TechCrunch

•

Канал • Подкастов: 2

Технологии

Технологии

Еженедельно
Предпринимательство

Предпринимательство

Еженедельно

17 июн.

NEA's Tiffany Luck on AI IPOs, personal agents, and the ROI reckoning

Tokenmaxxing was the hottest trend in Silicon Valley earlier this year, with CEOs encouraging employees to push AI usage as far as it would go. Then the bill came due. Uber reportedly blew through its annual AI budget in a few months, some companies cut Claude licenses for parts of their org, and Meta killed its internal leaderboard. This tension between hype and ROI is exactly where NEA partner Tiffany Luck lives these days. She got her start convincing companies that e-commerce was the future, and now she's all in on AI, especially when it comes to the possibilities for "magic moments" in the consumer business. On this episode of TechCrunch's Equity podcast, Luck joins Rebecca Bellan to talk about the future of personal agents, her thoughts on this year's AI IPOs, and how startups are stepping in to help enterprises track return on AI spend. Listen to the full episode to hear: What the tokenmaxxing-to-ROI shift means for how companies measure AI spend. Why forward deployed engineers are becoming a "Trojan horse" for AI adoption. How enterprises are mixing and matching models instead of committing to one provider. Why Tiffany thinks value is being created at every layer of the AI stack, not just at the model layer. 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 00:51 Tiffany Luck's path from Lot18 to Amazon to VC 3:45 Magic moments: Waymo, healthcare, and the gap in personal agents 7:36 Privacy, security, and trusting AI with your life 10:39 IPO outlook: Anthropic vs. OpenAI on public markets 13:58 Compute, infrastructure, and where the value sits 15:41 What’s the ROI on tokenmaxxing? 27:07 Forward deployed engineers as a ‘Trojan horse’ 32:49 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

17 июн.

•

35 мин.
12 июн.

The SpaceX IPO has finally arrived

The biggest IPO in history dropped this morning on the Nasdaq — a debut so big, our team thought it deserved its own bonus Equity podcast episode. On this special bonus episode, Senior Reporter Sean O'Kane called up our AI Editor Russell Brandom to help him break down the $2 trillion valuation, Elon Musk becoming the world's first trillionaire, and what it all means for Anthropic and OpenAI still waiting in the wings. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

12 июн.

•

20 мин.
22 мая

Elon Musk can't hear you over the sound of his $1.75 trillion IPO

The SpaceX S-1 is finally here, and the story it tells goes way further than rockets. The filing runs to 36 pages of risk factors alone, and the numbers inside match the ambition: a $28 trillion total addressable market, a pay package tied to establishing a Mars colony, and a valuation target that would make it the largest IPO in American history. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what the filing actually says, what it leaves out, and whether any of this math connects to reality. Listen to the full episode to hear about: Why NanoCo turned down a $20 million buyout to raise a $12 million seed instead Anthropic’s acquisition of SDK startup Stainless, and why taking a tool off the table matters as much as the $300 million price tag What happened when commencement speakers started talking up AI in front of graduating classes, and why the students weren't having it Google’s I/O announcements claiming search as you know it is over, and what the AI makeover could mean for the open web 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

22 мая

•

35 мин.
5 июн.

The 'together tech' wave might be the most intriguing startup bet of 2026

While the AI fundraising machine keeps breaking its own records, some founders are building in the other direction. Mirror founder Brynn Putnam just raised money for Board, a startup focused on bringing people together through in-person games and social experiences. Cyberdeck creators are going viral crafting whimsical DIY computers that literally encourage users to touch grass. Unlike the AI-free browser crowd, this doesn't just feel like backlash, but also people genuinely gravitating toward things that feel a little more human. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the week's headlines, from the "together tech" wave to what Anthropic's confidential IPO filing means against the backdrop of Alphabet's $80 billion AI raise, and whether the money is all flowing back to the big guys anyway. Listen to the full episode to hear: Why ex-Meta CTO Mike Schroepfer raised $250 million for climate tech specifically, at a moment when almost nobody else is How rocket engine startup Impulse raised $500 million — and is loudly emphasizing that those funds will be spent on people, not AI A look inside Anthropic's S-1, and what the team is looking forward to once we can finally compare the AI labs' financials What two YouTube directors cracking the box office tells us about creator economy power 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 01:45 YouTubers are taking over the box office 02:46 Everyone's fleeing climate tech — except this $250M fund 07:03 Impulse Space raises $500M and is hiring humans 13:03 Anthropic quietly files for IPO as Alphabet drops $85B on AI 21:52 The token bubble is starting to burst 26:08 From Board games to DIY cyberdecks, founders are betting on IRL 33:09 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

5 июн.

•

34 мин.
2 апр.

Diverse teams start with diverse VCs with Leah Solivan, Taskrabbit

If one thing has become clear this season, finding the right talent for your team isn’t as easy as picking from a pile of resumes This week’s guest is Leah Solivan, the founder of Taskrabbit and now an early-stage investor who has seen that the power to change a homogenous startup exosystem comes from empowering diverse VCs to fund underrepresented founders who will hire the hidden tech talent. From bootstrapping TaskRabbit on credit cards to scaling it into one of the defining companies of the gig economy, Leah learned firsthand that the hardest part of building a company isn’t the product, it’s selecting the right people to build it. In this episode, Isabelle Johannessen and Leah unpack what it really takes to build diverse teams from day one and why most companies get it wrong by waiting too long. They also explore how the lack of diversity in venture capital directly shapes who gets funded, and ultimately, who gets hired. They discuss: How to build diverse teams intentionally from the very beginning Why the “easy path” in hiring leads to less diverse outcomes The connection between diverse VCs and diverse companies How to hire for culture and values over credentials Apply to Startup Battlefield: We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself): techcrunch.com/apply. Be sure to say you heard about Startup Battlefield from the Build Mode podcast. TechCrunch Disrupt: If you're thinking about applying to Startup Battlefield, then October 13 to 15 in San Francisco, we're back for TechCrunch Disrupt, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with 1000s of founders, VCs, and tech enthusiasts, then grab your tickets. Use code buildmode15 for 15% off any ticket type. Chapters: 00:00 The hard way to hire diverse talent 01:20 From engineer to Taskrabbit founder03:39 The moment that sparked Taskrabbit 07:39 Why building teams is the hardest part 12:06 Learning how to hire from scratch 17:36 Why venture capital lacks diversity 27:25 How to build diverse teams from day one 39:42 What founders get wrong about competition

2 апр.

•

47 мин.
24 апр.

Apple's new CEO, and why Elon Musk wants to buy Cursor for $60B

A new era is on the way for Apple as Tim Cook plans to step down from his CEO role in September, handing the reins to hardware chief John Ternus. Ternus may be inheriting one of the most durable businesses in tech, but he’s also stepping into a very different ecosystem than the one Cook spent decades shaping. The App Store’s 30% cut is under pressure, the behind-the-scenes power Apple once held over developers is being challenged, and AI-native apps are changing what it means to build on Apple’s platform. On this episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into what this transition means for startups and a closer look at some of the week’s biggest deals — including SpaceX's $60B option on Cursor. Listen to the full episode to hear about: Why Anthropic’s Mythos model is raising questions about both safety and marketing The $5 billion Amazon-Anthropic deal that looks a lot like every other circular AI infrastructure play What the SpaceX-Cursor agreement (and that $10 billion breakup fee) says about Elon Musk's AI strategy post-xAI merger Why fintech Revolut and AI chip startup Cerebras' public market plans have us wondering whether this is actually the year the IPO market reopens 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 00:26 Anthropic's Mythos accessed by “unauthorized groups” 04:28 Is Amazon's $5B Anthropic investment just another circular deal? 09:53 SpaceX and Cursor’s $60B option 18:25 Is this finally the year of the IPO? 21:38 SpaceX, Revolut, and Cerebras: the IPOs to watch 26:41 Tim Cook's retirement plans 29:15 What a new Apple CEO means for startups and the App Store 35:59 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

24 апр.

•

38 мин.
3 апр.

Space: the final frontier of AI infrastructure

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

3 апр.

•

34 мин.
28 мая · Бонусный контент

Best of Build Mode: Cofounders, Conflict and Compatibility

This week on Build Mode, we’re diving back into the archives for a special best-of episode all about effective partnerships, from cofounder relationships and team trust to investor dynamics and leadership communication. Host Isabelle Johannesen and producer Maggie Nye revisit some of the most insightful conversations from past seasons to explore what makes startup partnerships actually work. Guests share candid stories about finding cofounders online, navigating founder breakups, building trust inside fast-growing teams, balancing marriage and business, choosing the right investors, and learning when compatibility matters more than credentials. In this episode, you’ll hear from: Jasper Carmichael-Jack, cofounder & CEO of Artisan Ian Schmidt, partner & consultant at Trimergence Hala Jawani and Alessio Trestani, cofounders of Rivio Leah Solivan, founder of TaskRabbit Ross Fubini, managing partner at XYZ Venture Capital and Leslie Feinzaig, founder & CEO of Graham & Walker Sarah Lucena, founder & CEO of Mappa Whether you’re searching for the right cofounder, managing conflict on your team, scaling as a solo founder, or building relationships with investors, this episode is packed with practical advice and honest founder lessons from people who’ve lived it. Chapters: 00:00 Intro: 01:00 Jasper Carmichael-Jack (Artisan): Meeting a cofounder online and navigating a founder breakup 04:20 Ian Schmidt (Trimergence): Frameworks for conflict resolution, communication, and team trust 08:15 Hala Jawani & Alessio Cristante (Riveo): Building a startup as married cofounders 10:20 Leah Solivan (TaskRabbit): Transitioning leadership and building executive trust 12:30 Ross Fubini (XYZ Ventures) & Leslie Feinzaig (Graham & Walker): Choosing the right investors and building your cap table 16:05 Sarah Lucena (Mapa): Compatibility, investor alignment, and finding the right people Subscribe to Build Mode on Apple Podcasts, Spotify, or wherever you like to listen. And watch the full videos on YouTube. New episodes of Build Mode drop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams. Apply to Startup Battlefield: We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself): techcrunch.com/apply. Be sure to say you heard about Startup Battlefield from the Build Mode podcast.

28 мая · Бонусный контент

•

21 мин.
10 апр.

Luma AI's Amit Jain on why most world model companies are getting it completely wrong

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

10 апр.

•

22 мин.
17 апр.

Tokenmaxxing, OpenAI's shopping spree, and the AI Anxiety Gap

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

17 апр.

•

39 мин.

TechCrunch podcasts cover the business of technology, startups, venture capital funding, crypto, and the humans behind it all.

Сайт

TechCrunch

Популярные подкасты

NEA's Tiffany Luck on AI IPOs, personal agents, and the ROI reckoning

The SpaceX IPO has finally arrived

Elon Musk can't hear you over the sound of his $1.75 trillion IPO

The 'together tech' wave might be the most intriguing startup bet of 2026

Diverse teams start with diverse VCs with Leah Solivan, Taskrabbit

Apple's new CEO, and why Elon Musk wants to buy Cursor for $60B

Space: the final frontier of AI infrastructure

Best of Build Mode: Cofounders, Conflict and Compatibility

Luma AI's Amit Jain on why most world model companies are getting it completely wrong

Tokenmaxxing, OpenAI's shopping spree, and the AI Anxiety Gap

Об этом подкасте

TechCrunch

Популярные подкасты

Популярные выпуски

Об этом подкасте