Apple 팟캐스트의 Kate Clark

Equity

Equity

TechCrunch, Rebecca Bellan, Kirsten Korosec, Anthony Ha, Sean O'Kane, Theresa Loconsolo

17시간 전

Aurora's Chris Urmson on why self-driving trucks are finally ready (Live at HumanX)

Self-driving has been "almost here" for over a decade. But somewhere between DARPA challenges and a handful of driverless trucks hauling freight between Dallas and Houston, Aurora co-founder and CEO Chris Urmson’s story changed. The self-driving truck company started commercial driverless operations last April and is now scaling from a handful of trucks to hundreds this year. On this episode of TechCrunch's Equity podcast, we're bringing you a conversation Rebecca Bellan had with Urmson at the HumanX conference in San Francisco. The pair dug into the long road from lab to highway and how physical AI differs from the LLM boom everyone else is chasing. Listen to the full episode to hear about: Why long-haul trucking may crack the autonomy business case before robotaxis ever do What "verifiable AI" means and why Urmson thinks end-to-end systems are a liability when lives are on the line The surprisingly common-sense solution to the driverless truck safety triangle problem What Aurora's roadmap looks like beyond trucking, and which companies in the autonomy space have Urmson genuinely excited 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

33분
6일 전

Did you know you can't steal a charity? Don't worry. Elon Musk will remind you.

Elon Musk spent the better part of three days on the witness stand this week in his lawsuit against OpenAI, and it's already getting messy. Emails, texts, and his own tweets are surfacing in court, and there are plenty more witnesses to come. Musk's argument against OpenAI? By converting the company to a for-profit model, Sam Altman betrayed the “nonprofit for the benefit of humanity” mission Musk signed up to fund. As Musk keeps reminding the courtroom: “You can't steal a charity.” On this episode of TechCrunch's Equity podcast, Kirsten Korosec and Sean O'Kane break down what's actually at stake in the courtroom and what to watch for as Altman and others take the stand, plus deals, defense tech, and what Big Tech's earnings week revealed about the limits of the AI spending era. Listen to the full episode to hear about: Why cloud was the winner of earnings week, and what AWS, Google, and Microsoft's numbers say about where enterprise AI spending is actually landing The scholarship app founder taking Sallie Mae to court after they acquired his startup…and began selling its student data to ad networks and universities BMW i Ventures new $300 million fund with its sights set on AI How defense tech startup Scout AI is pitching “military AGI” using vision-language-action (VLA) models 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

39분
4월 29일

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

32분
4월 24일

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

38분
4월 22일

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

34분
4월 17일

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

39분
4월 8일

Snowflake’s transition from storing data to shipping with it

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

27분
4월 3일

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

34분
4월 1일

Why private wealth is cutting out the VC middleman

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

32분
4월 10일

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

22분
3월 27일

VCs are betting billions on AI's next wave, so why is OpenAI killing Sora?

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. Chapters: 00:00 Intro 00:30 Would you turn down $26M for your farm? 03:56 Rivals Kalshi & Polymarket CEOs are investing together 10:28 Deals for drones: Zipline, Brinc & Lucid Bots 18:17 Kleiner Perkins goes all-in on AI with $3.5B raise 22:52 OpenAI shuts down Sora 28:04 Meta gets hit with dual verdicts 34:56 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

37분
3월 20일

Nvidia has an OpenClaw strategy. Do you?

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

38분
2월 18일

Google Cloud's VP for startups on reading your "check engine light" before it's too late

Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choices can have unforeseen consequences once startups move beyond free credits and into real cloud bills. On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Darren Mowry, Google Cloud’s vice president of global startups who is right at the center of those tradeoffs. Together, they discuss what Mowry’s seeing across the startup ecosystem, how Google Cloud is competing for AI startups, and what founders should be thinking about as they scale. Listen to the full episode to hear about: How Google positions against AWS and Microsoft in the AI startup race. TPUs vs GPUs: How much does hardware choice matter for early-stage companies? Which AI verticals are seeing real growth, and what’s standing out in biotech, climate tech, developer tools, and world models. What red flags will signal that a startup isn’t going to make it. 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

32분
4월 15일

The musician-turned-biotech-founder waiting to fundraise

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

29분
2월 13일

AI burnout, billion-dollar bets, and Silicon Valley's Epstein problem

AI companies have been hemorrhaging talent the past few weeks. Half of xAI’s founding team has left the company — some on their own, others through “restructuring” — while OpenAI is facing its own shakeups, from the disbanding of its mission alignment team to the firing of a policy exec who opposed its “adult mode” feature. On this episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the week's biggest deals and departures, from billion-dollar bets on fusion and robotics to the tech exodus reshaping AI companies. Listen to the full episode to hear about: Why humanoid robot startups are raising nearly $1 billion and partnering with Google DeepMind Whether fusion power startup Inertia Enterprises can actually deliver on its 2030 timeline, and why investors keep betting millions What the Epstein files reveal about Silicon Valley dealmaking, particularly during the EV boom Why AI Super Bowl ads might not be landing outside Silicon Valley Chapters 00:00 Intro 02:46 AI Super Bowl ads ⁠aren’t quite landing⁠ outside of Silicon Valley 04:31 Apptronik raises $935M for humanoid robotics 09:05 Will automakers partner with humanoid robotics startups? 13:05 Inertia Enterprises raises $450M for fusion energy 18:44 What the Epstein files reveal about ⁠Silicon Valley dealmaking⁠ 30:56 The exodus at xAI and OpenAI, and what it means for the AI race 37:22 Outro 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

39분
2월 11일

Glean’s fight to own the AI layer inside every company

Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. But who will own the AI layer that powers all of it? Glean, which started as an enterprise search product, has evolved into what it calls an “AI work assistant,” aiming to sit underneath other AI experiences, connecting to internal systems, managing permissions, and delivering intelligence wherever employees work. On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Glean’s CEO and founder Arvind Jain at Web Summit Qatar to break down how enterprises are thinking about AI architecture, what's driving consolidation, and what's real versus hype in the agent space. Listen to the full episode to hear about: The fight between bundled AI from tech titans like Microsoft, Google and platform layers like Glean and its competitors. How AI adoption is reshaping leadership and organizational design. Why permissions and governance are harder problems than most companies realize. 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

30분
2월 4일

What a16z is actually funding (and what it's ignoring) when it comes to AI infra

Andreessen Horowitz just raised a whopping new $15 billion in funding. And a $1.7 billion chunk of that is going to its infrastructure team, the one responsible for some of its biggest, most prominent AI investments including Black Forrest Labs, Cursor, OpenAI, ElevenLabs, Ideogram, Fal and dozens of others. A16z general partner with the infra team Jennifer Li (who oversees such investments as ElevenLabs – just valued at $11 billion); Ideagram and Fal, has a clear thesis on where the team is looking to spend it’s latest chunk of cash. Today on TechCrunch's Equity podcast, Venture and Startups editor Julie Bort talked with Li about where a16z sees this AI super cycle going next, including the talent crunch hitting AI-native startups, why search infrastructure matters more than people think, and what kinds of companies are actually getting funded right now. Listen to the full episode to hear about: Where Li thinks the gaps still are when it comes to startups building an AI stack What makes the most successful AI portfolio companies different How tools like voice AI are rising in importance (yet still a bit uncomfortable to witness) The AI startups she's still searching for and is ready to fund Chapters: 00:00 Intro 01:01 Andreessen Horowitz's $1.7B infrastructure fund 05:00 Crossing the uncanny valley in AI-generated content 07:14 Agents finally becoming real in 2026 09:30 Building your first productivity agent 11:56 Why email agents aren't quite there yet 15:00 Which jobs will agents replace first? 18:05 The most unhinged opinion: Creativity belongs to humans 20:21 The limits of LLMs and the rise of world models 22:13 AI-designed chips are coming 24:00 The truth behind those viral ARR numbers 26:10 Hiring at AI speed: The talent shortage problem 28:47 The pricing mistake that became a big deal 29:21 The future of search for AI agents 30:45 Outro 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

33분
3월 11일

How Poppi went from a Shark Tank pitch to a $1.95B exit

For years, venture capitalists have been skeptical of beverage startups, citing thin margins and brutal distribution as reasons most brands never break out. But a new wave of “functional soda” companies has been challenging that assumption, including Poppi, the prebiotic soda brand that grew from a kitchen experiment into a $1.95 billion acquisition by PepsiCo. On this episode of TechCrunch’s Equity podcast, Rebecca Bellan is joined by Poppi co-founder Allison Ellsworth to talk about building a beverage startup in a venture world dominated by SaaS and AI. From pitching on Shark Tank while nine months pregnant to scaling a digital-first brand during COVID, and now returning as a Shark herself, Ellsworth shares how social media, fast marketing bets, and customer feedback helped turn a niche drink into a category-defining company. Listen to the full episode to hear about: Ellsworth’s Shark Tank return, and how she evaluates founders on the other side of the pitch. How Ellsworth turned a personal health issue into Poppi and built early traction at farmers' markets. Why TikTok and community-driven marketing helped the brand rack up billions of views and loyal fans. The risky decision to buy a last-minute Super Bowl ad, and how the team executed it in days. What it’s like selling a startup to PepsiCo while trying to preserve the brand’s identity. Why beverage startups almost inevitably need acquisition-level distribution to scale. 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

28분
2025. 08. 27.

Mark Cuban’s disruption formula: from streaming and healthcare to AI’s next wave

Steve Jobs once said, “Everything’s a remix.” And that’s a philosophy that Mark Cuban has taken to heart, building an entire entrepreneurial and investment career on that simple belief. The real opportunity, Cuban says, lies in spotting patterns others miss and turning them into billion-dollar disruptions. On today's episode of Equity, Cuban joined Rebecca Bellan to discuss his decades-long strategy of betting on technologies before they go mainstream, from his early investments in local area networks and streaming services to his current healthcare and AI ventures. But Cuban's real insight isn't just about picking winners. It's about understanding why most people building in AI today are missing the point entirely. Cuban delivered a stark warning about the current AI gold rush: while everyone's using ChatGPT, almost no one (including Fortune 500 CEOs) knows how to integrate AI into their actual businesses. His take? Forget the hype. The real money is in helping small- and medium-sized businesses figure out how to use the AI tools that already exist. Listen to the full episode to hear: How Cuban identified disruptive opportunities in LANs, streaming, and HD television before they became obvious. Why he thinks current AI "isn't smart," and why that limitation could be its strength as a business tool. The upcoming regulatory battles that will determine AI's future around IP protection, training data access, and the U.S.-China competition. Inside Cuban's latest venture, Cost Plus Drugs, expanding from transparent pricing to manufacturing. Cuban's prediction that AI-savvy graduates will become the most in-demand employees across every industry. As always, Equity will be back Friday. Don’t miss it! Equity is TechCrunch’s flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on 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

33분
2025. 09. 03.

Karen Hao on the making of a $90B AI empire

Karen Hao, the bestselling author of "Empire of AI," has watched OpenAI go from a nonprofit “laughingstock” into a $90 billion powerhouse chasing artificial general intelligence at breakneck speeds. Hao, who first profiled the company back in 2020, says early visions of building AI “for humanity’s benefit” were quickly overtaken by a familiar Silicon Valley mindset: Move fast, break things, and let scale be the measure of success. This week, Hao joined TechCrunch’s Equity podcast to unpack the direction the AI boom is going and who’s paying the price. Hao argues that, like historical empires, today’s AI giants rely on resource-hoarding and exploitative labor to amass political and economic power, and they’re doing so at the expense of the environment. For investors and founders, it’s a clear signal that AI’s current path carries real risks, and that there’s room to build a better model. Listen to the full episode to hear: How OpenAI's three internal "clans" warred to shape the company's trajectory The hidden human costs of data labeling in developing countries How the "China competition" narrative serves Silicon Valley's interests Where founders might find different opportunities beyond the pursuit of AGI Equity will be back Friday with our weekly news roundup, so stay tuned. Equity is TechCrunch’s flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on 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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Karen Hao on the making of a $90B AI empire