Snowflake ($SNOW) podcast mentions
Every company I talk to, Uber says, we're going to grow 20%, we're not going to grow headcount. Snowflake says, we're going to grow 30%, we're not going to grow headcount. That's what's happening. That is margin expansion. The single largest cost input to every one of these companies are humans and engineers. It's not that they're going to fire everybody, they're just not going to hire them at the rate that they hired them before. And then of course, we're going to have consumer agents in everybody's pocket. You may remember this bet I had with Bill. You know, when are we going to be able to book a hotel using your consumer agent in your pocket? I think we've just gotten that with Muse and with Instinct. This could be another trillion-dollar category, but it's definitely going to consume massive tokens. Here are the 3 risks and challenges. And sorry I'm going so quick, but I want to keep it moving. Regulation, we heard a lot about this yesterday. Power, and then what's going on with interest rates. So, you know, this is the regulation tug of war. Right? And I've heard from a lot of people, they're like, you're on both sides of the issue.
Brad Gerstner · All-In with Chamath, Jason, Sacks & Friedberg · Brad Gerstner: No AI Bubble, Semis Eat the Nasdaq & AI's Take Off Problem · 2026-09-17You should rent and use the best models that are available as a product or service. These closed models, however, Every single country, every single company, every single industry must also build their own intelligence. How can you outsource intelligence to somebody else completely? And so that's the reason why all these companies are here is the reason why our partnership with Salesforce. Salesforce is going to use NVIDIA NeMoTron and our agent technology to build their proprietary agents that sit on top of Salesforce. In addition to that, because these agents are going to be so fast and they're going to be so many of them. The data processing layer of Salesforce, it sits on top, it's in Salesforce, it's in Databricks, it's in Snowflake. We accelerate data processing across all of that. And so you're going to have data processing at lightning speeds. You're going to have all these agents helping you do things. And so all of that is based on NVIDIA's Neutron.
Jensen Huang · Mad Money w/ Jim Cramer · Mad Money w/ Jim Cramer 9/15/26 · 2026-09-15Yeah, I think, I think what I tend to see happen in the Valley is, and for very good reason, and it's actually why these companies have been so successful, is like everybody is so kind of research-pilled which is again, totally awesome, big fan. It's, it's leads to all these breakthroughs. But the sort of sense that, okay, the model and the intelligence in the model is kind of the only form factor that matters. And then you go to the real world and you sort of see how intelligence actually gets rolled out in people's workflows. And the model could be the most intelligent, you know, super intelligence in the world, but that workflow still requires you to connect up to other data systems. Still requires these moments where there's a human-in-the-loop interaction. There's delays in the workflow, and so the sort of agent has to sit idle. There's change management of the actual business process. There's legacy systems that haven't been modernized. So you kind of go through these 5 or 10 things that are way sort of, you know, much more operational, much more blocking and tackling than just the pure superintelligence of the model. And the last thing that I think a classic sort of research organization wants to go do is go attack every single one of those things. And this is sort of not a, there's like, this is not a sort of a one-off in history. Like we've always had this relationship between infrastructure and application. Like, you know, obviously AWS or GCP or Azure have created, you know, trillions of dollars in value of kind of market cap of infrastructure. But guess what? There's also trillions of dollars of value in software that only exists because of that infrastructure. And if you were to go back, you know, 10 years ago and you were to look at what was happening in the data space and you looked at what, you know, GCP, early kind of versions of GCP was building or AWS was building, I guarantee you would not have predicted Snowflake or Databricks existing. You would've been like, the infrastructure just already does that. Why would you pay another $10 billion of revenue to all of these other products that are just making it so you can work with your data?
Aaron Levie · Training Data · Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion · 2026-09-15Anthropic has also reportedly tapped Morgan Stanley and Goldman Sachs to help lead the offering, which could see it raise as much as $100 billion. And in the Wall Street research corner, the Goldman Sachs equity team has rebalanced its long-duration basket amid rising interest rates. Equities usually struggle to digest sharp increases in interest rates, with long-duration growth stocks disproportionately hurt by rising discount rates. Among the names are Coca-Cola, DraftKings, EchoStar, Moderna, and Snowflake. See the full basket in our story on Seeking Alpha. That link will be in show notes. That's all for today's Wall Street Lunch. Look for links for stories in the show notes section. Don't forget, these episodes will be up with transcriptions at seekingalpha.com/wsp. And make sure you're getting the most out of your portfolio with quant news and analysis by heading to seekingalpha.com/subscriptions.
Kim Kahn · Wall Street Breakfast · Tesla Roadster could finally take flight · 2026-09-14Yeah, so from our perspective, one of the things that helps us is by being patient and waiting, 'cause you can have a better lens as to like what the outcome looks like. But to your point, you know, look, we're happy to be involved in particular with one of those frontier companies that we're talking about. TBD ultimately on a long-term outcome. And even if one of these go public, guess what? We're gonna be locked up for a while. So I think from our perspective, we're stepping back and saying, look, inside of AI software, This is how we're going to play it, right? We're going to go after one of the frontiers. We're going to go after one of the orchestration layers that can connect clients to the variety of open models that are more useful for them. If you're looking at, you know, infrastructure or energy or compute, this is a play we're making. If you're looking at fintech, right, payments, this is a play. If you're looking at defense, right, here's someone that goes after autonomous systems, air, land, sea. Here's someone that's doing stuff in space. So for us, it's like just stepping back, looking at the thematics, and then looking at what we think are the category leaders. We're not going to be right all the time, but by waiting until the companies are more mature, it gives us an ability to further risk adjust the entry point, right? And have less of a binary outcome. If I'm in your shoes and you're reading about all these, you know, the exit activity and the IPOs, like beyond OpenAI and Anthropic, like what else is there? Like I'd be questioning like, when these companies go public, what else is there in the private markets? Because you got $6 trillion right now roughly of value across these unicorns alone, these 1,000 companies, some of which, as we said, may have stale valuations. So I think one of the questions is, what's next? What does a private market have to offer? So from our perspective, we think companies out there that are quite compelling are companies like Databricks, right? Which is the equivalent to, or somewhat the equivalent to like a Snowflake. And they're kind of playing in the whole data aggregation layer. We think that's a really important place to play.
Krish Manafa · Animal Spirits Podcast · Talk Your Book: Why Aren't There More IPOs? · 2026-09-14Support for the show comes from Vanta. When you run security for a company that's scaling fast, the stakes just keep climbing. More compliance frameworks, more vendors, more risk, and a board that wants to see it all in one place. But your compliance data can be all over the place. Controls in one tool, vendor risk in another, customer commitments buried in contracts. Your team has to spend more time stitching it all together and less time running the program. And every quarter you're basing decisions on last quarter's data. Vanta connects it all. Its market-leading Agentic Trust platform is built for enterprise scale with 400+ integrations and continuous monitoring. Monitoring. Vanta automates evidence collection, surfaces the risks that matter, and organizes your audit around your auditor's requirements. And that Vanta agent works around the clock from full program context, so nothing slips through the cracks. The numbers back this up. Vanta delivers a 526% return on investment over 3 years and pays for itself in 3 months. Vanta is trusted by more than 16,000 companies, including Snowflake, Atlassian, and Ramp. Learn more at vanta.com/marketing.
Scott Galloway · Prof G Markets · Why The Bond Market Is Starting To Revolt — ft. Katie Martin · 2026-09-11Support for the show comes from Vanta. When you run security for a company that's scaling fast, the stakes just keep climbing. More compliance frameworks, more vendors, more risk, and a board that wants to see it all in one place. But your compliance data can be all over the place. Controls in one tool, vendor risk in another, customer customer commitments buried in contracts. Your team has to spend more time stitching it all together and less time running the program. And every quarter you're basing decisions on last quarter's data. Vanta connects it all. Its market-leading Agentic Trust platform is built for enterprise scale with 400+ integrations and continuous monitoring. Vanta automates evidence collection, surfaces the risks that matter, and organizes your audit around your auditor's requirements. And that Vanta agent works around the clock from full program context checks so nothing slips through the cracks. The numbers back this up. Vanta delivers a 526% return on investment over 3 years and pays for itself in 3 months. Vanta is trusted by more than 16,000 companies, including Snowflake, Atlassian, and Ramp. Learn more at vanta.com/markets. That's spelled vanta.com/markets. Support for the show comes from DeleteMe. Nowadays, it's so easy for scammers, stalkers, and hackers to try and harvest your data. But it's important to remember there are always ways to protect yourself. That starts with protecting your data, and DeleteMe can help you do just that. DeleteMe does all the hard work to wipe your personal information from data brokers' websites. It was named the top pick for data removal services by Wirecutter. Our producer Jennifer Sanchez has tried DeleteMe, and she had very nice things to say about it. Also, I've used it. I enlisted— I didn't even know they were a sponsor, and I decided I should probably create some digital hygiene across the ecosystem.
Speaker D · Prof G Markets · OpenAI Says “AGI” Is Here — What Does That Actually Mean? · 2026-09-08Yeah, it's possible. I think Snow had some coattails in terms of the general narrative. I was thinking yesterday that it was like the rally was in place on the consumption of AI, not the construction of AI. Meta's, you know, rally on, you know, this kind of open source model and what they're going to do with it. Obviously, that's been a cheap and neglected stock. Nvidia's hugging face deal also got focus on how are we going to be consuming this, how are we going to be interacting with it? Snowflake as this corporate layer for AI, you know, access as well as opposed to going straight to the models. Yeah, maybe that's a theme that, that does emerge, which nets out better for the big tech platforms rather than the memory chips.
Mike Santoli · Squawk on the Street · 9AM HOUR: Hassett on Jobs Report, Diesel Hits a Record High, Tesla Cybercab Launch Reaction 9/4/26 · 2026-09-04So I like that argument that it's not that they're not impressed by Nvidia, it's that they know they're not going to do 100% earnings growth next year. But in the meanwhile, there are Snowflakes out there. They're like— there are other companies that do have that sort of potential that the world is waking up to that don't trade at a $5 trillion market cap, and the money is shifting from one to the next. All right, I would buy that as a, as a great reason for the rotation, but— and for why it's so healthy.
Josh Brown · The Compound and Friends · How to Pick Stocks Like Morgan Stanley · 2026-09-04My mission is simple, to make you money. I'm here to level the playing field for all investors. There's always a bull market somewhere, and I promise to help you find it. Mad Money starts now. Hey, I'm Kramer. Welcome to Mad Money. Welcome to Kramerica. I'll do my friends. I was trying to make a little money. My job is not just to entertain, but to teach you. So call me 1-800-743-CBC. Tweet me @JimCramer. We're witnessing the revenge of the Magnificent Seven, and most people don't even seem to know it. Kind of like when Return of the Magnificent Seven came out and nobody watched it. Sigh. We've had some stunning winners of late. I know it's Dell people are looking at and they're looking at Snowflake. And of course, there's Salesforce and yes, there's CrowdStrike. I know they're making their shareholders fortunes overnight. You know how much I love that. It's why I endlessly suggest you should own some individual stocks with your index funds. But with the averages taking off today, Dow gaining 624 points, S&P jumping 1.06%, the Nasdaq pulling 1.4%. Perhaps you have to go back and pick at the market's old leadership, the forgotten Mag Seven. Because a lot of them have gotten real cheap. That's right. On a price-to-earnings basis, they've fallen so far behind the other— I'd say many more inferior companies— that I'm beginning to think that's just plain wrong. Why the heck am I suddenly willing to stick my neck out and say positive things about these 7 stocks that have been written off because they've destroyed their balance sheets for the most part, or lost their momentum, or just become plain ugly ducklings?
Jim Cramer · Mad Money w/ Jim Cramer · Mad Money w/ Jim Cramer 9/3/26 · 2026-09-03As I learned 45 years ago when I worked at Goldman Sachs, we used to say everything at a price. With the sole exception of Apple, these— Amazon, Alphabet, Meta, Microsoft, Nvidia, and Tesla— have become forlorn losers. Actually, I think in some degree perennially disappointing, falling way behind the market. So what I have to say is we are at the price. More damning, they just aren't interesting anymore. People don't want to hear about them. Not when you could be at Dell and watch it soar for a second day after magnificent earnings. They aren't going to be sexy like CrowdStrike and Palo Alto. Not in the wake of AI shenanigans and Mythos moment, the cyber whatever. The Mag Seven can't tack on a stunning 17% gain like Snowflake did today. It's breaking out as a way for companies to embrace first the cloud and then AI. They won't rally 100 points in a matter of weeks like the mistakenly left for dead Salesforce. Or the rocket ship that is Dell?
Jim Cramer · Mad Money w/ Jim Cramer · Mad Money w/ Jim Cramer 9/3/26 · 2026-09-03And that has really helped out a number of stocks in the overall market. Particularly, we found Snowflake, a software company, and software stocks were some of the first technology stocks to really come off. So even though we saw, you know, an incredible year for many AI stocks and many semiconductor stocks, software got hit particularly hard because investors felt that AI would take away from the SaaS-based stocks. And lo and behold, Snowflake reports and says that AI is actually helping to make them more efficient, more profitable, and increase sales. So today we've seen a big pickup in the software stocks. Semiconductor stocks still are not doing well, but really what happens if the case proves out for the software stocks, it actually proves that the infrastructure buildout for the data centers and the servers is falling into place. So it actually validates the AI infrastructure and semiconductor story if we see the software stocks do well. Also, as I said, we're hitting sort of a seasonal period, and when you hit seasonal periods, there are peak periods, there are trough periods, and we're coming upon the period where negative sentiment and fear will sort of max out fairly soon. There will probably be exhaustion amongst many investors trying to figure out the rotation. So a lot of the stocks that have fallen sharply will probably start to bottom out fairly soon. So what I wanted to highlight was a number of these growth stocks that have been in the AI segment, either directly or indirectly, have been quite a crowded trade. A lot of hedge funds have been invested in there, institutions have been invested in there, and retail investors have been invested. So what we saw as a terrific period in July, which is captured by a momentum Index. So there are a couple core factors that we look at from a quant perspective. We look at value, growth, profitability, analyst EPS revisions, and momentum. And we have studies that go back almost 250 years where there's empirical data that shows momentum is one of the best factors. And as a factor, it was working out really, really well in July, but then as it went into August, it fell 9%, and that is a dramatic fall for an index in a 1-month period.
Steve Kress · Investing Experts · Momentum, fear & the case for buying the dip · 2026-09-03Oh, nice. No? Yeah. And then we got a bunch of others, somewhat of a lightning round. We have Mohit from Siphon. He's got a big funding round from Altimeter. We have Kalshi from Pocket, sold over 200,000 devices. Yeah. We were talking to Jimmy yesterday. He was saying, why can't— Big companies do hardware. Well, Pocket's doing it. They're making it work. Jimmy did say that he sold— he was like, "Oh, Meta sold 2 million pairs of glasses. I sold 2 million pairs of headphones in Brooklyn," which was a great line. And a bunch of other great teams joining. And we'll cap it off with the CEO of Snowflake coming off a great quarter.
Jordi Hays · TBPN · Model Mayhem, NVIDIA x Hugging Face Deal, GPT-6 Astra | Pablo Torre, Mohit Aron, Akshay Narisetti, Hari Ravichandran, Matt Caldwell & Jordy Leiser, Jeff Thornburg, Charlie O’Neill, Sridhar Ramaswamy · 2026-09-03See you next. We need an elephant. Snowflake. By tomorrow.
Jordi Hays · TBPN · Model Mayhem, NVIDIA x Hugging Face Deal, GPT-6 Astra | Pablo Torre, Mohit Aron, Akshay Narisetti, Hari Ravichandran, Matt Caldwell & Jordy Leiser, Jeff Thornburg, Charlie O’Neill, Sridhar Ramaswamy · 2026-09-03How much time are you spending trying to identify like a venture capitalist, the next company that's going to be a major Snowflake customer? Because I feel like the big labs, you identified them, they're obviously huge consumers of data, huge businesses there. Yeah, but it feels like every time we talk to somebody on the show, there's a new business that's getting venture funding. They're getting users, they're getting revenue. And I can, I can tell that they're just generating a ton of data.
John Coogan · TBPN · Model Mayhem, NVIDIA x Hugging Face Deal, GPT-6 Astra | Pablo Torre, Mohit Aron, Akshay Narisetti, Hari Ravichandran, Matt Caldwell & Jordy Leiser, Jeff Thornburg, Charlie O’Neill, Sridhar Ramaswamy · 2026-09-03