Equity

The gap between AI insiders and everyone else is widening, and the spending, suspicion, and even new vocabulary are starting to show it. While OpenAI is busy buying up everything from finance apps to talk shows, a certain shoe company just rebranded as an AI infrastructure play, and Anthropic unveiled a model it says is too powerful to release publicly ...but apparently not too powerful to demo to Federal Reserve Chair Jerome Powell. 

On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what's actually being built in AI infrastructure, who's winning the enterprise battle between OpenAI and Anthropic, and more of the week's headlines. 

Listen to the full episode to hear about: 


Why chipmakers AMD, Arm, and Qualcomm just piled $60M into UK self-driving startup Wayve, and what Uber's $300M milestone bid says about who's winning the AV race 


How data center startup Fluidstack is positioning itself for the frontier labs, including a reported $50B agreement with Anthropic 


What Claude Code's moment at the HumanX conference reveals about where the OpenAI vs. Anthropic rivalry is actually playing out 


Why tokenmaxxing, and Meta's leaked internal leaderboard, might say more about optics than actual productivity 

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 

00:25 Allbirds is now an AI company, apparently 

04:48 Why chipmakers are betting on Wayve 

12:01 Fluidstack wants $1B to build AI data centers 

16:24 OpenAI buys a finance app and a talk show 

21:27 Anthropic vs. OpenAI in enterprise 

24:15 The Anthropic model they won't release to the public 

26:47 Why AI feels so distant to everyone else 

30:47 What even is tokenmaxxing? 

34:49 Parasail's $32M bet on cheaper AI inference 

36:39 Outro 
Learn more about your ad choices. Visit megaphone.fm/adchoices

When Grammy-nominated singer-songwriter Aloe Blacc got COVID despite being vaccinated and boosted, he tried to fund research for a better solution. What he quickly found out? You can't just write a check in biotech. Regulators require a commercialization plan, and philanthropy doesn't move science through clinical trials or get you a license on university IP. Now, he's bootstrapping a cancer drug platform targeting pancreatic cancer, a disease that kills 90% of its patients, and intentionally waiting to raise from his network until peer-reviewed papers can make his case. 

On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Aloe Blacc to talk about what happens when a creator decides to build instead of just invest, how Aloe is watching AI reshape both the biotech and music industries in real time, and his thoughts on who actually wins. 

Listen to the full episode to hear: 


How he’s navigating a world where credibility is earned in data, not fame 


How a University of Houston molecule discovery platform could cut years off drug development timelines 


Why he thinks record labels, not artists or AI companies, will ultimately control the economics of AI-generated music 


What Suno taught him about prototyping, and why his next album will still be recorded with live musicians 

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

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

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

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