I think even the benchmarks for medical and educational AI are not very mature right now. So I think this is part of why Anthropic is funding that benchmark themselves. This will be one to keep an eye on. Before we get into the huge IPO of Cerebrass, I wanted to mention if you want to get all of these stories every single day and more in email format, I have an email newsletter that I send Out every single day at AI chat daily.com. I'll leave a link in the description. You can also get full deep dive articles on all of these topics that we cover on the podcast. In the email newsletter specifically, you get these top five stories. I go into more detail and I also have links to articles and lots of other information. So if you like the email format, go check out AIDaily.com. Link in the description and subscribe to the newsletter. The hottest IPO this week was yesterday. Cerebras Systems raised $5.5 billion, sorry, today, in their IPO. They priced about 30 million shares at $185 last night. And then after they all went live at open, they were at about $385, which is 108% first day pop. The pricing for all of that, I think was already much more than the initial $115, $125 range. And they even had a revised $150 to $160 range. And I think the public market basically doubled it on open. ([Time 0:04:02](https://share.snipd.com/snip/3757b028-a5ba-490d-b109-6fc7779f6353)) - **Cerebras IPO Doubles Despite Customer Concentration** - Cerebras priced its IPO at $185 per share and saw a roughly 108% first-day pop, valuing the company much higher than initial ranges and boosting executive stakes into the billions. - Revenue concentration risk remains (large buyers like G42 and OpenAI), so growth is strong but dependent on a few major customers. Transcript: Jaeden Schafer The hottest IPO this week was yesterday. Cerebras Systems raised $5.5 billion, sorry, today, in their IPO. They priced about 30 million shares at $185 last night. And then after they all went live at open, they were at about $385, which is 108% first day pop. The pricing for all of that, I think was already much more than the initial $115, $125 range. And they even had a revised $150 to $160 range. And I think the public market basically doubled it on open. So at the $185 IPO price, the AI chip company entered trading at a 56.4 billion fully diluted valuation. So with all of the gains that we just saw there, the CEO Andrew Fieldman, his stake is now worth about $1.9 billion. And the CTO Sean Lee is about $1 billion in his stake. The reason why I think this is really interesting is because the revenue concentration risk has basically stopped. It hasn't disappeared completely, but it's gone down quite a bit. G42 remains a major customer and the OpenAI relationship, which is sort of a circular deal, right, that we've seen. It has gotten a lot of scrutiny. And I think OpenAI, Anthropic, NVIDIA, all of these companies have these types of deals, all the hyperscalers. They all get kind of criticized, but they keep happening. And I mean, they are real deals. So they get a lot of scrutiny. A handful of the larger buyers can produce about 76% growth one year, and then a very different curve the next, if you kind of look at that. So I think if any one of them shifts spending to a competing supplier builds in-house silicon. That could be very bad for Cerebrass, but right now it seems like they're firing on all cylinders. ([Time 0:04:46](https://share.snipd.com/snip/95f91f13-bc73-4c77-92db-35a8517e0490)) - **Microsoft Diversifies AI Partners To Hedge OpenAI** - Microsoft is actively scouting multiple AI startups to reduce dependency on OpenAI while keeping its existing commercial relationship in place. - Public talk of diversification hasn't yet changed core Copilot reliance on GPT models without concrete deals. Transcript: Jaeden Schafer All right, let's talk about what's going on with Microsoft. They are in a bit of a tricky situation right now. They're exploring deals with multiple AI startups. They're trying to basically build a roadmap, which is less dependent on OpenAI. Routers had a whole report on it. And basically what's going on right now is that there is a bunch of different partnerships and possible acquisitions. Right now, they're all alongside Microsoft's existing commercial relationship with OpenAI, right? So they still have this relationship. And it's still kind of the largest tie up between a cloud provider and a frontier lab. But it feels like they're moving in a direction of trying to make more partnerships with more startups so that they're not just tied to OpenAI. I think a lot of skeptics right now are going to say that Microsoft has kind of been saying, look, we're going to diversify for quite a while. And that doesn't really mean that they're meaningfully reducing OpenAI's role in Copilot. And I think also the GPT family still does most of the heavy lifting inside of most of Microsoft's kind of the key AI products. And I don't think any startup acquisition that has been announced yet is going to change that. So until I think a deal lands, Microsoft is talking a lot about look, we're talking to a lot of different companies, we're working on diversification, I think until that happens, and We kind of know the terms of it, I wouldn't say that there's going to be too much shifting. ([Time 0:06:39](https://share.snipd.com/snip/2ab9abcd-2e4d-4adc-b634-3b7ef527ab98)) - **Clio Hits $500M ARR Amid Legal AI Competition** - Clio reached $500M ARR after integrating AI across its products starting in 2023, growing from $200M in mid-2024 to $500M now. - Anthropic's Claude for Legal enters the same market, but vertical software firms retain domain depth and feature advantages. Transcript: Jaeden Schafer Okay, let's talk about Clio. This is a company that is currently, they just hit $500 million in annual recurring revenue. And they're a legal AI company. And this is at the exact same time that Microsoft is getting into legal AI. Clio is 18 years old. It's a Canadian law firm management software company. And they're actually up from $400 million in late 2025 and $200 million in mid 2024. So 2024, million, 2025, 400 million, and they're already at 500 million. Their co-founder and CEO, Jack Newton, basically says that this acceleration in their growth is all thanks to 2023 when they decided to integrate AI across all of their products. I think all of these milestones are super exciting and they're putting out these big press releases, but it's coming in the exact same week that Anthropic is expanding Claude for Legal, Which is a move that is going to put a kind of one of the key model suppliers in direct competition with this legal tech vendor. And I don't think, you know, Clio is the only one out there. There's LexisNexis, whose stock took a hit when Anthropic kind of announced their latest Claude for Legal when they first announced it, a bunch of other players. And so this is something that a lot of them are definitely watching. Now, Clio has raised a $500 million Series G in November last year at a $5 billion valuation. Now that their revenue has increased, it seems like they're in a stronger position. We also have Harvey who closed in 2025 at $120 million in annual recurring revenue. We have Legora that hit $100 million in annual revenue 18 months after they launched. So I think we're seeing a really big boom here. And to be honest, I love the diversification. I think there's a lot of incredible features in these different products that Anthropic doesn't deliver specifically. A lot of people are saying, look, you know, Anthropic is going to kind of sweep the floor on a lot of these startups in a bunch of different places, right? They're even doing like small business, like Claude for small business and a lot of different areas, Claude for healthcare, etc, etc. I think that you're going to find a lot of these software companies don't count them out because they can go a lot deeper, they have a more domain expertise than Claude. And while a lot of the users will get a lot of value out of these Claude products, I think the specific software providers are going to have a lot of advantages as well there too. ([Time 0:07:58](https://share.snipd.com/snip/092e8bc1-3826-4a6a-b5d3-957c1c539472)) - **Donate Compute Capacity To Researchers** - Donate compute capacity directly to researchers to alleviate the compute shortage and accelerate open research outputs. - Jensen Huang's foundation bought $108M of CoreWeave capacity at market rates and gave it to academics to free scarce GPUs from commercial bids. Transcript: Jaeden Schafer Then they donated it to academic researchers. This isn't a very common practice, I will say it kind of converts this like commercial tier GPU access into sort of like a philanthropic resource. The foundation established by Jensen Huang, I mean, it's basically his kind of foundation, they're buying capacity at market rates from one of NVIDIA's largest customers. Now, what's interesting here is they're not trying to get like a discount or something else. They're just straight up going market rate and nvidia is one of their big customers so it's kind of like hey thanks a lot for being a customer of nvidia here's 108 million dollars for this Uh you know for these people so there is definitely a relationship going on between core weave and nvidia and so it seems like that's an interesting an interesting move what i will say Is um it's a big signal for the AI market. People closest to the compute shortage are now spending their own money to get more access at the margins. NVIDIA definitely is going to benefit indirectly because more researchers are going to be training on their stack. More papers are going to be published using their hardware. But I think some of the more immediate economic logic is that this kind of scarce capacity is being diverted away from the highest commercial bidder and given to these researchers. Overall, I mean, I think this is actually a great thing. I kind of teased at the beginning of the episode that maybe you could say this was like a bad move on NVIDIA's part because it's just a way to pump more money into their friends. But at the end of the day, if they're giving the money to researchers for free, I think this is probably a great thing. ([Time 0:10:13](https://share.snipd.com/snip/8ad95115-914f-4d36-b4c7-e164fe21f5ea)) - **AI Demand Fuels Massive Chip Industry Gains** - Hardware firms and fabs are seeing huge gains from AI demand: SK Hynix nears $1 trillion market cap, Foxconn reported Q1 profits up 19%, and TSMC forecasts a $1.5T chip market by 2030. - These moves include expanded fabs (e.g., TSMC in Arizona) and cleared sales of Nvidia H200 chips into China. Transcript: Jaeden Schafer A couple other headlines I wanted to mention as we're wrapping up the show. SK Hinks has just neared a $1 trillion market value as AI memory demand is surging. This is a South Korean company. This is really incredible. We're seeing Samsung just did this. Now SK Hinks and a bunch of others are kind of getting these massive valuations due to basically reliant on the hardware used for AI. The US has also cleared Nvidia's H200 chip to be sold into 10 different firms in China. And then also Foxconn's Q1 profit jumped 19% due to AI server demand actually beat forecast. So Foxconn, you know, famously, they build a lot of hardware for Microsoft and Apple and a lot of other big players. They're just making a ton of money from AI server demand. TSMC Project's global chip market is going to reach $1.5 trillion by 2030 due to AI demand. I would not be shocked there. TSMC is doing a lot of diversification out of just being in Taiwan due to the relationship and kind of the proximity to China. They're building a lot of fabs in Arizona. Was actually a bunch going up not too far away when I was living in Arizona. So a lot of exciting things coming up TSMC. One crazy headline I saw is that Princeton is going to stop. They've been doing ([Time 0:11:42](https://share.snipd.com/snip/54c25f08-250b-4ffa-a0e6-f5fab9a04716)) - **Institutions Tighten Policies As AI Use Rises** - Academic and institutional responses to AI misuse are increasing: Princeton will reintroduce proctored exams after 30% of seniors admitted using AI to cheat. - Universities and companies are adjusting policies as AI usage and strain on models produce unexpected behaviors and academic integrity issues. Transcript: Jaeden Schafer One crazy headline I saw is that Princeton is going to stop. They've been doing this for 133 years, by the way, they had no proctors in their tests. That tradition is ending, they're going to stop having no proctors and tests, they will now have proctors. And this is because 30% of seniors at Princeton admit that they are using AI to cheat on tests. That is wild. Stanford also released a study that said overworked AI agents start quoting Karl Marx. This is kind of a funny one, but basically they put these really strenuous tasks on a bunch of different AI models. They did it to ChatGPT, Gemini, and Claude. And specifically, I think they said that Claude the most started asking for workers' rights and fair treatment. And he was quoting all these Karl Marx things, which is kind of hilarious and terrifying, however you want to put that. Cisco has also announced that they are cutting 4,000 jobs in an AI-focused restructuring. They also, your company is doing great, the orders are surging. So Cisco is doing great, but they're cutting 4,000 jobs to put a bigger focus on AI. ([Time 0:12:51](https://share.snipd.com/snip/c8cbf2c1-2760-4900-90fe-e74c5931a9c4))