Podcasts about snowflakes

Welcome to the What's Next! Podcast with Tiffani Bova.    This week, I'm delighted to speak with Denise Persson. She is the Chief Marketing Officer at Snowflake and co-author of Make It Snow: From Zero to Billions. Over the last 25 years, Denise has helped build and scale some of the most recognizable enterprise technology companies, including Snowflake, Apigee, and Genesis, guiding organizations through hyper-growth, IPOs, acquisitions, and major market shifts. What I really love about Denise's perspective is that she understands growth isn't just about demand generation or pipeline, it's about building the operational alignment, customer trust, and internal culture that allow companies to scale sustainably. So today we're going to dive right into these topics.    THIS EPISODE IS PERFECT FOR…marketing leaders and growth-focused executives helping teams stay aligned while navigating rapid change and ambitious growth goals.   TODAY'S MAIN MESSAGE…many companies believe growth comes from moving faster, launching more campaigns, or constantly evolving their message. Denise argues the opposite. Drawing from her experience helping scale Snowflake into one of the most successful technology companies in the world, Denise explains why some of the biggest growth opportunities come from creating clarity and not complexity. Denise and Tiffani discuss what happens when organizations grow faster than their processes, why customer advocacy is more powerful than any marketing campaign, and how leaders can balance innovation with consistency.    KEY TAKEAWAYS: Category creation succeeds when customers immediately understand the value. Consistency creates trust for customers, employees, and partners. Hypergrowth often exposes gaps in leadership, hiring, and alignment. Strong data foundations are essential for personalization and AI success.   WHAT I LOVE MOST…Denise's perspective that growth isn't always about doing more. It's often about creating more clarity. In a business environment that constantly encourages organizations to move faster, add more, and chase the next opportunity, her reminder that consistency builds trust feels especially important.    Running Time: 35:00   Subscribe on iTunes    Find Tiffani Online: LinkedIn Facebook X    Find Denise Online: LinkedIn

Most AI failures won't come from a bad model. They'll come from bad data.Shashank Saxena spent most of his career on the buying side of enterprise technology before founding VNDLY which was acquired by Workday for $510 million. He then joined Sierra as a Managing Partner before going full time as Co-founder and CEO of Pantomath, a data operations center for enterprises that are betting their future on AI agents.We discuss why data quality is becoming one of the biggest challenges in enterprise AI. An AI agent fed bad data for 12 hours doesn't go rogue. It just makes 12 hours of wrong decisions: rejecting insurance claims, issuing credit cards, or drilling in the wrong location. As more business decisions are delegated to AI systems, companies will need far greater visibility into what is happening across their data infrastructure.Shashank also shares the decisions that led to VNDLY's acquisition, the advice he'd give founders evaluating acquisition offers today, and why a Michael Jordan analogy continues to motivate him as a second-time founder.If you're building enterprise software, selling to large companies, or trying to figure out whether experience is an asset or a liability in the AI era, this episode is for you.0:00 - Trailer01:00 - How Shashank became a second-time founder07:20 - Where Pantomath sits in the data stack10:55 - How a broken Tableau report turns mission-critical with AI12:55 - Who Pantomath sells to15:35 - Solving for a problem that doesn't exist yet19:03 - How have founder expectations changed today?20:31 - Series B companies pre- and post-AI21:26 - The Michael Jordan example23:57 - How a repeat founder chooses investors25:10 - What value Snowflake adds as a strategic investor27:05 - Data is not an open category today28:34 - The astounding Databricks outcome29:08 - The reality of the $100 million ARR number31:48 - Will non-human workers 100x in the next few years?36:00 - How to protect data in motion37:26 - How comfortable are we giving full access to agents?39:47 - Where is automation fastest today?42:09 - Why entrepreneurs tend to like uncertainty43:28 - Why Shashank chose to be a founder45:48 - A customer-driven $510M acquisition48:32 - Employees vs contractors in any organization51:22 - Building from Ohio vs the Bay Area53:14 - Learnings from selling to enterprises56:31 - How Shashank raised from Tier 1 US VCs59:19 - Heads down or network as a founder?1:02:47 - First-time vs second-time founder edge in AI1:06:22 - Hiring as a repeat founder1:08:08 - How enterprise sales has changed1:10:52 - How do you sell for a problem that isn't visible today?1:12:58 - Best piece of advice1:16:27 - The only advice for a founder considering M&A1:21:06 - Position yourself to be capable of taking risks1:24:51 - What matters to an enterprise buyer?-------------India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us Fan Mail

The AI Build-Out Is Real — And It’s Reshaping How We Invest for Retirement THE TOM DUPREE SHOW  |  PODCAST SHOW NOTES The AI Build-Out Is Real — And It's Reshaping How We Invest for Retirement The Tom Dupree Show  |  Dupree Financial Group  |  dupreefinancial.com  |  859-233-0400  |  Air Date: June 6, 2026 Episode Description Something significant is happening in the markets, and it goes well beyond the daily headlines. On this episode of The Tom Dupree Show, host Tom Dupree sits down with in-house analysts James Dupree and Michael Dawahare to examine the accelerating AI infrastructure build-out — and what it actually means for investors who are at or approaching retirement. The conversation covers the bottleneck stocks driving extraordinary gains in data centers and memory chips, Canada's surprise $1 trillion infrastructure pivot, and why software companies like Snowflake and ServiceNow are proving that AI complements rather than kills their business models. The team also addresses the ongoing Iran conflict, what oil futures markets are signaling, and why the sequence of returns — not average returns — is the number that retirement investors should be watching most closely. “Markets don't drift up — conviction is what moves them higher. Right now, the conviction is building around AI infrastructure, and the fundamentals are finally starting to catch up with the story.” Topics Covered AI infrastructure bull case — why the fundamentals are finally catching up with the story Micron, data centers, and the bottleneck theme — the stocks supplying scarce components for the AI build-out Jensen Huang's public endorsement of Marvell Technology — what a declaration like that signals to institutional investors Agentic AI explained — what it means for your phone, your business, and your portfolio Canada's $1 trillion infrastructure pivot — global validation of the AI build-out thesis from an unlikely source Software stocks proving their staying power — how ServiceNow and Snowflake are showing AI and software can coexist How AI is already driving revenue gains — consumer companies reporting explosive results from targeted AI marketing The Iran conflict and oil futures — what prediction markets and WTI pricing are signaling about resolution Sequence-of-returns risk in retirement — why when your portfolio loses matters more than how much it earns on average Dupree Financial Group's in-house research approach — knowing what you own and why, not just riding an index Key Takeaways The AI build-out thesis is getting real-world validation.  PMI data hit a four-year high this week, suggesting genuine economic activity is accelerating alongside AI infrastructure investment — not just market narrative. Bottleneck stocks carry both opportunity and serious risk.  Companies supplying scarce components for data centers have posted extraordinary gains, but volatility cuts both ways. Position sizing and portfolio context matter. Software isn't dead — it's adapting.  Snowflake and ServiceNow are reporting earnings that prove their platforms work alongside AI tools, not against them. Productivity gains, not replacement, is the emerging story. Global capital is aligning behind AI infrastructure.  Canada's sharp $1 trillion policy reversal covering energy, data centers, and defense adds significant international weight to the same thesis driving U.S. markets. How AI gets monetized is still being figured out.  Business-to-business subscriptions and API-based usage models are the most likely path forward, but valuations remain stretched until earnings consistently catch up. Sequence-of-returns risk is retirement's hidden danger.  A portfolio drop in year one of withdrawals — even if markets recover later — can permanently reduce the income your portfolio generates. Dividend-focused portfolios are built to absorb that risk. In-house research is how you truly know what you own.  Dupree Financial Group's analysts study these sectors every day so clients hold positions they understand — not just exposure to the broadest index available. The Iran situation is complex, but markets are pricing in a resolution.  Oil futures for July through September are trading in the $70–$80 range, suggesting the futures market expects the conflict to ease — though the IRGC's fractured structure makes certainty impossible. About The Tom Dupree Show The Tom Dupree Show is hosted by Tom Dupree, founder of Dupree Financial Group and a 47-year veteran of the investment business. Each episode covers the financial topics that matter most to retirees and those approaching retirement — in plain English, without the Wall Street spin. Dupree Financial Group is a fee-only, fiduciary Registered Investment Advisory firm based in Lexington, Kentucky. The firm manages separately managed accounts focused on income-generating, dividend-paying portfolios — no products sold, no commissions, no conflicts of interest. Past episodes are available at  dupreefinancial.com  under the Radio tab. Schedule a Complimentary Portfolio Review If you're not sure whether your retirement portfolio is built to generate income through market turbulence — or if you're just riding an index fund hoping for the best — we'll take a look. No charge. No pressure. Just an honest conversation about what you own and whether it's working for you. Call:  859-233-0400   |   Visit:  dupreefinancial.com Dupree Financial Group is a Registered Investment Adviser (RIA) registered with the U.S. Securities and Exchange Commission. Registration does not imply a certain level of skill or training. The information presented on The Tom Dupree Show is for educational and informational purposes only and should not be construed as personalized investment, tax, or legal advice. Past performance is not indicative of future results. Investing involves risk, including the possible loss of principal. Please consult a qualified financial professional before making any investment decisions. The post AI Infrastructure Stocks & Your Retirement Portfolio appeared first on Dupree Financial.

Agentic AI is being misread as a series of separate battles - e.g. Snowflake vs. Databricks, copilots vs. agents, model makers vs. app vendors, etc. We think the real story is that the biggest opportunity in software is converging around who owns the new intelligent client and the AI back end that makes it useful. The new client is the agent-based system of engagement - Snowflake's CoWork & CoCo, Databricks Genie, Microsoft Copilot, Google Gemini Enterprise, ChatGPT/Codex, Claude/Cowork and others. But that client cannot deliver business outcomes without a new back end - what we call a System of Intelligence - that represents a model of the enterprise in terms of its business rules and tacit knowledge. You can't build one without the other. We frame this premise using Clay Christensen's integrated innovation and Jensen's extreme co-design as applied to enterprise software.That is why Snowflake is the focal point for this Breaking Analysis, but not the whole story. Snowflake is not just competing with Databricks anymore. It is now in the same strategic arena as Microsoft, Google, OpenAI, Anthropic, Salesforce, SAP, ServiceNow, Celonis and others - all trying to define where business users, builders and agents get work done, and where the enterprise context that powers that work gets built.

Send us Fan MailGabe and I dig into Shiny Hunters and why the scariest cyberattacks now look like ordinary logins instead of dramatic break-ins. We map how credential theft, social engineering, and SaaS data exports turn basic security hygiene into the difference between a close call and a headline. • Shiny Hunters' scale, loose structure, and why takedowns rarely stick • Why ransomware and extortion keep growing as a business model • How the tactics evolve from Microsoft 365 and developer creds to SaaS platforms like Salesforce • Credential stuffing, vishing, and smishing as “low-friction” intrusion paths • The Snowflake-style failure mode of missing MFA and weak password practices • Password reuse and how consumer breaches can cascade into enterprise access • Data retention and why old records increase privacy risk • Vendor risk and the shared responsibility model for identity and data • Practical steps that improve security without relying on perfect users If you guys have not been to our website, theproblemlounge.com, check it out. Got some new blogs up there. Sign up for the newsletter. Support us, follow us. Let's get this out to more people. Support the show

Another good month – investors are giddy. Oil – CRITICALLY LOW inventory (Inside Baseball). Fed governor admits inflation is hard to control. A major name says they are reducing stocks – but are they really? Announcing the Winner of the CTP for Salesforce (CRM). PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? PayPal.Donation.Button({ env:'production', hosted_button_id:'JJJHP2GDEJC7J', image: { src:'https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif', alt:'Donate with PayPal button', title:'PayPal - The safer, easier way to pay online!', } }).render('#donate-button'); Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - Another good month - investors are giddy - Oil - CRITICALLY LOW inventory (Inside Baseball) - Fed governor admits inflation is hard to control - A major name says they are reducing stocks - but are they really? - Announcing the Winner of the CTP for Salesforce Markets - Huge reversal in Software stocks - A few names on the move - and moving BIG! - SpaceX IPO - could drain markets - More AI valuations through the roof Pizza Mouth ! Reversal - Software stocks bounced this week on strong results from Snowflake and Okta, which both recorded their best days on record. - The results signal that investors may have been too quick to declare the end of software with the emergence of artificial intelligence. - Even as AI displaces certain tools and job functions, many software companies continue to show growth, assisted by their own AI products. - The iShares Expanded Tech-Software exchange-traded fund rose 8% this week and closed May up 21%, the best monthly performance for the ETF since October 2001. - With this month's rally, the iShares software ETF is only down 3.8% for the year, still badly trailing the Nasdaq, which has gained 18% in 2026. Snowflake - Amazon said Wednesday that its cloud division has landed a $6 billion spending commitment from Snowflake, which includes the use of the company's custom silicon and chips for artificial intelligence. - Snowflake's purchase of services and technology from Amazon Web Services will occur over five years, according to a press release about the agreement. - Snowflake intends to expand its use of Amazon's Graviton general-purpose chips, as well as cloud-based graphics processing units for AI. - Snowflake and Amazon are frenemies - they compete but also partner with each other. - Stock up 36% on this news DELL!!!!!!!!!!!! - Dell Technologies Inc. shares surged due to an outlook for annual sales that far surpassed expectations on demand for servers that power artificial intelligence work. - Revenue in the fiscal year ending in January 2027 will be about $167 billion, including $60 billion from the sale of AI servers, topping analysts' average estimate of $142.1 billion. - The company booked $24.4 billion in AI orders and generated $16.1 billion in AI server sales in the quarter ended May 1, with Chief Operating Officer Jeff Clarke saying “The AI opportunity shows no signs of slowing.” - The shares surged 33% to $420.91 at the close Friday in New York, the biggest single-day increase in the more than seven years since the hardware maker returned to the public markets after a five-year hiatus as a private firm. - Up 150% YTD More Dell - New XPS 13 at $699 targets price-sensitive market - Aims to compete with MacBook Neo, lower-end Windows devices - Launch amid global memory chip crunch to gain market share - WINING OVER JCD: -- 13.4-inch screen (very compact footprint) Options: 2K / 2.5K LCD (120Hz) OLED touchscreen (higher contrast)| - Very thin bezels ? almost edge?to?edge screen - Weighs 2.2 lbs - one of the lightes out there and a rival to Apple's Macbook Neo Infighting - OpenAI may release multi-chip AI software, challenging Nvidia's (NVDA) ecosystem advantage, according to The Information - Oh, and NVDA is now releasing a CPU for PCs that is aggrevating Intel and AMD Kaboom! - Blue Origin's New Glenn rocket exploded in a massive fireball while undergoing a test on a Florida launchpad, dealing a major setback to the company. - The explosion is the latest blow to New Glenn's reputation as a reliable alternative to SpaceX's Falcon 9, and Blue Origin's launch schedule is certain to suffer significant delays. - The incident will also affect Amazon's ambitions to build out its Leo satellite network and may delay Blue Origin's role in NASA's Artemis program, which aims to send humans back to the moon. - As important as it will be for Blue Origin to diagnose the cause of the rocket explosion, it could take many months to repair its launchpad in Florida. Taking Down - Really? - BlackRock Inc. is trimming its bet on stocks across its model-portfolio business as US equities surge to record highs following a strong earnings season. - The firm cut its overweight position in equities from 3% to 1%, triggering billions of dollars of flows between BlackRock's exchange-traded funds. - BlackRock remains confident in equities and will maintain positions that bet on growing corporate profits, artificial intelligence and government spending, but is rotating away from longer-dated US debt in favor of global fixed-income and liquid alternatives. Slight - SpaceX is targeting a valuation of at least $1.8 trillion in its initial public offering, according to people familiar with the matter. - The company is seeking to raise as much as $75 billion, which would make it the biggest IPO of all time, and is expected to start formal marketing of its IPO as soon as June 4. -SpaceX had $18.7 billion in revenue in 2025, and the company's pitch to investors shows its evolution into an AI services and infrastructure giant with a total addressable market of $28.5 trillion. - 3-5% of the shares will be floated (TIGHT) Strategy: keep supply constrained, which: supports price discovery maintains founder control creates early scarcity dynamics - - - SpaceX has reserved 5% of the shares ?in its planned initial public offering for certain employees and individuals selected by its executive officers, exempting them from post-IPO lock-up restrictions AND.. Even more Valuations - AI giant Anthropic is now worth more than OpenAI. - Anthropic announced a $65 billion Series H financing at a $965 billion valuation, a round led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital. - The financing puts its valuation above that of rival AI lab OpenAI. - The valuation has TRIPLED since February Let's GO! - Shares of LG Electronics surged as much as 24% after the company announced a series of automotive innovations built with technology from Alphabet Inc.'s Google. - The company said its new range of solutions is built on Android automotive operating systems. Its system can control multiple displays with different aspect ratios at the same time by using a single-on-chip, which is different from other conventional in-vehicle display systems, LG said. - But 24% on this news? - More reason that the KOSPI is moving higher No One Care - But... - Inflation has been above the 2% target for 5 years now - Minneapolis Federal Reserve President Neel Kashkari said Thursday that bringing down inflation in the U.S. remains his top priority, warning that consumer prices are still “much too high.”| - Speaking to CNBC's Kaori Enjoji at the Bank of Japan-IMES Conference, Kashkari said that the U.S. central bank would continue taking a “balanced approach” to its dual mandate of price stability and full employment. - 5 YEARS! ---- What that tells us is that the Fed is totally unable to do anything about inflation .... Are we the only ones that see that? Inside Baseball - From a colegie that will go un-named. --- Let's just say he is someone who knows what they are talking about and runs BIG money ----- This is what he said to me..... - Apparently, oil execs were opining with POTUS in meetings yesterday that oil inventories are at alarmingly low levels and oil prices could soon skyrocket (I might soften that language a bit but they know the oil biz better than me) if SoH does not open soon. - I ran a few numbers on total oil inventories including and excluding the SPR. - Total supplies are 10th percentile vs history (although that includes a period when the SPR ramped from 0 to 600mln barrels in the 1980's). - Today it is 4th percentile if you start from 1990 when the SPR was basically full. - The 4 week net and % draw the last 3 weeks are the largest draws of all time. - And not surprising the 1 week net and % draw of the SPR are also the 2 largest draws of all time the last 2 weeks. Surprised - No.... --- This is another story similar to what we saw a few months ago - Taiwan prosecutors suspect that three individuals smuggled at least one shipment of Nvidia Corp. AI chips to China after first exporting them to Japan. - The trio was detained for allegedly falsifying documents related to exports of Super Micro Computer Inc. servers containing advanced Nvidia chips, which the US has barred from sale to China without a license. - Taiwan authorities seized about 50 servers for which they accuse the trio of preparing fraudulent export documents, but at least one shipment had already gone through Taiwan customs and made it to Hong Kong. Under/Over? - Tesla will be somehow folder/merged or taken over by SpaceX in an all stock deal - Tesla market cap is $1.6 Trillion so that will be a tough one to take on as SpaceX is about equal in size. ---- If this happens, when ? Mini Retirement - Is this a THING? - A mini retirement is when you take a planned break from working, usually for a few months to a couple of years, instead of waiting until age 65+ to fully retire. - Tim Feerris popularized this... (4 day workweek dude) Step 1: Work & save aggressively 2–10+ years Build a specific “freedom fund” Step 2: Take time off 3 months to 2 years Travel, recharge, pursue interests, or experiment with new ideas Step 3: Return to work Same career… or pivot to something new Then repeat if desired.   Love the Show? Then how about a Donation? Announcing the THE CLOSEST TO THE PIN for SALESFORCE (CRM)   Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Patrick Moorhead and Daniel Newman cover Daniel's acquisition of Enterprise Technology Research, IBM's historic $15 billion single-day commitment spanning quantum and open-source security, Anthropic's Claude Opus 4.8, and the heaviest single earnings night of the season featuring Dell, Marvell, Salesforce, Synopsys, Snowflake, HP, and Micron crossing $1 trillion in market cap. The handpicked topics for this week are: Anthropic Releases Claude Opus 4.8: Six Weeks After 4.7 Anthropic dropped Opus 4.8 just six weeks after 4.7, claiming it surpasses GPT-5.5 and Gemini 3.1 Pro on agentic coding, knowledge work, and computer use. Benchmark improvements across the board: agentic coding up from 64.3% to 69.2%, knowledge work from 1753 to 1890, agentic computer use from 82.8% to 83.4%. Three new features ship alongside it: Dynamic Workflows for multi-subagent orchestration inside Claude Code, Effort Control for managing token spend, and mid-task system messages via the API. Fast mode is now 2.5x faster and 3x cheaper. Pat's honest take: what it says on paper is good, particularly on tool triggering and citation precision, but he has lost significant trust in the company and is watching closely. (The Decode)   IBM Commits $10 Billion to Quantum: The Largest Single Quantum Bet in History IBM announced a $10 billion commitment over five years targeting a large-scale fault-tolerant quantum computer by 2029, landing the same day as the $5 billion Project Lightwell announcement for a single-day IBM strategic commitment of $15 billion. Pat has been calling 2029 to 2031 as the realistic commercial quantum window and calls this the strongest single corporate financial signal yet that the timeline is real. Daniel's framing: IBM wants to be the NVIDIA of quantum, and with a $10 billion commitment, it's sending a flare to the entire industry that pure-play quantum companies cannot compete at this balance sheet level. (The Decode)   IBM and Red Hat Launch Project Lightwell: $5B to Secure Open-Source Software IBM and Red Hat committed $5 billion and a global force of 20,000 engineers to secure open-source software for enterprises through frontier agentic AI, anchored by 11 of the largest US and Canadian banks including Bank of America, Goldman Sachs, JPMorgan Chase, Mastercard, and Visa. Pat's read: this is the productization answer to Anthropic Mythos. Mythos found the vulnerabilities. Lightwell is the industrial-scale patching and validation layer enterprises can actually buy on a subscription. Daniel adds that IBM is flexing its engineering talent base as a premium strategic asset, a direct counter to the narrative that AI replaces engineers. (The Decode)   Anthropic Project Glasswing: 23,000 Vulnerabilities Found Across 1,000 OSS Projects Anthropic's Claude Mythos scanned more than 1,000 widely deployed open-source projects and surfaced approximately 23,000 candidate vulnerabilities, with 1,094 confirmed as critical severity. The Cyber Verification Program now gates the strongest cyber-capable Claude variant behind vetted defenders only. While the tool creates real value, the surface of attack will likely grow as fast as any tool built to defend it. (The Decode)   Anthropic in Talks to Run Claude on Microsoft Maia 200 CNBC and The Information reported Microsoft is in active negotiations to supply Anthropic with its custom Maia 200 inference chip, which would make Anthropic the only frontier lab simultaneously running production workloads on four distinct silicon stacks: NVIDIA, AWS Trainium, Google TPU, and Microsoft Maia. Pat's context: Maia 200 delivers 30% better tokens per dollar than the latest Azure fleet per Satya Nadella, and this deal would be Maia's first major external deployment. Daniel's read: what can be built will be sold right now, and Anthropic chasing every available compute source is simply the structural reality of growing at 80x when you planned for 10x. (The Decode)   The Flip: Is AI CapEx Too Expensive to Earn Its Return? Pat takes the affirmative. With $725 billion in hyperscaler CapEx tracking for 2026, likely $1 trillion next year, memory has become the choke point making it even more expensive, and open-source models have closed enough of the quality gap for most enterprise tasks that the premium of frontier APIs is increasingly hard to justify. A recent Signal65 white paper shows on-prem payback at 18 months. Daniel's counter: Dell just booked $24 billion in AI orders in a single quarter. Agentforce crossed $1 billion ARR at 169% growth. NVIDIA guided to $91 billion. Only 20% of enterprises are using AI and only 2% of consumers. Both hosts admitted off the flip their notes looked nearly identical. (The Flip)   Micron Crosses $1 Trillion Market Cap Micron became the 12th US company ever to cross $1 trillion in market cap, surging 19% on May 26th as UBS raised its price target to $1,625, implying a $1.8 trillion market cap. Samsung's Q1 memory ASP jumped 146% year over year. DRAM spot prices spiked 55 to 60% quarter over quarter. Daniel has been pounding this call since sub-$100 and calls it a cycle elongated beyond anything seen in the 27 prior memory cycles, driven by HBM capacity reallocation away from consumer DRAM creating structural shortage. (Bulls and Bears)   Dell Technologies Q1 FY27: The Biggest Enterprise AI Infrastructure Print of 2026 Record $43.8 billion revenue, up 88% year over year, crushing the $35.7 billion consensus by $8 billion. AI-optimized servers at $16.1 billion, up 757% year over year. $24.4 billion in AI orders booked in a single quarter. FY27 AI server revenue guide raised from $50 billion to $60 billion. Non-GAAP EPS of $4.86 beat the $2.96 consensus by 64%. Stock up 18% after hours. Pat's framing: Dell was very clear about what they were going to do. Rack engineering, sales, and service. The basics. And they executed the basics at an extraordinary level while building a special relationship with NVIDIA who views Dell as a market maker for both enterprise and NeoCloud. Daniel's add: play nice and win. Michael Dell navigated the political landscape brilliantly and pulled the entire Dell brand along with him. (Bulls and Bears)   Marvell Technology Q1 FY27: Record Revenue, Data Center at 76% of Mix Record $2.418 billion revenue, up 28% year over year. Data center at $1.833 billion, up 27% year over year, now 76% of total revenue. Q2 guide of $2.7 billion at midpoint accelerates growth to 35% year over year. Operating cash flow a record $638.8 million. Daniel went on TV and said it's "written in the stars," arguing the market had misunderstood this one for too long by conflating its custom AI ASIC story with the full breadth of its connectivity and networking portfolio. Pat's closing: the shorts are eating it now and the custom AI ASIC versus merchant GPU debate is finally settling into the right answer, which is both in lockstep. (Bulls and Bears)   Salesforce Q1 FY27: Agentforce Crosses $1 Billion ARR Revenue $11.13 billion, up 13% year over year. Non-GAAP EPS of $3.88 crushed the $3.12 consensus by 24%. Agentforce ARR crossed $1 billion, up 169% year over year, with 28.6 trillion tokens processed, up 152% quarter over quarter. 50% of Agentforce bookings came from existing customers expanding. Daniel flagged the $25 billion accelerated buyback funded by new debt as an interesting signal worth watching. Pat's bottom line: it's not perfect, but certainly no "SaaSpocalypse" in those numbers. (Bulls and Bears)   Synopsys Q2 FY26: First Full Quarter With Ansys Integrated Revenue $2.276 billion, up 42% year over year, beating consensus. Non-GAAP EPS of $3.35 beat $3.15. FY26 guide raised to $9.665 billion midpoint. Daniel's framing: every chip runs through Synopsys tools, and the Ansys addition makes it the full-stack co-design platform Jensen Huang keeps talking about. Synopsys is not just the pick and shovel of current AI silicon. It is the pick and shovel of quantum, robotics, and space as well. (Bulls and Bears)   Snowflake Q1 FY27: Strongest Sequential Dollar Growth in Company History Product revenue $1.33 billion, up 34% year over year, the strongest sequential dollar growth in Snowflake history. Net revenue retention 126%. FY27 product revenue guide raised to $5.84 billion. Natoma acquisition announced for secure agentic enterprise connectivity. New $6 billion multi-year AWS commitment. Daniel's closing: proprietary unique data is the real moat of the agentic era, and that data has to live somewhere. It is going to go to platforms like Snowflake. (Bulls and Bears)   HP Inc. Q2 FY26: Eight Straight Quarters of Growth With AI PCs at 44% of Shipments Revenue $14.4 billion, up 9% year over year, the company marks its eighth consecutive quarter of top-line growth. Non-GAAP EPS of $0.86 beat the prior guide. Personal Systems at $10.2 billion, up 13%, with 30% operating profit growth. AI PCs jumped from 35% to 44% of shipments quarter over quarter, with HP guiding to 60 to 70% next fiscal year. FY26 EPS guide raised. Pat's note: they still need a permanent CEO, which would help investors sleep better at night. Daniel's add: the real explosive moment for device companies comes when AI moves to the edge and enterprises shift from expensive frontier model consumption to on-device inference. (Bulls and Bears)   Everpure Q1 FY27: Record Revenue, Rebrand Complete Record revenue of $1.1 billion, up 35% year over year. Product revenue $577 million, up 55%. Subscription ARR at $2 billion. FY27 guide raised to $4.41 to $4.51 billion. Pure Storage officially completed its rebrand to Everpure. Daniel's emerging thesis: the agentic era has focused enormous attention on memory and compute, but after the inference runs, the data has to sit somewhere. Storage has not seen its full inflection yet and Everpure is well positioned when that wave arrives. (Bulls and Bears)   The Decode Anthropic Releases Claude Opus 4.8 May 28  https://techcrunch.com/2026/05/28/anthropic-releases-opus-4-8-with-new-dynamic-workflow-tool/ IBM Commits $10B Over Five Years to Quantum Computing the Same Day as $5B Project Lightwell, Bringing IBM's One-Day AI https://www.barrons.com/articles/ibm-stock-quantum-computing-aafbb1eb IBM + Red Hat Announce Project Lightwell  https://newsroom.ibm.com/2026-05-28-ibm-and-red-hat-commit-5-billion-to-redefine-the-future-of-open-source-in-the-ai-era Anthropic Project Glasswing / Claude Mythos Finds 23,000 Potential Vulnerabilities Across 1,000+ Open-Source Projects https://www.securityweek.com/anthropic-mythos-detected-23000-potential-vulnerabilities-across-1000-oss-projects/ Anthropic Negotiating to Run Claude on Microsoft's Maia 200 AI Chips  https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html OpenAI + Anthropic Walk Back the AI Jobs Apocalypse Ahead of IPOs https://finance.yahoo.com/sectors/technology/articles/ai-chiefs-walk-back-job-193605798.html https://x.com/RiskCentre/status/2059397756016611668 The Flip Is AI Capex Becoming Too Expensive to Earn Its Return — and Will the Result Be a Forced Shift to Open-Source and Smaller Use-Case-Specific Models, or a Continued $725B+ Hyperscaler Buildout That Vindicates the Capex on Productivity Gains? FOR:  The shift is to open-source + smaller use-case-specific models with better token economics, not away from AI https://x.com/danielnewmanUV/status/2059822712122400975 DeepSeek 75% permanent price cut + Anthropic Claude Code restriction reversal https://www.buildfastwithai.com/blogs/ai-news-today-may-26-2026 $190B Microsoft capex + $725B+ aggregate hyperscaler capex with no analog ROI yet  https://www.buildfastwithai.com/blogs/ai-news-today-may-26-2026   AGAINST:  Salesforce Agentforce ARR crossed $1B this quarter on 28.6T tokens processed  https://www.stocktitan.net/sec-filings/CRM/8-k-salesforce-inc-reports-material-event-3b8ead2852bb.html Lenovo +105% AI revenue, +84% Q4; Dell $43B AI backlog: the AI infrastructure flywheel is converting capex to revenue today https://investor.marvell.com/news-events/press-releases/detail/1023/marvell-technology-inc-reports-first-quarter-of-fiscal-year-2027-financial-results NVIDIA $91B Q2 guide + $1T Blackwell+Vera Rubin CY25-CY27 reaffirmed  https://www.cnbc.com/2026/05/20/were-raising-our-price-target-on-nvidia-after-another-knockout-quarter-and-guide-.html DeepSeek + Chinese price war is a Chinese export-controls story, not a US economic ceiling story https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html   Bulls & Bears Micron (NASDAQ: MU) Crosses $1 TRILLION Market Cap for the First Time https://www.cnbc.com/2026/05/26/micron-stock-trillion-market-cap.html Dell Technologies Q1 FY27 ACTUALS  https://www.cnbc.com/2026/05/28/dell-q1-earnings-report-2027.html Marvell Technology Q1 FY27 ACTUALS https://investor.marvell.com/news-events/press-releases/detail/1023/marvell-technology-inc-reports-first-quarter-of-fiscal-year-2027-financial-results Salesforce CRM Q1 FY27 ACTUALS  https://investor.salesforce.com/financials/quarterly-results/ Synopsys SNPS Q2 FY26 ACTUALS https://investor.synopsys.com/events-and-presentations/events/event-details/2026/Q2-Fiscal-Year-2026-Earnings/default.aspx Snowflake SNOW Q1 FY27 ACTUALS  https://www.businesswire.com/news/home/20260527027931/en/Snowflake-Reports-Financial-Results-for-the-First-Quarter-of-Fiscal-2027 HP Inc. HPQ Q2 FY26 ACTUALS https://finance.yahoo.com/markets/stocks/articles/hp-q2-earnings-call-highlights-230459161.html Everpure (NYSE: P, formerly Pure Storage) Q1 FY27 ACTUALS  https://investor.salesforce.com/financials/quarterly-results/ Synopsys SNPS Q2 FY26 ACTUALS https://investor.synopsys.com/events-and-presentations/events/event-details/2026/Q2-Fiscal-Year-2026-Earnings/default.aspx Snowflake SNOW Q1 FY27 ACTUALS  https://www.businesswire.com/news/home/20260527027931/en/Snowflake-Reports-Financial-Results-for-the-First-Quarter-of-Fiscal-2027 HP Inc. HPQ Q2 FY26 ACTUALS  https://finance.yahoo.com/markets/stocks/articles/hp-q2-earnings-call-highlights-230459161.html Everpure (NYSE: P, formerly Pure Storage) Q1 FY27 ACTUALS https://www.prnewswire.com/news-releases/everpure-announces-first-quarter-fiscal-2027-financial-results-302783502.html

BONUS: How AI Is Reshaping Software Teams From the Inside — Lessons From Google, Meta, and Snowflake In this episode, Dwarak Rajagopal — VP of AI Engineering and Research at Snowflake — shares what he's seeing firsthand as AI agents become part of the software development process. From compressed sprint cycles to automated standups across time zones, Dwarak draws on two decades of building AI infrastructure at Google, Meta, Uber, and Apple to show what's actually changing inside engineering organizations today. From Compiler Engineer to AI Leader — The Thread That Connects Two Decades "In AI, the hardest part isn't just the models itself, it's making them work in real environments where data is messy, fragmented, and governed."   Dwarak started his career as an open-source GCC compiler engineer over two decades ago, optimizing hardware performance. He moved into graphics at Apple, then pivoted to AI when AlexNet started running on GPUs around 2011-2012. From there, he built autonomous driving software at Uber, led Meta's PyTorch core framework team bridging research and production, and at Google led AI Frameworks including getting Gemini training on TPUs. The common thread: always working at the intersection of research and production, making powerful technology work in the real world. That focus on real-world application is what drew him to Snowflake — where enterprise data meets AI at scale. AI Is Changing What Engineers Actually Do All Day "Engineers are spending more time on system design, validation, production reliability — and less time doing the implementation itself, because AI is helping that."   The shift Dwarak sees is concrete: AI is accelerating development, but the real value comes when it's grounded in enterprise data and context. At Snowflake, teams use tools like Cortex Code, Snowflake Intelligence, and other LLMs to generate code and tests faster — because the friction cost of development has dropped dramatically. Customer example: Whoop, the fitness band company, used Cortex Code with conversational data assistance and agents to reduce development cycles from weeks to hours, freeing teams to focus on high-value work. The End of "This or That" — Try Both, Kill Fast "There's a lot more choices now. You don't have to think about this versus that. Do both and then figure out what is the best."   One of the most practical shifts Dwarak describes: teams no longer need to commit to one architectural approach upfront. Because AI reduces the cost of building, teams can pursue two designs in parallel and evaluate both. A concrete example: instead of choosing a cross-platform framework like Flutter or React Native for a mobile app, Snowflake's teams now build native iOS and Android apps simultaneously — one human-led, the other agent-built — at roughly the same speed. But this creates a new challenge: teams have to learn to kill projects faster. When you can build more, you also discard more — and engineers need to detach from "their baby." Smaller Teams, Bigger Output — The Cross-Functional Shift "You could build multiple products now faster with different smaller teams. One back-end person, one front-end person — build vertically end-to-end."   Dwarak's teams moved from functional structures (separate backend, frontend, and feature teams) to project-based teams that own the full vertical stack. This isn't theoretical — Snowflake Intelligence was built this way. The result: fewer dependencies, faster delivery, more products in parallel. The tradeoff is coordination cost — more things running in parallel means more decisions to synchronize. Recruiting Has Fundamentally Changed — Systems Thinking Over Syntax "We used to ask an engineer to code a specific search algorithm. Now we ask them to build a whole search system within an hour."   Dwarak is clear: fundamentals matter more than ever. Systems thinking, judgment, the ability to work with complex data and production systems — these are what hiring evaluates now. AI handles execution; humans need to define problems clearly and ensure systems behave at scale. For junior engineers, the news is encouraging: onboarding is faster because team-specific skills are codified and shared, and the barrier to building end-to-end systems has dropped. "Learning by building is more true than ever now." Monday Planning, Friday Demos — The Compressed Sprint "You basically decide what to do on Monday, and you're testing together as a team on Friday and getting the feedback for the next week."   Daily work has transformed at Snowflake. The traditional multi-week sprint has compressed to a single week: Monday planning, Friday team demos and testing. Standups still happen — but faster, sometimes multiple times per day. For distributed teams across Bay Area, Seattle, and Poland, an automated skill scans each day's code changes and posts a summary in a shared Slack channel — so the next timezone knows exactly what happened without waiting for a meeting. This solves one of the oldest problems in distributed development. The Road to Lights-Out Codebases — Governance, Observability, Reversibility "Can agents take actions? Which of these actions cannot be taken back? You need the concept of committing actions or rolling back."   Building on the "lights-out codebases" concept from Philip Su's episode, Dwarak agrees the direction is clear — agents are already writing more code than humans in some contexts. But enterprise adoption requires governance, observability, traceability, and reversibility of agent actions. The shift from "AI as a tool" to "AI as part of the system" is happening now, with the focus moving from getting answers to enabling actions at scale. What Most People Get Wrong About AI in Software "It's very easy to build prototypes, even end-to-end systems. But it's very hard to get it working in enterprises where the data is so messy."   The gap between demo and production is where most organizations hit the wall. Enterprise data is scattered across invoices, factory outputs, and dozens of systems — combining it meaningfully for AI to generate insights and actions is the real challenge. This is different from the "AI will replace developers" narrative. The bottleneck isn't code generation; it's data integration, governance, and controlled execution at scale. About Dwarak Rajagopal Dwarak Rajagopal is VP of AI Engineering at Snowflake, where he leads the Cortex AI and AI Research teams. Before Snowflake, he led Google's AI Frameworks and On-Device ML teams (including Gemini), ran Meta's PyTorch Core Frameworks team, and built autonomous driving software at Uber. Two decades of shipping AI at the companies that define the field.   You can link with Dwarak Rajagopal on LinkedIn.  

It's been a few months on the road, bouncing through San Francisco a bunch, across Asia and Europe, and a quick stop in Detroit. In this audio-only Freestyle Friday I unpack what I've been seeing out there. If I had to pick one word for the mood worldwide, it's uncertainty: energy and supply shocks rippling out of the Middle East, fuel and resource shortages, flights getting canceled with no notice, and AI scrambling the playbook for vendors, practitioners, and leaders alike.I get into why so many data tooling companies are quietly having existential conversations, how Atlan tore its product down to rebuild AI-native (a full conversation with Prukalpa is coming next week), and a fun experiment I shipped this week with DuckDB Quack.I also dig into the split I keep seeing: senior practitioners getting superpowers while juniors face a brutal job market, leaders being asked to do far more with less, and why I think the industrial-age org chart is finally on its way out.Plus some personal updates: the new book is now targeting late July and a companion course is on the way.Finally, I'm mixing audio and video formats going forward (Freestyle Friday will probably be mostly audio), the Practical Data Community newsletter is live, and there's a Salt Lake City conference brewing for late January. Lots in the hopper...------------------This episode is sponsored by Revefi, who gives you full cost and performance visibility for Snowflake by warehouse, user, and workload. One team cut Snowflake costs ~50% across 711 warehouses in under 48 hours. Book a demo at revefi.com/demo.------------Timestamps0:00 — Intro & travel recap — Sets the stage: months of globe-trotting across Asia, Europe, and the US1:10 — Global uncertainty & resource scarcity — Fuel/water shortages in Southeast Asia, flight cancellations in Europe, ripple effects of geopolitical tensions5:30 — AI dominates every conversation — The #1 topic at conferences worldwide; vendors facing existential questions and forced to rethink everything (Atlan pivot, DuckDB agent idea)10:14 — AI's impact on workers at every level — Senior practitioners gaining superpowers, juniors worried about jobs, leaders expected to do more with less17:51 — Key takeaway: everyone feels behind — Even top AI insiders are uncertain; give yourself grace, upskill, and consider building something for yourself20:38 — Announcements — Book drops July 27th, course coming, Practical Data Community Newsletter live, fall travel schedule (London, Paris, possible Salt Lake City conference)

Everyone says AI is taking jobs. The data says something more complicated.In this episode of This Week in European Tech, Dan Bowyer and Mads Jensen of SuperSeed unpack the growing panic around AI-driven job losses, why junior hiring is falling across many industries and whether AI is actually the culprit.They explore new research suggesting remote work may be having a bigger impact on entry-level employment than AI, discuss the UK's record number of young people not in employment, education or training and examine what the data really shows about automation and labour markets.They also cover Anthropic's latest model release, the rise of AI application-layer companies, Europe's sovereignty debate, the economics of AI infrastructure and a zero-employee AI company that just raised $30 million.Topics coveredIs AI really replacing workers?Why junior hiring is fallingWhat the data says about AI and employmentAnthropic's rise and Opus 4.8Why the AI application layer is winningEurope's tech sovereignty dilemmaThe zero-employee AI company phenomenonAI infrastructure beyond GPUsTimestamps(00:00) The rise of the zero-employee AI company(04:50) Why AI applications are becoming more valuable(09:00) AI infrastructure moves beyond GPUs(16:00) Snowflake, Salesforce and enterprise AI adoption(24:00) Anthropic's latest model and valuation surge(27:00) Europe's sovereignty dilemma(33:00) The $30 million zero-employee AI startup(35:45) Is AI actually taking jobs?(38:00) What the data says about junior hiring(41:00) Why AI may not be the main cause(46:00) Predictions: which AI unicorn could fail next?(48:00) Deal of the week: Cognition and DevinFor more European venture, AI and startup insights, subscribe to EUVC, the home of European tech.

The stock market is back at all-time highs, with the Dow, S&P 500, and Nasdaq all closing at new records. The S&P 500 also posted its 9th straight week of gains, but as exciting as this moment feels, it is important to remember: this too shall pass.In this Friday market recap, James breaks down why investors should avoid getting too emotional when markets are up or down, how the AI revolution is still driving this market cycle, and why this moment could be compared to major periods of innovation like the railroad, the internet, and other major technology shifts.We also cover the big moves of the week, including Snowflake's huge gains, Costco's decline, weakness across most of the Magnificent 7 outside of Microsoft, crude oil moving lower, and the 10-year Treasury yield closing lowering to around 4.4% helping investors take a more risk on approach to the market.James also discusses whether it may be time to take profits in major winners like Western Digital, SanDisk, and Micron, plus what massive potential IPOs like SpaceX, OpenAI, and Anthropic could mean for the market. If these companies go public, money has to come from somewhere, and that could create a major shift in where investors are allocating capital.The AI story is still the main driver of this market, but record highs can also bring new risks, new emotions, and the possibility of a pullback. The key is staying disciplined, investing in progress, and understanding that markets are always moving in cycles. Hosted by James Walters, CIMA®, CRPC®, and Brandon West, CPA, co-owners of West & Walters Tax and Wealth Management, a Registered Investment Advisor (RIA) and tax firm based in Carlsbad, California. Our goal is to share market insights, investing tips, tax strategies, and straightforward financial education to help viewers make smarter financial decisions. All Information is educational in its intent and distribution! Please do not consider this personal financial advice. We believe all clients have unique situations and thus require unique advice.

Ignacio Vacchiano, country manager en Iberia de Leverage Shares, analiza los índices en Wall Street, que marcan triple récord, la tecnología, que también está en máximos gracias a las grandes subidas de Snowflake y Dell y como Anthropic ha superado por primera vez en valoración a Open AI. “El mercado está mirando al lado geopolítico y está ignorando el dato de PCE”, afirma el invitado. La jornada de ayer estuvo marcada también por el dato de inflación de abril, que se dispara hasta el 3,8%. Es el mayor aumento desde mayo de 2023. “Yo creo que es un dato negativo, aunque fuera un poco en lo estimado y como que el mercado prevé o piensa que se va a parar en estos niveles y se soluciona el conflicto”, afirma el invitado. También destaca en after hours la subida del 40% en el after hours de Dell, después de publicar cuentas al cierre. Sus resultados superan las expectativas, sobre todo sus ingresos vinculados a la IA, que superan los 16.000 millones y suponen un crecimiento del 757% interanual. Además, supera previsiones con sus ingresos de 44.000 millones y su beneficio por acción de 4,86 dólares. El country manager en Iberia de Leverage Shares señala que “para todo el año ingresos daba un 16% más que los estimados medios, pero eso ha subido a un 40%” y que la subida “es exagerada cuando ya el valor había venido subiendo un 180% en los últimos 12 meses”. El foco también ha ido para Anthropic, que ha superado por primera vez en valoración a Open AI. Ha cerrado una ronda de financiación de 65.000 millones de dólares liderada por grandes fondos como Sequoia, Altimeter o Dragoneer. La operación eleva la valoración de Anthropic hasta los 965.000 millones de dólares. Sobre las salidas a Bolsa de estas tecnológicas señala que “puede hacer explotar el globo como pasó en el año 2000”.

En Capital Intereconomía repasamos las claves del día y la evolución de los mercados en Asia, Wall Street y Europa en una jornada marcada por el fuerte impulso de la inteligencia artificial y la relajación de las tensiones geopolíticas. Las bolsas asiáticas viven una auténtica fiesta bursátil gracias al tirón de la tecnología, con avances destacados de compañías como Samsung Electronics y LG Electronics. En Wall Street, los principales índices vuelven a marcar máximos históricos impulsados por el optimismo en torno a un posible acuerdo entre Estados Unidos e Irán. Europa apunta también a una apertura alcista ante la reducción de la tensión en Oriente Próximo. En el primer análisis de la mañana, Ignacio Vacchiano, country manager en Iberia de Leverage Shares, analiza los nuevos récords de Wall Street y se pregunta si el mercado se ha vuelto inmune a la inflación. También pone el foco en el renovado entusiasmo por la inteligencia artificial tras los resultados de compañías como Dell Technologies y Snowflake. Además, analiza el espectacular crecimiento de Anthropic, que supera a OpenAI en valoración y alimenta el debate sobre si el mercado tecnológico está entrando en una nueva fase de euforia comparable a otros grandes ciclos de crecimiento. Repasamos también las principales portadas de la prensa económica nacional e internacional. En la Entrevista Internacional, María Canal, portavoz de la representación de la Comisión Europea en España, explica las principales prioridades de Bruselas en los últimos días: la flexibilización fiscal para los Estados miembros, las ayudas al sector agrícola europeo, la estrategia comunitaria respecto a China y las iniciativas de acción humanitaria impulsadas por la Unión Europea.

Jon, Matt, and Travis start the episode by talking about Snowflake's latest financial results that were catalyzed by one of its newest AI product offerings. The team then talks about the sluggish environment for refinancing mortgages as well as the publicly-traded companies that are impacted. And finally, they finish up talking about some hidden opportunities exposed by Fertitta Entertainment's acquisition of Caeser's Entertainment. Jon Quast, Matt Frankel, and Travis Hoium discuss: -Snowflake's latest quarter -Cloud computing versus AI software -Plunging demand for mortgage refinancing -Caeser's sale to Fertitta Entertainment -The sneaky potential benefit to VICI Properties Companies discussed: Snowflake (SNOW), Amazon (AMZN), Rocket Companies (RKT), Caesar's Entertainment (CZR), VICI Properties (VICI) Host: Jon Quast Guests: Matt Frankel, Rachel Warren Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement.We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode.Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

A post-earnings pop in Snowflake sends the software ETF to its highest level since late January, but can the rally keep its momentum? Plus Joe Lavorgna, a one-time advisor to the Trump administration is calling for 100bp of rate hikes this year. He lays out his reasoning.  Fast Money Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Snowflake stock surges as the cloud-software company reports strong earnings and strikes a $6 billion deal with Amazon. Plus: Shares of Hormel Foods, whose brands include Planters, Skippy and Spam, soar amid strong quarterly results. Alexis Green hosts. Sign up for the WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Carl Quintanilla, Jim Cramer and David Faber drilled down on tech and the AI trade: Salesforce shares fell in reaction to the company's mixed Q1 results and lighter-than-expected revenue guidance for the current quarter. Shares of Snowflake soared on news of its Q1 beat, raised outlook and a $6 billion commitment to its multiyear partnership with Amazon's AWS.  On the M&A front: Fertitta Entertainment agrees to buy Caesars Entertainment in an all-cash deal valued at $5.7 billion. Also in focus: Crude oil prices rise amid faltering hopes for a U.S.-Iran deal, Marvell extends its rally, Dell wins Pentagon contract, retailers surging on earnings, Meta launches subscriptions, Cramer's take on investing in Microsoft, economic data deluge. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today, we note the very different outcomes for the two admittedly very different software names Salesforce and Snowflake as both reported earnings after the close yesterday. Elsewhere, insane volatility for Marvell in yesterday's session ahead of its own earnings report after the close - are the wheels coming off a bit here for chip names.  Also, Gold needs to take a stand here or else, plenty on macro and FX and more on today's pod, which is hosted by Saxo Global Head of Macro Strategy John J. Hardy. Links Michael Burry points out that VC has gone whole hog in AI, similar to the situation in 2000 with TMT bubble. Acquired put out a four-hour episode on the fascinating history and phenomenon that is Ferrari - these guys are great.  FT with an exclusive on Ukraine turning the tables in its war with Russia - amazing innovation and rates of production for their at least partially homegrown tech. Stratechery with a brief discussion (paywall) of the SpaceX IPO, both quite dismissive in some ways, but also surprisingly supportive of the idea that space-based data centres could be a thing. About twice per week (in normal times, hopefully soon to resume), you will find links discussed on the podcast and a chart-of-the-day over at the John J. Hardy substack. Read daily in-depth market updates from the Saxo Market Call and the Saxo Strategy Team here. Please reach out to us at marketcall@saxobank.com for feedback and questions. Click here to open an account with Saxo. Intro music by AShamaluevMusic DISCLAIMER This content is marketing material. Trading financial instruments carries risks. Always ensure that you understand these risks before trading. This material does not contain investment advice or an encouragement to invest in a particular manner. Historic performance is not a guarantee of future results. The instrument(s) referenced in this content may be issued by a partner, from whom Saxo Bank A/S receives promotional fees, payment or retrocessions. While Saxo may receive compensation from these partnerships, all content is created with the aim of providing clients with valuable information and options.  

Oil prices remain surprisingly muted despite months of disruption in the Strait of Hormuz, but energy markets may be running out of time before low inventories become a much bigger problem.Chuck Zodda and Mike Armstrong break down why crude oil has not surged as much as many expected, how China and the U.S. may be helping offset lost Middle East supply, and why major producers are warning that inventories could soon reach dangerously low levels. They also discuss new inflation data, why the Fed may still have little room to cut rates, signs that the labor market is stabilizing, and how the AI economy continues to drive growth through major cloud and semiconductor spending.The show also covers Snowflake's $6 billion deal with Amazon, Salesforce's struggle to prove its AI strategy can defend future growth, and Boston's logistical headaches as the World Cup approaches.

Are you looking to save time, make money, and start winning with less risk? Then head to https://www.ovtlyr.com.Learn more about OVTLYR: https://youtu.be/TUCbD5KovlcSnowflake just absolutely ripped the market apart after earnings, and honestly… this is the kind of move traders dream about catching early. We're talking about a monster gap up after announcing a massive AWS deal, raising guidance, and completely blowing past expectations. Meanwhile, OVTLYR had already flashed a buy signal weeks before the explosion happened.But here's where things get really interesting…While tech stocks are heating up hard, there are some weird signals showing up underneath the market right now. The S&P 500 and Nasdaq still look bullish on the surface, but fear and greed data is starting to tell a different story. That's the stuff most traders miss.In this breakdown, we're looking at the stocks and sectors getting real momentum right now:✅ Snowflake going full beast mode after earnings✅ Navitas Semiconductor flashing fresh bullish momentum✅ Groupon, Spotify, and Meta setting up strong✅ Carnival Cruise Lines quietly turning around✅ Energy stocks like Exxon and Chevron starting to crackThere's also a look at meme stock momentum coming back with AMC and BlackBerry making noise again.If you're trying to stay ahead of the next big move instead of reacting late, this is the kind of market breakdown you need in your routine.Subscribe to OVTLYR for disciplined trading strategies that actually make sense.

D.A. Davidson's Gil Luria and BEP Research's Ben Pouladian talk with TITV Host Akash Pasricha about Snowflake's accelerating revenue growth and Salesforce's disappointing Q2 guidance. We also talk with The Information's Apple reporter Aaron Tilley about Apple's strategy to shrink Google Gemini models onto devices, and Microsoft reporter Aaron Holmes about the company's plan to release homegrown coding models to protect GitHub Copilot from competitors like Cursor.Articles discussed on this episode: https://www.theinformation.com/articles/apple-renew-push-ai-runs-devices-instead-cloudhttps://www.theinformation.com/articles/meta-launches-new-enterprise-push-boost-business-adoption-ai-toolshttps://www.theinformation.com/newsletters/ai-agenda/microsoft-release-new-coding-model-next-week-comeback-attemptSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction01:13 - Snowflake Shares Jump as AI Product Adoption Grows08:04 - Salesforce Earnings Reaction and M&A Strategy12:48 - Meta Launches New Enterprise Push & Paid AI Chatbot Subscriptions23:03 - Apple to Renew Push for AI That Runs on Devices28:26 - Microsoft to Release New Coding Model

Market update for May 28, 2026.Check out the Public app for incredible investing tools and to support the show (LINK)Follow us on Instagram (@TheRundownDaily) for bonus content and instant reactions.In today's episode, Zaid covers:April PCE inflation hitting 3.8%, its hottest reading since 2023Meta charging for AI and rolls out paid subscriptions for Instagram, Facebook, and WhatsAppSalesforce beat on earnings but the stock barely moves Snowflake pops on a blowout quarter and a $6B Amazon dealFun fact: just 10 companies now make up almost 40% of the entire S&P 500

Een pijnlijke ruzie tussen China en de EU. Eentje die kan uitmonden in een handelsoorlog. Het begon allemaal met een plan van Brussel. De Europese Commissie vindt dat de handel met China niet eerlijk verloopt en wil de tarieven op Chinese spullen gaan verhogen. Tot woede van de Chinezen. China waarschuwt dat het tegenmaatregelen neemt als Europa doorzet. En over die escalatie hebben we het deze aflevering. Wat gebeurt er als China terugslaat? Welke aandelen hebben er dan last van? En is Trump de lachende derde? Over Trump gesproken: hij viel opnieuw Iran aan. Net nu het leek dat er een akkoord lag tussen het Iraanse regime en de Trump-regering. We kijken wat die aanval betekent voor de olieprijs en voor de beurzen wereldwijd. Ook hoor je over het opvallende vertrek van de CFO van Adyen. Hij was tien jaar lang belangrijk voor het bedrijf, maar gaat weg. De financiele man gaat zelfs helemaal de fintechwereld uit. Verder vertellen we je alles over de bijzondere stap van KPN. Dat slaat de handen ineen met de eigenaar van Lidl. Samen willen ze een vuist bieden tegen de cloud-macht van de Amerikanen. Te gast: debutant Thomas Pellegrom van ABN Amro MeesPierson BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille. See omnystudio.com/listener for privacy information.

En Capital Intereconomía seguimos la apertura del Ibex 35 y del resto de bolsas europeas en una jornada en la que la tecnología vuelve a liderar las subidas y el mercado mantiene el foco sobre Irán, la deuda y las expectativas de paz. En el análisis de mercados, Juan Enrique Cadiñanos, CEO Global de Bullfy, destaca que los inversores siguen encontrando motivos para mantener posiciones compradoras pese al aumento de la deuda y a unos datos macroeconómicos poco brillantes. A su juicio, las buenas referencias empresariales y las expectativas de estabilización geopolítica continúan sosteniendo a la renta variable. La inteligencia artificial vuelve a ser protagonista, con el impulso de compañías como Salesforce, Marvell Technology y Snowflake, esta última disparándose tras elevar previsiones y firmar un acuerdo multimillonario con Amazon para el uso de servicios cloud y chips. También se analiza el mercado de bonos y las advertencias de Kazuo Ueda y Neel Kashkari sobre el riesgo de que el impacto inflacionario derivado del conflicto en Oriente Próximo se prolongue en el tiempo. En el consultorio de bolsa, José María Lerma, analista independiente, repasa valores destacados del mercado como Banco Sabadell, Siemens Energy, Iberdrola, Grifols, PharmaMar y Nokia, además de analizar la elevada volatilidad de compañías como FuelCell Energy o Intellia Therapeutics.

In today's BizNews Daybreak, we cover mixed signals regarding a US-Iran deal, defensive airstrikes in Bandar Abbas, and escalating Israeli operations against Hezbollah. In corporate news, Snowflake's stock surges 35% on an AWS partnership, while Fed Governor Lisa Cook warns of potential interest rate hikes. Locally, political commentator Solly Moeng breaks down the impeachment pressure facing President Ramaphosa, and SAAI CEO Francois Rossouw discusses potential massive damages claims against Agriculture Minister John Steenhuisen over livestock vaccines. Finally, strategist Edward Yardeni breaks down the S&P 500's "fabulous earnings momentum" and the scarcity of buying the dip.

Investors parse a critical wave of software earnings and shifting market leadership. Adam Crisafulli of Vital Knowledge breaks down the market's latest theme and explains what strong software results could mean for the broader rally. Our Leslie Picker reports on Jamie Dimon's latest comments around succession planning and what they signal for Wall Street leadership. Salesforce, Snowflake, HP, Marvell and Synopsys all report earnings giving investors a fresh read on enterprise spending, AI demand and infrastructure growth. Brent Thill of Jefferies reacts to the software results and explains where the sector goes next. Plus, the sharp drop in Zscaler and what it says about cybersecurity stocks and investor expectations with Evercore's Peter Levine. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Luke Ambrosetti, Principal Industry Architect for Marketing at Snowflake, unpacks what actually makes a marketing stack AI-ready. Hitting on topics like data ownership, semantic layers, and addressing core concepts like business alignment, this conversation explores why modern marketing teams need more than dashboards to make AI useful at scale. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-the-ai-ready-marketing-stack  © 2026, NinjaCat

Op het Binnenhof loopt het debat over geweld in de politiek uit op een harde confrontaties in jaren. D66, VVD en CDA nemen publiekelijk afstand van de extreem scherpe uitspraken van Gidi Markuszower, maar sluiten samenwerking met zijn nieuwe partij DNA op losse dossiers niet uit. GroenLinks-PvdA dringt aan op een principiële keuze en zet vraagtekens bij de bereidheid van de coalitie om Markuszower structureel buiten de deur te houden. In Kiev ontvangt president Volodymyr Zelenskiy de Belarussische oppositieleider Sviatlana Tsikhanouskaya voor een eerste officieel bezoek. Zij benadrukt dat een democratisch Belarus cruciaal is voor de regio en dat veel Belarussen de oorlog tegen Oekraïne afwijzen, ondanks de steun van president Alexander Lukashenko aan Rusland. Intussen waarschuwt Oekraïne voor een grotere rol van Belarus als lanceerplatform voor Russische raketten en drones richting Oekraïens grondgebied. Op de financiële markten richten beleggers zich op kwartaalcijfers van de Amerikaanse techbedrijven Salesforce, Marvell Technology en Snowflake, waar de verwachting rond AI hun koersen sterk heeft bewogen. Tegelijkertijd laten onderzoeken en krantenkoppen zien hoe grote investeringen en kosten de komende jaren vorm krijgen: van een renovatie van de Van Brienoordbrug voor 1,5 tot 2 miljard euro tot oplopende maatschappelijke kosten van dementie tot 32 miljard euro. In Letland oefent Defensie met drones en zoekt minister Dilan Yesilgöz met Nederlandse bedrijven naar nieuwe technologie voor toekomstige conflicten. Deze omschrijving is met AI gemaakt en gecontroleerd door een BNR-redacteur. Over deze podcast BNR Nieuws Vandaag is de podcast met daarin BNR Ochtendnieuws en BNR Avondnieuws. Je krijgt ’s ochtends vroeg en aan het einde van de werkdag in 20 minuten het belangrijkste nieuws van de dag. Abonneer je via bnr.nl/podcast/bnrnieuwsvandaag, de BNR-app, Spotify en Apple Podcasts. Of luister elke dag live via bnr.nl/live.See omnystudio.com/listener for privacy information.

Dr. Vic Shane discusses his lifelong experiences with out-of-body travel and encounters with dark entities. In the full length version on Patreon we discuss the influence of Joseph Campbell's concept of The Hero's Journey and Vic shares two extraordinary personal gnostic experiences involving deep realisations. He describes how one final significant confrontation with a large dark entity was transformed by love and recognition that we are all one. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/c/themodernfairysightingspodcast/membership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Shownotes Vic's Website http://vicshayne.com/ Observations of a Reluctant Mystic (book) https://amzn.eu/d/0d8HYihP Song of The Dark Man by Darragh Mason https://www.amazon.com/Song-Dark-Man-Witches-Crossroads/dp/1644119099 ⭐️ JOIN THE MODERN FAIRY SIGHTINGS COMMUNITY ⭐️ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.patreon.com/c/themodernfairysightingspodcast/membership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you're looking for exclusive bonus material, monthly zoom chats with like-minded folks, access to the Discord chat channels, quiet meditation gatherings and meeting other members, join us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.patreon.com/c/themodernfairysightingspodcast/membership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ S U P P O R T If you'd prefer to support the Modern Fairy Sightings with a one off donation, you can ‘buy me a coffee' and I'd be very grateful

Send us Fan MailArnnon Geshuri is Chief People Officer at Snowflake, where he leads culture development, talent strategy, and organizational design at one of the world's leading data cloud companies. His career spans decades of scaling high-growth technology organizations, including leadership roles at Google, Livongo Health, and Tesla, where he oversaw its growth from a 400-person startup to a 35,000-person transportation juggernaut.Throughout his career, he has consistently chosen companies that demand a people function as innovative, as creative, and as forward-thinking as the business itself. And across every role, he has focused on one core idea: the people function must evolve as fast as the business itself, grounded in data, experimentation, and trust.In this episode, Arnnon draws on that experience to challenge how leaders think about AI in the workplace, arguing that the real opportunity is not automation alone, but redefining how humans contribute, decide, and grow inside modern organizations.In this conversation, we discuss:Why the people function must speak the language of data and analytics to influence engineering-led organizations and earn credibility in high-growth, technical environmentsThe shift from transactional HR to a strategic role focused on connection, education, and rebuilding trust after workforce disruption and disconnection during COVIDHow Snowflake frames AI adoption by automating repetitive work, augmenting creative tasks, and preserving human judgment in decisions that require empathy and contextWhy employees adopt AI faster when leaders encourage curiosity, remove fear of experimentation, and make tools accessible through simple interfaces like natural languageThe risks of over-automating decisions like hiring and performance reviews, and why removing human accountability breaks trust inside organizationsHow building a culture of experimentation, measurement, and iteration allows people leaders to scale organizations without relying on intuition aloneExplore the Conversation00:00 Intro & Fun Fact: How AI manipulation threatens autonomy05:06 Meet Arnnon Geshuri: CPO at Snowflake, from Google, Tesla, and Livongo Health10:24 The Evolution of HR: From Transactions to Amplifying Humanity13:37 Snowflake's AI Framework: Automate, Augment, and Preserve Human Judgment21:44 Driving AI Adoption: AI for Everybody and a Culture of Experimentation26:26 Data Privacy and Trust: Building Guardrails for Enterprise AI28:36 AI in Hiring: Mitigating Bias to Rescue Human Connection32:28 Setting AI Boundaries: Why Algorithms Should Never Conduct Performance Reviews34:16 Scaling Culture in Hyper-Growth: The Power of People Analytics41:33 The AI Ride-Along Prediction and What Comes Next43:15 Where to Connect with Arnnon Geshuri and SnowflakeResourcesSubscribe to the AI & The Future of Work NewsletterConnect with Arnnon on LinkedInAI fun fact articleOn How Rodrigo Liang, Raised Over $1B to Build the First Generative AI Unicorn

With the wife out of the house and the hounds egging him on, Jonah Goldberg is hyped up on 5-Hour Energy and ready to talk for four hours straight about 1930s isolationism. However, understanding that some of our dear listeners lack the constitution for such a strenuous journey, our talented sound editors have reduced Jonah's rumination to a more digestible size. Join Jonah as he skips through America the Sandwich, Trump's slush fund, impeachment, the control-f presidency, whataboutism, John T. Flynn, antisemitism, Charles Lindbergh, the women's history museum, channel surfing, The Walking Dead, the broken windows theory, and the decline of late-night television.  Show Notes: —Sandwiches in Baltimore  —Friday's Dispatch Podcast —AO's first episode on the slush fund —AO's second episode on the slush fund —Jonah's Los Angeles Times column —Jonah's eulogy for his brother —Right Turn: John T. Flynn and the Transformation of American Liberalism —Prophets on the Right: Profiles of Conservative Critics of American Globalism —Jonah's Flynn G-File —The Myth of Left and Right: How the Political Spectrum Misleads and Harms America —Helen Lewis Remnant —Jonah's underrated second book —Tyler Austin Harper Remnant Buy your tickets here to see a live taping of The Remnant with Jonah Goldberg and Sarah Isgur. How to access your members-only Remnant feed. The Remnant is a production of ⁠The Dispatch⁠, a digital media company covering politics, policy, and culture from a nonpartisan perspective. To access all of The Dispatch's offerings—including the Saturday Ruminant, audio versions of all our articles and newsletters, and Jonah's twice-weekly G-File—⁠click here⁠. Instructions on how to set up your members-only feed can be found here, and if you'd like to remove all ads from your podcast experience, consider becoming a premium Dispatch member ⁠by clicking here⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chad Peets is one of the most straight-talking, no BS sales leaders of our time. Today, he partners with founders of the fastest growing companies in the world, like Harvey, Factory to build the best sales teams in a world of AI.    Chris Degnan is a legendary technology sales leader who achieved the historic feat of scaling Snowflake from $0 to $4BN in ARR.  AGENDA: 00:00 – The $100M CRO Packages Nobody Believes Are Real 04:10 – Why Most "Elite" Salespeople Are Actually Just Order Takers 08:00 – The Secret to Hiring Killer Sales Talent at Early-Stage Startups 10:05 – 20x Quotas & The Death of Traditional Pipeline Generation 16:20 – The ARR Scam: Why Most AI Revenue Numbers Are Fake 17:45 – Why the Best Engineers Do Not Want to Be Forward Deployed Engineers 21:10 – Why Paying Everyone the Same Kills Great Sales Organisations 24:15 – Anthropic's Crazy Compensation Is Breaking the Entire Sales Market 29:00 – The Brutal Truth About Replacing CROs & Firing Sales Leaders 32:20 – Forecasting in AI Is Completely Broken 38:20 – The Fatal Mistake Founders Make Chasing Venture Valuations 39:40 – Why Most VCs Give Absolutely Terrible Sales Advice 42:10 – Global Sales From Day One: The New AI Go-To-Market Playbook 44:15 – "Anthropic Is a $5 Trillion Company" 47:40 – The Death of the Traditional SDR & The Rise of Full-Stack AI Sellers 49:00 – Consumption Pricing, Vertical AI & Why SaaS Is Getting Rewritten 52:00 – What the Best Sales Cultures Still Get Right in the AI Era    

In this episode, Dr. K is joined by streamer Lacy (Nick) to explore the psychological "city" built by content creators and the hidden traps of professional success. They discuss how to break the cycle of self-punishment and transition from a life of "achieving" to a life of "living". What to expect in this episode: Mental Hardening Through Physiology: Why relaxing isn't always the answer; Dr. K explains how tensing the body through specific asanas (like the tree pose) can help "harden" a permeable mind against external bullying and judgment. The "Cuck Chair" of Isolation: A deep dive into the psychological state of watching life pass you by while stuck behind a screen, and the specific pain of being "nobody's best friend" in a social group. Toxic Fuel and Achievement: How high performers often use guilt and self-hatred as a fuel source to avoid sliding back into their "old selves," effectively turning their success into a "toxic fuel cycle" that prevents true happiness. Persona vs. Authentic Self: Lacy shares the fear that people only love the "Lacy" version (the successful winner) while the "Nick" version (the 300 lb kid) remains fundamentally unloved and unseen. The Snowflake and the Avalanche: A psychological explanation for why a single hateful comment can ruin a creator's day, exploring how individual "snowflakes" of hate combine into an emotional avalanche that the human brain did not evolve to process. Control vs. Futility: Practical advice on how to stop trying to change the "delusional" perceptions of others and instead focus exclusively on your own effort and the internal domain of your own mind. The 6-24-12 Breathwork Practice: A high-difficulty training exercise (6 seconds in, 24 seconds hold, 12 seconds out) designed to manipulate the parasympathetic nervous system and force the mind into a state of present-moment contentment. Archetypes of Connection: A look behind the scenes at Dr. K's new Guide to Love, Sex, and Relationships, including the five community personas like the "Nervous Novice" and "Forever Alone Alvin" used to build the guide's curriculum. Life vs. Living: Why regret comes from not doing enough rather than failing, and how to find the "eye of the storm" to remain centered regardless of external tragedy or success. Dr. K's NEW Guide to Love, Sex, & Relationships is here! Order now: https://bit.ly/4dO3x0VHG Coaching : https://bit.ly/46bIkdo Dr. K's Guide to Mental Health: https://bit.ly/44z3SztHG Memberships : https://bit.ly/3TNoMVf Products & Services : https://bit.ly/44kz7x0 HealthyGamer.GG: https://bit.ly/3ZOopgQ Learn more about your ad choices. Visit megaphone.fm/adchoices

Patrick Moorhead and Daniel Newman return from Dell Technologies World to unpack Google I/O's Gemini-as-operating-system moment, the Blackstone-Google TPU joint venture nobody saw coming, NVIDIA's $81.6 billion quarter with a $91 billion guide, and debate whether or not the "SaaSpocalypse" is finally over. The handpicked topics for this week are: Google I/O 2026: Gemini Becomes the Operating System. Google I/O repositioned Gemini from a product to the operating layer for everything Google does, and the numbers backed it up. 900 million monthly active users, 3.2 quadrillion tokens per month, a 7x jump year over year. Pat's headline: this is about widening distribution, not just model quality. Gemini 3.5 Flash, Antigravity 2.0, Gemini Spark, and Android XR glasses all extend Gemini into surfaces that no competitor can replicate. Daniel's read: the token-cost reckoning is coming, and when enterprise subsidies end, models that can deliver value at a lower cost per token will become the ground zero of the next era. (The Decode) Dell Technologies World 2026: AI Factory Goes Agentic, 1,000 New AI Server Clients. Pat and Dan were both on the ground in Las Vegas and called it the most consequential Dell event in years. Michael Dell and Jensen Huang co-keynoted to launch the next-generation Dell AI Factory with liquid-cooled PowerEdge XE9780 servers, Dell Deskside Agentic AI, and a multi-model ecosystem including Google Distributed Cloud with Gemini 3.0, on-prem OpenAI Codex, and Grok. 1,000 new AI server clients in a single quarter is the cleanest leading indicator of enterprise demand heading into Dell's Q1 print. Pat's biggest takeaway: OpenShell as a control plane for agents spanning from the GB10 all the way to the PowerEdge rack has been the missing orchestration piece. Daniel's read: large enterprises are going to build hybrid AI architectures and want to deliver tokens at the lowest possible on-prem cost, and Dell is ready. (The Decode) Blackstone and Google Launch a $5B TPU Joint Venture. Pat called it the biggest story of the week and the one that went most under the radar. For the first time, a hyperscaler has released its proprietary AI silicon to a third-party distribution entity. The $5 billion deal, up to $25 billion with leverage, targets 500 megawatts of capacity online by 2027. Daniel's framing: Google decided its custom silicon is worth more as a commercially distributed asset than as a captive moat. Pat's note: the proprietary nature of TPU infrastructure means retrofitting existing data centers will require real work, but the sovereign angle gives the JV a natural first market. (The Decode) AMD Helios, $10B Taiwan Investment, and the MI450 Anchor Customer Rumor. AMD dropped a $10 billion Taiwan ecosystem investment alongside confirmation that Helios rack-scale is on track for multi-gigawatt customer deployments beginning 2H 2026. A Citi rumor surfaced Anthropic as the anchor MI450 customer, to be formally announced at AMD's Advancing AI Day in July. Pat's read: Lisa Su has made a commitment and she almost never falls through. The analysts who said AMD would not ship anything in the second half of 2026 are going to be very wrong. (The Decode) OpenAI Guaranteed Capacity: Sam Altman's Moment. OpenAI launched multi-year compute commitment contracts the same week that Anthropic was struggling with capacity outages. Pat called it brilliant and said it makes Sam Altman look like a genius. It's the inference-era analog of cloud reserved instances: guaranteed availability at a locked price for one, two, or three years. Daniel added context: Anthropic's annualized ARR growth is nearly double OpenAI's and is about to lap them, so the model war is far from over. But for enterprises that need reliability, OpenAI just made the most compelling enterprise trust argument of the week. (The Decode) Sovereign AI Crosses $30 Billion at NVIDIA, 14% of Revenue. NVIDIA disclosed sovereign AI as a segment-level line for the first time, at $30 billion in FY26, 3x the prior year. Pat has been tracking sovereign for years and calls this the clearest possible signal that it has moved from marketing term to structural revenue category. Daniel's point: outside of the four or five hyperscalers doing all the major buying, sovereign is where the incremental demand is coming from and it is very real. (The Decode)  The Flip: Is the SaaSpocalypse Over? Daniel took the affirmative and came in loaded. Every earnings report across CrowdStrike, Cloudflare, ServiceNow, Intuit, Salesforce, Atlassian, Notion, and monday.com shows companies growing with the AI tailwind. His core argument: there was a reason SaaS emerged 20 to 30 years ago. Companies do not want to be in the software business. Vibe-coded flat-file apps with no security, no governance, no data lineage look great in a kitchen demo and fall apart at enterprise scale. The SaaSpocalypse is over and he is tired of talking about it. Pat's counter: BofA slapped Salesforce with an Underperform at $160, 8% below where it trades. Snowflake is down 35% year-to-date. A senior Dell executive told him Dell will not buy another SaaS system and is tripling internal software creation. The growth question is real even if the terminal value is not zero. Both agree the tape will tell the real story. (The Flip) NVIDIA Q1 FY27 Results. Record $81.6 billion revenue, up 85% year over year. Data center at $75.2 billion, up 92%. Non-GAAP EPS of $1.87, up 140%. Q2 guide of $91 billion crushed the $86.8 billion consensus by $4 billion at the midpoint. $80 billion buyback authorized, dividend raised 25x. The stock went down after hours for the fifth consecutive time following a massive beat and raise. Pat's read: NVIDIA may be worth $8 to $9 trillion on paper at a sector-average multiple and 75% gross margins held. Daniel's framing: this is the best company in the world, possibly tied with Google, and it is becoming the Apple of this era. He sees a long safe journey of continued growth vs. speculative dollars chasing quantum and space names that can double in a week. (Bulls and Bears) Intuit: Earnings Beat, Revenue Miss. A 17% workforce cut, raised guidance, and $8 billion buyback were authorized. Pat's emerging thesis: these companies are cutting people to afford tokens. Intuit comes at a moment when OpenAI's ChatGPT finance plugin via Stripe is building an intelligence layer that could sit on top of Intuit's products without displacing them directly, at least not yet. (Bulls and Bears) Lenovo: Record $21.6 billion quarterly revenue, up 27% year over year. The company's fastest growth in five years. AI-related revenue is up 84% year over year to 38% of total company revenue. ISG returned to full-year operating profit with a $21 billion AI server pipeline. Pat and Dan both read Lenovo's results as NVIDIA tea leaves, a leading indicator of enterprise AI server demand that directly validates what Dell said on stage about 1,000 new AI server clients. (Bulls and Bears) Analog Devices: Record $3.62 billion revenue, up 37% year over year. EPS up 67%. Q3 guide of $3.9 billion crushed consensus by $270 million. Data center up 90%, industrial up 56%, comms up 79%. The $1.5 billion Empower Semiconductor acquisition adds integrated voltage regulator technology that can reduce AI data center power consumption by 10 to 15% while shrinking the power footprint by up to 4x. Daniel's closing point: you can't build AI servers without players like Analog Devices and Lattice Semiconductor. These essential node companies aren't boring, they're foundational. (Bulls and Bears) Check out all of our Dell Technologies World coverage linked in the show notes including our sit-downs with Michael Dell, Jeff Clark, and key customers. Be part of our community. Hit that subscribe button and see you at Computex.   The Decode Google I/O 2026 — Gemini Becomes the Operating System: 900M MAU, 3.2 Quadrillion Tokens/Month, Gemini Omni, Antigravity 2.0, Gemini Spark, and Android XR Glasses https://blog.google/innovation-and-ai/sundar-pichai-io-2026/ Dell Technologies World 2026 — AI Factory Goes Agentic: Michael Dell + Jensen Huang Unveil PowerEdge XE9780, Dell Deskside Agentic AI, and a Multi-Model Ecosystem; Dell Adds 1,000 AI-Server Clients in the Quarter https://www.dell.com/en-us/blog/dell-technologies-world-a-bright-and-beautiful-road-ahead/ Blackstone + Google Launch $5B (Up to $25B w/ Leverage) JV to Sell Google TPUs Outside Google Cloud — First Time a Hyperscaler Has Released Its Custom Silicon to a Third-Party Distribution Channel; 500 MW Online by 2027, Benjamin Treynor Sloss as CEO https://www.blackstone.com/news/press/blackstone-announces-joint-venture-with-google-to-create-new-tpu-cloud/ AMD Announces $10B+ Taiwan Ecosystem Investment — Helios Rack-Scale Platform With MI450X GPUs and Venice EPYC on TSMC 2nm Targeting Multi-Gigawatt Deployments 2H 2026; the Clearest Second-Source Signal Yet https://ir.amd.com/news-events/press-releases/detail/1286/amd-announces-more-than-10-billion-in-taiwan-ecosystem-investments-to-accelerate-ai-infrastructure OpenAI Launches Guaranteed Capacity — Multi-Year Compute Commitments Turn Inference Capacity Into a New Enterprise Asset Class https://www.cnbc.com/2026/05/19/openai-announces-new-guaranteed-capacity-offering-for-customers-to-secure-compute.html The Sovereign AI Government Investment Wave — NVIDIA Discloses ~$30B Sovereign-AI Revenue (14% of Mix); UAE, Saudi, Japan, Australia, France All in Motion This Week https://finance.yahoo.com/markets/stocks/articles/analog-devices-q2-earnings-beat-153000996.html   The Flip: Is the SaaSpocalypse Officially Over — or Is BofA's Split Call (ServiceNow Buy, Salesforce Underperform) the Real Signal That Platform AI Monetization Is Going to Be Bifurcated, Not Universal? FOR:  BofA Reinstates Coverage of ServiceNow, Salesforce — Barron's (May 18) https://www.barrons.com/articles/servicenow-salesforce-stock-price-ai-7b109396 Embedded workflow + system-of-record stickiness still wins citing ServiceNow Q1 2026 financial results https://newsroom.servicenow.com/press-releases/details/2026/ServiceNow-Reports-First-Quarter-2026-Financial-Results/default.aspx Intuit Q3 revenue up 10%, cuts 17% of staff — SEC 8-K filing (May 20) https://www.stocktitan.net/sec-filings/INTU/8-k-intuit-inc-reports-material-event-b23073259896.html   AGAINST:  BofA Slaps Salesforce With Underperform Rating, $160 Price Target — 24/7 Wall St (May 18) https://247wallst.com/investing/2026/05/18/bofa-slaps-salesforce-with-underperform-rating-160-price-target-is-the-ai-story-falling-flat/ BofA resets Salesforce price target to Underperform — TheStreet (May 19) https://www.thestreet.com/investing/stocks/bofa-resets-salesforce-stock-price-target-to-underperform-at-160 Snowflake -35% YTD heading into May 27 print is the canary that platform stickiness is being repriced https://eciks.org/4640-22295-snowflake-set-to-report-q1-earnings-may-27-with-ai-strategy-in-focus OpenAI Guaranteed Capacity + Dell on-prem Codex create a credible path to displace seat-based SaaS https://www.cnbc.com/2026/05/19/openai-announces-new-guaranteed-capacity-offering-for-customers-to-secure-compute.html Bulls & Bears NVIDIA Q1 FY27 ACTUALS https://www.cnbc.com/2026/05/20/nvidia-nvda-earnings-report-q1-2027.html Intuit Q3 FY26 Actuals https://investors.intuit.com/news-events/press-releases/detail/1312/intuit-reports-strong-third-quarter-results-and-raises-full-year-revenue-guidance Lenovo Q4 FY26 ACTUALS https://www.cnbc.com/2026/05/22/lenovo-shares-jump-15percent-on-record-earnings-as-ai-revenue-nearly-doubles.html Analog Devices Q2 FY26 ACTUALS https://finance.yahoo.com/markets/stocks/articles/analog-devices-q2-earnings-beat-153000996.html  

In this special episode of the Independent Dealer Podcast, recorded live on location at Buy Here Pay Here United 2026, Jeff Watson and Luke Godwin flip the script with a first-of-its-kind vendor panel. Instead of the traditional dealer open forum, six of the industry's top service providers take the stage to share what they see from their side of the glass — the blind spots, pain points, and opportunities that dealers are missing right now. Featuring Steve Levine (Ignite Dealer Compliance Group), Mike Downey (Auto Master Systems), Bill Neylan (Tax Max), Jason Gosnell (Buckeye Risk Services), Ariad Sommer (Ituran USA), and Terry MacCauley (Big Time Advertising), this panel pulls back the curtain on AI, automation, compliance, disaster planning, parts sourcing, and where the BHPH industry is headed next.What You'll Learn:-Why AI in your dealership can be a compliance time bomb — and why every store needs a written AI policy-How dealers are "doing more with less" using data warehouses (BigQuery, Snowflake) instead of dumping PII into ChatGPT-The heated debate over AI replacing employees — and why some 40-year dealers refuse to use it at all-Why most dealers have NO contingency plan to operate when an ice storm, hurricane, or outage shuts the doors during tax season-The backup systems every dealer needs: power, internet (Starlink), VOIP phones, and remote-ready staff-How starter interrupt and GPS integration can collect a late payment automatically — without you ever picking up the phone-Why you're probably paying for features your current vendors already offer but never turned on-How automotive recyclers became the "Amazon fulfillment center" of parts — and how it's lowering recon costs-The massive shift in search: customers now treat Google like ChatGPT, and organic traffic is down 20–30%-How to get your dealership to show up in AI Overviews (and why the top 10% of your website is everything)-What vendors wish dealers would do: communicate your pain points, stop ghosting, and never cancel over cost alone-Where six industry insiders see Buy Here Pay Here heading over the next 10 yearsIf you're a buy here pay here or independent dealer trying to navigate AI, automation, compliance, and an industry that's changing faster than ever, this vendor panel is packed with insider perspective you won't hear anywhere else. These are the people who touch hundreds of dealers every month — and they're telling you exactly what's working, what's coming, and what's quietly costing you money.Support the businesses that support the podcast:Buckeye Risk Services - Reinsurance and wealth strategies for independent dealers. https://theindependentdealer.com/buckeyeBlytz - BHPH payment processing with fast funding and text-to-pay. https://theindependentdealer.com/blytzpayIturan GPS - Asset protection and customer management for BHPH and retail dealers. https://theindependentdealer.com/ituranFollow & Connect:Website: www.theindependentdealer.comFacebook Group: @independentautogroupLuke Godwin: @lukegodwinJeff Watson: /sendtojeffwLike, subscribe, and share this with a dealer who needs to hear it.

In the latest episode of Executive Function, Brett sits down with Graham Moreno, Head of GTM at Parallel Web Systems. Before Parallel, Graham scaled Windsurf's GTM organization from three sellers to seventy-five in under a year, served as President through the Cognition acquisition, and earlier built and led enterprise sales teams at Grafana Labs and MongoDB. In this conversation, he unpacks why the AI-era backlash against structured enterprise sales misreads the data, how to design a process that raises the floor for ordinary reps without capping the ceiling for stars, and why selling to AI-native customers compresses an eight-week cycle into five business days. In today's episode, we discuss: Why in-person enterprise rollouts still beat product-led motions Building a robust sales process that still leaves room for unscripted moments Why the three highest-leverage early sales hires aren't sellers at all The case for outsized commission accelerators for star sellers — and the kind of person they attract Why most AI companies are skipping the in-person sales work that enterprise customers actually want References: Ahead: https://www.ahead.com Amazon: https://www.amazon.com Anthropic: https://www.anthropic.com Attio: https://www.attio.com Augment Code: https://www.augmentcode.com/ Cognition: https://cognition.ai Cursor: https://cursor.com Dani McCabe: https://www.linkedin.com/in/danielle-mccabe/ Datadog: https://www.datadoghq.com GitHub Copilot: https://github.com/features/copilot HubSpot: https://www.hubspot.com Jeremy Powers: https://www.linkedin.com/in/jeremypowers/ JPMorgan: https://www.jpmorgan.com Matt McClernan: https://www.linkedin.com/in/mattmcclernan/ MongoDB: https://www.mongodb.com Nicole Rettinger: https://www.linkedin.com/in/nicole-rettinger-23b20465/ Notion: https://www.notion.com OpenAI: https://openai.com Parag Agrawal: https://www.linkedin.com/in/paragagr/ Parallel: https://parallel.ai Snowflake: https://www.snowflake.com University of Chicago: https://www.uchicago.edu Windsurf: https://windsurf.com Where to find Graham: LinkedIn: https://www.linkedin.com/in/grahammoreno/ Where to find Brett: LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/ Twitter/X: https://twitter.com/brettberson Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ Twitter/X: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: 00:00 Introduction 00:32 Has the sales playbook changed in the AI era? 02:13 Why "showing up" beats letting the marketplace decide 06:50 Why great salespeople sell to engineers and executives in one motion 11:37 Selling to AI-native buyers who grew up on ChatGPT 13:49 Same seller, different tempo: 8 weeks vs. 8 business days 15:57 How AI-native buyers handle build vs. buy decisions 17:48 The rep who taught a champion's son guitar over Zoom 19:03 Raising the floor without capping the ceiling 22:09 Why too much process narrows the kind of seller you attract 25:46 The three pillars of GTM excellence 31:00 Building peers who are 80% aligned, not 100% 38:03 Whether AI is changing what good enablement looks like 41:35 Selling against direct and implied competitors at once 42:45 Instrumenting the funnel from stage zero to close 45:57 Why post-sales should always roll up to the revenue leader 48:19 The case for outsized commissions 52:02 The 96 hours of panic before Cognition acquired Windsurf 53:04 How far out should a GTM leader be planning? 57:53 What a normal week looks like in hypergrowth

Why has there been such an increase in young people diagnosed with mental health problems? Are Gen Z less resilient than older generations, or have they been seriously let down? Has therapy culture gone too far – or not far enough? Why are there so many young people doing absolutely nothing? Is it laziness, or something else?This week, Vicky Spratt  is joined by three guests: psychologist and expert in adolescent mental health, Dr Lucy Folkues, researcher and co-author of “inside the mind of a 16 year old”, Shuab Gamote and writer of “Girls, The Commodification of Everything” Freya India. To hear the whole Gen Z series, sign up at therestispolitics.com Get TRIP Plus for £20 for the year by using your student email address. Instagram: ⁠@restispolitics⁠ Twitter: ⁠@restispolitics⁠ Email: ⁠therestispolitics@goalhanger.com⁠ __________ Hosted by: Vicky Spratt Producer: India Dunkley Social Producer: Celine Charles Video Editor: Josh Smith Researcher: Olivia Taylor Hooper Exec Producer: Tom Whiter Editorial Director: Emily Kent Smith Learn more about your ad choices. Visit podcastchoices.com/adchoices

Artificial intelligence and cloud-based data products through Snowflake will now be available to all federal agencies, the General Services Administration announced Thursday. The GSA has struck a OneGov deal with the cloud-based data warehousing and analytics company in order to “empower federal workers to break down data silos, enhance mission effectiveness, and accelerate their IT modernization initiatives,” it said in a press release. Snowflake CEO Sridhar Ramaswamy said in a statement: “Federal agencies are seeking efficiency in cost, enterprise scaled performance, intuitive design driven tools for the workforce and simplicity in contracting — we are the only multi-cloud data platform that can meet this charge on day one.” Just over a year old, OneGov is a government contracting framework allowing for cross-agency use of commercial products at a discounted price. For Snowflake users across the federal government, this means 20% off compute services, which could go up to 50% as usage increases, as well as nearly a 27% discount on storage, the release said. The Small Business Administration's information security program is largely ineffective after falling below the federal baseline for controls in nine of 10 domains, according to a new watchdog report. Under Office of Management and Budget guidance on ratings for security effective controls, the SBA “has defined policies but it has not consistently implemented them,” the agency's Office of Inspector General wrote, relaying findings from an independent auditor's review of SBA's fiscal 2025 performance under the Federal Information Security Modernization Act.The SBA surpassed OMB's baseline for incident response, earning an “optimized” rating under federal FISMA guidelines. But the OIG said that six domains — cybersecurity supply chain risk management, risk and asset management, configuration management, identity and access management, contingency planning, and information security continuous monitoring — were considered “defined” (a rating of 2 on the 5-level maturity model scale). Another three domains — cybersecurity governance, data protection and privacy, and security training — were slightly better, per the watchdog, with ratings of “consistently implemented” (3 out of 5).

Starting an AI company is all about spotting a real problem and using AI to solve it in a smarter, faster way than what's out there today. It's less about having the perfect idea and more about starting focused, learning fast, and building something people actually want.This week, Dave, Esmee, and Rob are joined by Gijs van de Nieuwegiessen and Tijn van Daelen, founders of One Horizon AI, to explore what it really takes to start and build an AI‑native company TLDR00:32 – Introduction00:55 – Hang out: Why Dutch names can be a real tongue-twister02:00 – Dig in: Exploring how an AI-native culture fits with human-to-human interaction13:35 – Deep dive with Gijs van de Nieuwegiessen and Tijn van Daelen1:01:54 – Following AI: Bloopers, reflections, and field hockey with the kids GuestGijs van de Nieuwegiessen: https://www.linkedin.com/in/nieuwegiessen/Tijn van Daelen: https://www.linkedin.com/in/tijn-van-daelen-495986131/Open source repo: https://github.com/onehorizonai/ink HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

In the May 2026 Mailbag, Jason and Jeff tackle a series of compelling listener questions, starting with a deep dive into whether "vibe coding" and agentic AI are truly an existential threat to major SaaS companies like Salesforce and Snowflake. The duo also untangles the complicated corporate web of Brookfield Infrastructure (BIPC vs. BIP), exploring why the company might finally be moving to ditch its limited partnership structure. Later, they revisit the ongoing struggles at The Trade Desk, debate the concept of "regret minimization" when dealing with massive winners like Rocket Lab and Nvidia, and discuss how to properly balance single-company risk versus overall portfolio volatility. 00:48 West Coast Game Time Rant 02:46 Mailbag and Discord Shoutout 03:56 Ryan Email and Mascot Story 05:47 Baseball Chaos to Investing Lesson 07:47 AI Versus SaaS Debate 11:15 Pricing Models and Moats 22:11 Brookfield BIP Versus BIPC Explained 26:38 Why BIPC Dropped and Simplification 30:25 Discord Questions Teaser 30:52 Trade Desk Doubts 35:54 Valuation Reality Check 38:55 Execution Not Value 40:10 Rocket Lab Concentration 41:55 Regret Minimization 46:55 Singles vs Home Runs 49:22 Vinnie Risk Trimming 50:06 Three Types of Risk 54:50 Money Unplugged Reflections Companies mentioned: ADBE, ADSK, BAM, BEP, BEPC, BIP, BIPC, CRM, NBIS, NVDA, RKLB, SHOP, SNOW, TTD Find where to listen & subscribe,  portfolio contests, and contact information at https://investingunscripted.com ***************************************** To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscripted Listen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube ***************************************** Join our PatreonSubscribe to our portfolio on Savvy Trader Learn more about your ad choices. Visit megaphone.fm/adchoices

We hope you enjoy today's Scripture reading and devotional aimed at motivating you to apply God's word while strengthening your heart and nurturing your soul. Today's Bible reading is Psalm 147. To read along with the podcast, grab a print copy of the devotional. Browse other resources from Gloria Furman. ESV Bible narration read by Kristyn Getty. Follow us on social media to stay up to date: Instagram Facebook Twitter

On this Salcedo Storm Podcast:Amber Duke is Editor-in-chief of the Daily Caller. She's the Author of insightful book, The Snowflakes' Revolt: How Woke Millennials Hijacked American Media.

Hosted by David Cowen | Careers and the Business of Law Everyone's talking about Harvey, Legora, Spellbook, and Ivo. Nobody's talking about what they ride on top of. Tom Baldwin - founder and CEO of Entegrata, former CIO at Foley, Sheppard Mullin, Reed Smith, and Cadwalader - argues the real story is data infrastructure. Without a single source of truth, every AI tool in your firm is working from a partial picture. WHY THIS MATTERS? If your firm is buying AI tools without auditing the data underneath them, this is your warning shot. Tom's framing: toaster ovens need an electrical grid. KEY TAKEAWAYS AI tools work on narrow tasks, not whole-firm intelligence. 50 asset purchase agreements? Great. 200 million documents? No. Pulling documents out of your DMS strips away the metadata that makes them valuable - judge, opposing counsel, area of law, industry. That context is what AI actually needs. Business-of-law use cases (lateral prediction, cross-sell, client attrition, FP&A) are wide open. Practice of law got all the attention. A data lakehouse unifies data across 20-40 systems. Snowflake popularized it; Azure/Databricks/Fabric are the modern stacks.  Cost is roughly the same at 200 lawyers or 2,000 - six figures, ongoing. Compute and storage are cheap; talent is the investment. Firms move from "nice to have" to "must have" after a near-miss. Tom's example: a firm almost fired an associate because their FTE calc didn't account for maternity leave. The chief data officer is becoming a real C-suite role. Sidley's among the early movers. Watch the forward-deployed legal engineer trend. Harvey is hiring practitioners for these roles. PEOPLE MENTIONED David Cowen - Host Tom Baldwin - Entegrata founder & CEO Andrew Sieja- Founder of kCura/Relativity; Entegrata's first angel investor Renee Morris, Katrina Dittmer, Glenn LaForce - Data leaders Tom mentioned COMPANIES AND TOOLS MENTIONED Entegrata - Turnkey data lakehouse in Azure Snowflake, Azure, Databricks, Microsoft Fabric - Data platform stacks Harvey, Legora, Spellbook, Ivo - Practice-of-law AI tools Sidley Austin - Early adopter of the chief data officer role

Rise of the construction and power rental market is an understatement title for this episode, and Tony helps us unpack the macro and technology shifts underway underpinning this builtworld boom to support the AI race. We discuss how the world's largest equipment rental company, United Rentals (30 years old, 28,500 employees,1,750 rental locations spanning multiple continents), is approaching this record demand, how his team went about initially forming, and ultimately gaining company buy-in, to execute an AI strategy within a legacy network of IT established systems, and how United Rentals has thrown accelerant behind those technology efforts by forming strategic partnerships with technology giants like Procore and Snowflake.  

NOTE - Sorry for the edits in this video. I used Descript to edit out the umms and uhhs, and it was a bit too aggressive. Will make it less jarring in future videos. Thanks.Freestyle Friday, May 15, 2026Walking around Salt Lake City and unpacking the April 2026 data modeling survey results (334 respondents). Across three surveys now: January's State of Data Engineering (1,100), March's AI usage poll (193), and April's data modeling deep-dive. Not surprisingly, the same two pain points keep surfacing: time pressure and lack of clear ownership.90% of respondents have a data modeling pain point. When asked what would actually help, only 4.8% wanted better tools. Training, business requirements, time, and ownership crushed tooling in the rankings. Will AI improve things or make them worse? Time will tell...Also covered:Why physical data modeling has become the default (and why that's a problem)Data modeling vs. schema design - they're not the same thingSemantic layers (yay or nay?), Lloyd Tabb, and MalloyConway's Law, Reis's Law, and what changes when org charts get flattened by AIWhy leadership is under more pressure than everThe June half-year survey is coming

Hamza Tahir, co-founder of ZenML, joins the show to cut through the hype around long-running agents — arguing that at the end of the day, an agent is just a while loop that talks to a model, calls a tool, and writes to a file system. He covers the architecture of agent harnesses (inner and outer), what durable execution actually guarantees (and what it doesn't), and why the ML pipeline paradigm is a cleaner mental model than transactions for most agent workloads.Hamza also announces Kitaru — ZenML's new open-source execution runtime for async Python agents — built on five years of running ML workloads in enterprise environments.What we get into:Agents are while loops: The surprising simplicity under all the tooling: a brain (LLM), hands (tool calls), and a file system, stacked recursivelyInner harness vs outer harness: Why Pydantic AI owns the inner loop while production deployment needs a separate runtime layerWhat "long-running" actually means: Why the infrastructure we need to build is about extrapolating the future, not defining a time window todayDurable execution demystified: What checkpointing actually guarantees (infra failures, pod death, network drops) vs. what it never will (external state, bad LLM outputs, Snowflake rollbacks)ML pipelines vs transactions: Why bursty containers in Kubernetes map more naturally to agent workloads than microsecond-latency queue workers — and why Hamza argues against the complexity taxAnthropic opening the harness: Why letting other models run Claude Cowork is a "boss move," and what it means for the one-harness vs one-model debateHuman-in-the-loop, done right: The pod-kill-and-resume pattern, and why warm pools matter less when your agent runs for daysKitaru: ZenML's new open source durable execution runtime: zero-config local, Kubernetes/SageMaker/Vertex in production, built on Pydantic AI integrationArguing with Claude about Temporal: Hamza's story of spending hours getting an LLM to admit ZenML and Temporal solves the same problemIf you're architecting agents for production, picking between Pydantic AI, LangGraph, and Temporal, or just want to understand what "durable execution" actually means — this is the episode.// LINKS & RESOURCESKitaru on GitHub: https://github.com/zenml-io/kitaruKitaru launch blog post: https://www.zenml.io/blog/kitaru-launchKitaru on Hacker News: https://news.ycombinator.com/item?id=47520115Hamza Tahir on LinkedIn: https://www.linkedin.com/in/hamzatahirofficial/ZenML: https://www.zenml.io/ Timestamps[00:00] While Loop Checkpointing[00:24] Long-Running Agents Explained[01:28] Agent Harness Model Definitions[06:30] Durability and State Recovery[11:03] Agent Systems Layers[18:45] Durability in Agent Systems[22:07] ML Pipeline vs Transactions[29:23] Durability vs Guarantees[33:13] Durability vs Chaos Engineering[39:50] Kitaru Naming and Purpose[40:38] Wrap up#AIAgents #DurableExecution #OpenSource

Are AI agents silently draining your cloud data budget? With the rise of consumption-based pricing and autonomous AI queries, data teams are facing a perfect storm of skyrocketing costs and operational chaos. In this episode, I sit down with Sanjay Agrawal, CEO and Co-founder of Revefi, to discuss the intersection of data engineering, cloud warehouse optimization, and FinOps in the age of AI.We chat about how legacy on-prem habits are bankrupting modern data platforms, why query optimization is more about ROI than just speed, and how AI agents are changing the landscape of data consumption. Sanjay shares his deep expertise from building world-class databases at Microsoft and ThoughtSpot, revealing how to automate cost management and performance tuning for Snowflake, Databricks, and BigQuery.Key Topics:The evolution of cloud data warehouse pricing and why it breaks traditional budgets.How AI agents are causing massive, unpredictable spikes in compute spend.Real-world horror stories of ""lift and shift"" cloud migrations.Why database benchmarks focus on speed but ignore the actual ROI of data.The future of open table formats (Iceberg) and multi-engine routing.

At RBC Capital Markets' Private Tech Conference, Dan Nathan interviews RBC analysts Brad Erickson, Rishi Jaluria, Matt Swanson, and Matt Hedberg on Q1 earnings and AI's impact across internet and software. Erickson says demand is solid, hyperscalers are raising CapEx as cloud ROI improves, and explains why Meta's higher spend hurt the stock versus Google/Amazon's accelerating cloud revenue and margins; he ranks Amazon over Google over Meta and discusses Uber's AV positioning versus Waymo. Jaluria is bullish on Microsoft's broad AI opportunities, notes Copilot's growing paid users, and discusses multimodel strategy, small/medium models, and Oracle's controversial OpenAI-linked data center build and financing. Swanson covers ad/martech, highlighting Adobe's “orchestration” narrative, Trade Desk's holding-company tensions, and AppLovin's ROAS-driven model. Hedberg argues cyber and infrastructure need “more, not less” security post-Anthropic's Mythos, cites capitulation in software sentiment, favors consolidators like CrowdStrike, Palo Alto, Snowflake, Datadog, and ServiceNow, and notes AI-driven efficiency and layoffs as potential catalysts amid continued volatility. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Snowflake is the AI Data Cloud behind some of the world's largest enterprises — $4.68 billion in annual revenue, 29% year-over-year growth, and over 760 Forbes Global 2000 companies as customers. Baris Gultekin, VP of AI at Snowflake, leads the product efforts that sit at the center of how those enterprises actually operationalize AI. Before Snowflake, he co-founded Google Assistant and scaled it from 10 million to 500 million monthly users.What you'll learn:Why our data isn't clean enough is a delay tactic — and the scoped approach to move past itWhat the semantic layer is and how it lets AI answer business questions accurately, not just fluentlyWhy running AI next to data (instead of sending data to models) makes governance dramatically easierHow Snowflake deployed AI internally: a CEO-level non-optional mandate combined with bottom-up access to their own Cortex coding agentWhy context — not just data — is what agents need to operate reliably at enterprise scaleKey takeaways:Start with one scoped use case, build the semantic model around it, layer governance — don't wait for perfect dataContext is a shared reality for agents: unified data + business semantics + codified workflowsAI adoption compounds when leadership sets a hard mandate and simultaneously gives everyone a tool to experiment withCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Baris GultekinSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Some years ago, Anna Vigurs had an extraordinary experience in the Forest of Dean which subsequently marked a downturn in her health. As a child, during a long, but thankfully temporary period of disability, she had grown familiar with out-of-body experiences. Her ability to slip into altered states has remained throughout her life. Anna describes her trip into another realm on Summer Solstice where she met a group of beings and experienced a shift in time. We hear about her ghost encounter and a little man who was seen in her shared Uni house. We discuss Anna's doll-birthing practice and her upcoming exhibition with Justin James Reed at 'Lights in the Sky' Gallery in Richmond, Virginia which opens this Summer Solstice. On the Patreon group