Equity Podcast Por TechCrunch Rebecca Bellan Kirsten Korosec Anthony Ha Sean O'Kane Theresa Loconsolo arte de portada

Equity

Equity

De: TechCrunch Rebecca Bellan Kirsten Korosec Anthony Ha Sean O'Kane Theresa Loconsolo
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The intersection of technology, startups, and venture capital touches everything now. That’s why Equity, TechCrunch's flagship podcast, digs into the business of startups for entrepreneurs and enthusiasts alike. Every Wednesday and Friday, TechCrunch reporters keep you up-to-date on the world of business, technology, and venture capital. Equity is ranked the No.2 podcast in the Top 100 Venture Capital All time leaderboard on Goodpods—As well as No.17 for the Top 100 Finance All time chart and No.32 for the Top 100 Business News All time chart. Economía Gestión y Liderazgo Liderazgo Política y Gobierno
Episodios
  • Luma AI's Amit Jain on why most world model companies are getting it completely wrong

    Luma AI's Amit Jain on why most world model companies are getting it completely wrong
    Apr 10 2026
    LLMs may have kicked off this AI boom, but the ceiling is closer than the hype suggests. As models run out of text data to train on, the companies and investors paying attention are already moving on. The next wave isn't better chatbots; it's machines that can understand the physical world. Luma AI, the Bay Area lab that raised over $1.4 billion from a16z, Nvidia, and Amazon, is betting on exactly that. On episode of TechCrunch's Equity podcast, we’re bringing you a conversation Rebecca Bellan sat down with Amit Jain, co-founder and CEO of Luma AI, at Web Summit Qatar. Together, the pair dug into where the next trillion-dollar AI opportunity actually gets built, and whether the companies chasing it even know what they're building yet. Listen to the full episode to hear about: Why video, audio, and images are the real frontier for AI training data, not text What an "intelligent world model" actually is, and why Jain thinks most companies building them are getting it completely wrong The case for why AI won't kill creative jobs, and why Jain thinks studio heads are the real problem How the path from video generation to robotics to AGI is simpler than anyone's making it sound 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 01:13 Why LLMs are hitting a ceiling 02:43 The data problem & what comes after LLMs 04:30 What actually makes a world model a world model 06:05 Why 3D data is a dead end 07:39 What Luma is building next 09:08 How much humans stay in the loop 10:00 Near-term use cases for agentic video 11:22 Will AI kill jobs in film & production? 13:30 Why the entertainment industry is already dying 15:27 Why we actually need more content, not less 17:46 Luma's roadmap: generation, understanding, and robotics 19:54 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
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    22 m
  • Snowflake’s transition from storing data to shipping with it

    Snowflake’s transition from storing data to shipping with it
    Apr 8 2026
    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 m
  • Space: the final frontier of AI infrastructure

    Space: the final frontier of AI infrastructure
    Apr 3 2026
    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 m
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