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  • Snowflake’s transition from storing data to shipping with it
    2026/04/08
    Snowflake is betting that the future of AI isn’t just analyzing data, it’s acting on it. That means a shift away from chatbots and toward autonomous agents that can actually get work done. And Snowflake is reorganizing fast to keep up, from shipping hundreds of AI features to restructuring teams along the way.On this episode of TechCrunch’s Equity podcast, Rebecca Bellan sits down with Snowflake CEO Sridhar Ramaswamy to unpack the company’s transformation and what it signals about where AI is headed next. Listen to the full episode to hear: Why Ramaswamy believes the chatbot era is ending and the agentic era is beginning. How Snowflake is evolving from a data warehouse into an AI and applications platform. What “shipping with your data” actually looks like in practice. Why the company is making big internal changes to support its AI push. Subscribe to Equity on ⁠YouTube⁠,⁠ Apple Podcasts⁠,⁠ Overcast⁠,⁠ Spotify⁠ and all the casts. You also can follow Equity on⁠ X⁠ and⁠ Threads⁠, at @EquityPod. Chapters: 00:00 Intro 00:17 Snowflake’s AI shift and agentic future 01:45 Why 2026 marks the end of chatbots 04:09 Cortex Code, Snowflake Intelligence, and new products 06:09 Who benefits: non-technical users & enterprises 07:35 Adoption challenges and why AI pilots fail 12:11 How AI is reshaping jobs and skills 14:39 Layoffs, automation, and the future of documentation 18:37 Snowflake’s evolution into an AI platform 21:04 Competition: Databricks, hyperscalers, and AI giants 25:01 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    27 分
  • Space: the final frontier of AI infrastructure
    2026/04/03
    Tech companies are racing to build data centers in space, pitching orbital compute as the next frontier for AI infrastructure, even as the technical and economic realities remain far from clear. Add in OpenAI’s massive $122 billion round and Bluesky’s latest AI backlash, and the message is clear: The future of AI is being shaped as much by ambition and hype as it is by real-world constraints. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane unpack these massive capital bets, user backlash, and off-world compute plans along with Whoop’s major valuation and the literal downfall of robot Olaf. Listen to the full episode to hear about: OpenAI’s $122 billion fundraise and what its near-trillion-dollar valuation says about expectations for AI. Whoop’s $575 million raise and the shift toward “wearables 2.0” (and what happens to all that data). Bluesky’s AI-powered feed builder and why it triggered a major user backlash. The rise of data centers in space and whether they are financially or physically feasible. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:20 A humanoid Olaf robot collapses at Disneyland Paris 03:30 OpenAI raises $122B at an $852B valuation 11:30 Whoop lands $575M and bets big on wearable data 18:50 The risks (and value) of personal health data 23:00 Bluesky’s AI feed builder sparks backlash 30:00 Can Bluesky keep growing — and compete with X? 36:30 The race to build data centers in space 44:30 SpaceX, Starlink, and the business of orbital compute 49:30 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    34 分
  • Why private wealth is cutting out the VC middleman
    2026/04/01
    The VC middleman is getting cut out faster than anyone expected. Family offices and private wealth firms are going direct: writing checks, taking board seats, even incubating companies from scratch. And more founders are starting to notice. In February alone, family offices made 41 direct investments, including one Midwest-based firm that led a $230 million Series B into an AI chip startup. On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Mitch Stein and Ari Schottenstein, founder and head of alternatives at ARENA Private Wealth, to find out what this shift means for founders, cap tables, and the future of AI investment. Listen to the full episode to hear: How Arena landed the lead on Positron's $230 million Series B, and why the CEO specifically wanted them on his cap table How Arena does due diligence on technical companies What "tourist capital" actually looks like, and the red flags founders should watch for as family offices flood into AI deals Why some VCs are quietly unhappy about this trend (and why Arena thinks that's their problem) Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 03:13 Why family offices are going direct now 06:03 The gen 2 & gen 3 family office shift 07:22 Is this strategic or just AI FOMO? 10:17 How Arena got into the Positron deal 14:30 Why founders want private wealth on their cap table 18:31 Due diligence on technical companies 21:56 Red flags founders should watch for 25:04 Are VCs threatened by this trend? 27:47 Taking board seats & level of involvement 34:17 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    32 分
  • VCs are betting billions on AI's next wave, so why is OpenAI killing Sora?
    2026/03/27
    When an 82-year-old Kentucky woman was offered $26 million from an AI company that wanted to build a data center on her land, she said no. Sure, that same company can try to rezone 2,000 acres nearby anyway, but as AI infrastructure stretches further into the real world, the real world is starting to push back. That tension is everywhere this week, from OpenAI shutting down its Sora app to courts finally starting to hold social platforms accountable. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what it looks like when the AI hype cycle meets reality. Listen to the full episode to hear about: Why rival prediction market CEOs of Kalshi and Polymarket are co-investing in a $35M VC fund How drone startups like Zipline, Lucid Bots, and Brinc are finding real traction where other robotics plays have stalled What Kleiner Perkins' $3.5B raise says about where the biggest VC firms think the next AI wave is going Why two separate court verdicts against Meta in the same week could be the “tobacco moment” for social media Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices
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    37 分
  • ReelShort made $1.2 billion on werewolf romances. Watch Club wants to do it better.
    2026/03/25
    Over the past few years, a new category of mobile apps has quietly exploded into a multi-billion dollar business. They're called “micro dramas” — short-form, mobile-first scripted shows designed to be watched vertically on your phone. Think soap opera meets TikTok, complete with secret billionaire romances, disapproving werewolf mothers-in-law, and cliffhangers engineered to keep users tapping. The leading app, ReelShort, made $1.2 billion in consumer spending last year alone. On this episode of TechCrunch's Equity podcast, Rebecca Bellan and TechCrunch senior reporter Amanda Silberling sit down with Henry Soong, founder of Watch Club, who thinks the micro drama industry is still "in its MySpace era." He has a vision for what the Facebook moment could look like. Listen to the full episode to hear: Why micro dramas took off in China while Quibi burned through $2 billion and failed in the U.S., and what that gap reveals about content, product, and business model. How Watch Club is targeting a completely different audience than ReelShort and Drama Box. The tension between building an intentional social experience and optimizing for engagement the way TikTok does. Whether AI is coming for the werewolf billionaire romance script. Amanda has thoughts. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:11 Why micro dramas, and why now? 04:25 What makes Watch Club different 07:29 The monetization model problem 18:52 Optimizing for intentionality, not engagement 24:23 Why Quibby failed (content, product & business model) 28:22 Defensibility: tech company or studio? 31:36 AI, the WGA, and the future of storytelling 33:44 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    37 分
  • Nvidia has an OpenClaw strategy. Do you?
    2026/03/20
    Jensen Huang took the stage at Nvidia's GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, declaring that every company needs an “OpenClaw strategy,” and closing with a rambling Olaf robot that had to get its mic cut. The message was hard to miss: Nvidia wants to be foundational to everything, from AI training to autonomous vehicles to Disney parks. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane break down what Nvidia's growing web of AI infrastructure partnerships actually means for startups, and more of the week's headlines. Listen to the full episode to hear about: Travis Kalanick’s return building a "wheelbase for robots" with his new startup Atoms, and the crew has questions about Kalanick’s acquisitions along the way Rivian’s partnership with Uber to build robotaxi versions of its R2 in a deal worth up to $1.25 billion, while pushing back its EBITDA target to do it Frore landing a $1.64 billion valuation for its AI chip cooling systems xAI rebooting, again, with only two of its original eleven co-founders still standing Garry Tan's Claude Code setup went viral at SXSW (Spoiler: the crew is not impressed). Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:20 Garry Tan's Claude Code setup goes viral at SXSW 03:37 Travis Kalanick is back with a new startup 12:51 Uber and Rivian's $1.25B RoboTaxi deal 20:54 Chip cooling startup Frore becomes a unicorn 22:56 Nvidia GTC recap: $1 trillion in sales projections 31:42 Elon Musk is rebooting xAI...again 36:37 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    38 分
  • The PhD students who became the judges of the AI industry
    2026/03/18
    Artificial intelligence models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best — and who decides that? Arena, formerly LM Arena, has emerged as the de facto public leaderboard for frontier LLMs, influencing funding, launches, and PR cycles. In just seven months, the startup went from a UC Berkeley PhD research project to being valued at $1.7 billion. On this episode of TechCrunch's Equity podcast, Rebecca Bellan catches up with Arena co-founders Anastasios Angelopoulos and Wei-Lin Chiang to determine how a team like theirs can build a neutral benchmark when the companies they’re ranking are also their backers. Listen to the full episode to hear: How Arena actually works, and why its founders say you can't game it the way you mighta static benchmark. What "structural neutrality" actually means, and whether taking money from OpenAI, Google, and Anthropic is a conflict of interest. How Arena is moving beyond chat to benchmark agents, coding, and real-world tasks with a new enterprise product. Why Claude is currently winning the expert leaderboard for legal and medical use cases. Arena's bet on what comes after LLMs, and why agents are next on the leaderboard. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 03:00 How Arena's leaderboard works, and why it's different from static benchmarks 07:00 Reproducibility concerns and how to scale 08:45 Can Arena stay independent while taking money from the labs it ranks? 11:15 Diversity, fraud prevention, and abuse mitigation 18:15 Arena's "data moat" 19:20 Agent benchmarking and expert leaderboards 21:40 Open sourcing data 22:45 How do Arena's rankings shape AI development? 24:15 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    26 分
  • Wiz's first investor breaks down Google's $32B acquisition
    2026/03/13
    According to Index Ventures Partner Shardul Shah, cybersecurity startup Wiz sits “at the center of three tailwinds: AI, cloud, and security spend.” Those tailwinds powered what just became the largest venture-backed acquisition in history — Google's $32 billion deal, finalized after a declined 2024 offer, antitrust review on both sides of the Atlantic, and an extra $9 billion to sweeten the pot. On this episode of TechCrunch's Equity podcast, Anthony Ha, Rebecca Bellan, and Sean O'Kane sit down with Shah to dig into what made Wiz worth that price tag, and also cover more of the week's headlines. Listen to the full episode to hear about: Why a DOGE employee allegedly walked out of the Social Security Administration with a thumb drive full of personal data, and the questions it raises about access to sensitive systems Taya and Sandbar, the latest startups betting voice is the next big AI interface — but do normal consumers agree? Palmer Luckey raising for a retro gaming startup at a $1 billion valuation Meta’s acquisition of Moltbook, the viral AI agent social network The latest in the Anthropic vs. DoD saga, including tech workers at OpenAI, Google, and Microsoft signing their names on a legal brief in support of Anthropic Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:16 Did a DOGE employee steal your SSN? 02:53 AI note-taking wearables are back: Taya & Sandbar 09:18 Palmer Lucky's retro gaming startup ModRetro 13:39 Meta acquires AI agent social network Moltbot 18:54 Inside Google's $32B Wiz acquisition with Shardul Shah 28:41 Anthropic's lawsuit against the DoD 38:40 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    41 分