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4月24日

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

4月24日

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38 分鐘
4月29日

Is AI video just a prequel? Runway's CEO thinks world models are next

AI-generated video has gone from novelty to creative tool in AI-generated video has gone from novelty to creative tool almost overnight, and Runway has a front-row seat to the shift. The New York-based company has raised close to $860 million at a $5.3 billion valuation, and its models are going toe-to-toe with the most well-funded labs in the world, including Google and OpenAI. And the technology goes way beyond making videos: it's now pushing into general world models with applications in gaming, robotics, and maybe something closer to general intelligence. On this episode of TechCrunch's Equity podcast, host Rebecca Bellan sits down with co-founder and CEO Cristobal Valenzuela to talk about where video generation goes from here, and why Runway's ambitions now reach well beyond Hollywood. Listen to the full episode to hear about: Why Valenzuela thinks the real constraint on filmmaking has never been technology, and what changes when it is How Runway thinks about world models differently than Google and other labs building in the space What "nonlinear media" means, and why real-time video generation opens up use cases way beyond content creation Why Valenzuela pushes back on the idea that AI companions are “inherently dystopian” 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 00:56 Can AI really replace Hollywood? 04:18 Why "AI slop" fears miss the point 08:23 Research lab, software company, or creative studio? 13:42 From video generation to world models, explained 17:36 Omni models and multimodal training 17:50 The three pillars: linear media, non-linear media, physical AI 19:31 Real-time video and the "Characters" product 22:33 Are AI companions inherently dystopian? 25:59 Physical AI and robotics 28:35 Where growth is coming from: enterprise and prosumer 29:31 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

4月29日

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32 分鐘
3月25日

ReelShort made $1.2 billion on werewolf romances. Watch Club wants to do it better.

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

3月25日

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37 分鐘
4月22日

Fusion doesn't have a normal startup timeline, and investors are fine with that

Fusion energy has been "20 years away" for decades, but has the science finally caught up? Private investment in fusion companies surged from $10 billion to $15 billion in just months, and the money is coming from places you wouldn't expect. On this episode of TechCrunch's Equity podcast, Rebecca Bellan and guest host Tim De Chant sit down with Rachel Slaybaugh, general partner at DCVC, to break down why serious investors are finally treating fusion as a real asset class, and what the return thesis actually looks like when no one expects a power plant in their fund lifetime. Listen to the full episode to hear about: Why the investment thesis for fusion looks less like traditional VC and more like biotech or SpaceX, and what "fusion euphoria" has to do with it What the Q value milestone actually means, and how close leading startups are to hitting the number that could trigger a public market opening How superconducting tape and AI-assisted plasma physics are quietly doing as much work as the big headline science breakthroughs Why one fusion company merging with Trump Media and Technology Group had Tim doing a double-take at his inbox 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

4月22日

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34 分鐘
4月3日

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

4月3日

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34 分鐘
4月10日

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

4月10日

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22 分鐘
4月17日

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

4月17日

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39 分鐘
3月13日

Wiz's first investor breaks down Google's $32B acquisition

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

3月13日

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41 分鐘
2月6日

How far will Elon Musk take the ‘everything’ business as SpaceX and xAI merge?

Elon Musk has merged SpaceX and xAI, creating what might be the blueprint for a new Silicon Valley power structure. With his $800 billion net worth already rivaling historic conglomerate GE's peak market cap, and Musk being vocal about his view that "tech victory is decided by velocity of innovation," the question isn't whether a personal conglomerate can be built, but rather how far Musk himself is going to take it. Today on Equity, we're unpacking this new era of the "everything" business, whether we'll see others like Sam Altman follow suit, and more of the week's headlines. Listen to the full episode to hear about: Waymo's new $16B funding and why Alphabet staying as majority owner matters for an eventual IPO Why everyone from Intel to Tesla is trying to break Nvidia's AI chip dominance ElevenLabs’ $11B valuation, and why some investors are doubling — and quadrupling — down as it moves beyond voice AI Positron's $230M bet on power-efficient chips as the next frontier 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

2月6日

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39 分鐘
3月6日

Anthropic vs. the Pentagon, the SaaSpocalypse, and why competition is good, actually

The Pentagon has officially designated Anthropic a supply-chain risk after the two failed to agree on how much control the military should have over its AI models, including its use in autonomous weapons and mass domestic surveillance. As Anthropic’s $200 million contract fell apart, the DoD turned to OpenAI instead, which accepted and then watched ChatGPT uninstalls surge 295%. As the stakes keep rising, the question remains: how much unrestricted access should the military have to an AI model? On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what startups should think about when chasing federal contracts, especially when nobody seems to know what to do with AI in Washington, and more of the week's headlines. Listen to the full episode to hear more about: Paramount’s massive deal with Warner Bros, and the Equity crew’s ideas for what the new HBO Max-Paramount+ hybrid should be called MyFitnessPal's acquisition of Cal AI, the calorie-tracking app built by teenagers Who dropped $1 billion on Pinterest’s AI mission and how the company spent it on share buybacks. (Spoiler: Kirsten has thoughts.) Anduril is raising again at a reported $60 billion valuation Whether companies should brace themselves for the SaaSpocalypse, or if it’s just another chapter of the AI hype cycle 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

3月6日

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35 分鐘

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

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

Is AI video just a prequel? Runway's CEO thinks world models are next

ReelShort made $1.2 billion on werewolf romances. Watch Club wants to do it better.

Fusion doesn't have a normal startup timeline, and investors are fine with that

Space: the final frontier of AI infrastructure

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

Wiz's first investor breaks down Google's $32B acquisition

How far will Elon Musk take the ‘everything’ business as SpaceX and xAI merge?

Anthropic vs. the Pentagon, the SaaSpocalypse, and why competition is good, actually

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