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Why Jensen Huang’s departure could end Nvidia’s gold rush

Nov 13, 2026 32 min

Nvidia just delivered a shocking announcement — that the chipmaker’s co-founder and longtime CEO Jensen Huang is resigning. While there had been earlier reports of U.S. intelligence concerns over Huang’s “close relationship” with a suspected Chinese spy, the situation seemed to deteriorate quickly over the past week, with Huang admitting to an affair, more personal indiscretions coming to light, and Nvidia ultimately announcing his resignation. On the latest episode of TechCrunch’s Equity podcast, Anthony Ha, Rebecca Bellan, and Equity newcomer Tim De Chant discuss what this news will mean for Nvidia and the AI ecosystem. The company appears to have had no succession plan in place, and while chief financial officer Colette Kress is stepping in as interim CEO, it remains to be seen how long she’ll last in the role, and if she’ll match the scale of Huang’s investments in other AI companies. Listen to the full episode to hear us discuss: Whether neo-cloud companies like CoreWeave and Nebius are facing financial reality How much all seven Anthropic founders could be cashing out with the IPO Whether Oura’s acquisition of a healthcare startup can turn things around after a postponed public offering 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

How backlash and red tape continue to slow data centers post-Blue Wave

Nov 11, 2026 33 min

The data center boom is running into serious real-world obstacles, from widespread local opposition and permitting delays to a scramble for electricity. Before those challenges even come into play, though, there's a more basic problem: A lot of the projects being announced may never get built in the first place. With billions of dollars in AI infrastructure investment at stake, separating realistic projects from speculative ones is becoming increasingly important. On this episode of TechCrunch's Equity podcast, hosts Rebecca Bellan and Tim De Chant are joined by Brent Nelson, senior managing director of markets and strategy at Ascend Analytics, to separate the data center projects that are likely to get built from the ones that may never get off the ground. Listen to the full episode to hear about: Why Brent thinks the data center pipeline is wildly inflated, and why only a fraction of the proposed projects will actually get built. What happens to all that AI infrastructure if the bubble bursts, and why the data center developers with the wrong tenants could be in serious trouble. Why Brent thinks Democrats should take their shot at permitting reform now, rather than wait for a more favorable political moment. How energy projects get stuck in a permitting loop, how administrations of both parties have contributed to the problem, and what it would take to get them moving again. Why natural gas isn't necessarily the reliable fallback developers think it is, particularly during extreme winter weather. What a less obvious alternative to gas could look like: pairing battery storage with a grid connection that can be temporarily curtailed during periods of high demand. 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

How a Blue Wave midterm might reshape the AI industry

Nov 6, 2026 33 min

Democrats’ historic victories in this week’s U.S. midterm elections could also transform the tech industry. The public voted on 41 data center-related ballot measures on Tuesday — in all but one, the majority voted to impose more restrictions on data center development. And even when data centers weren’t on the ballot directly, they were a major talking point, with newly-elected Democratic governors and congressmembers likely to support additional regulation. On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha discuss what the election will mean for the tech industry moving forward — not just when it comes to data centers (which OpenAI is already trying to rebrand), but also increased government scrutiny of Big Tech. Listen to the full episode to hear more about: Whether Google first satellite data center is ushering our orbital data center future If major layoffs at design software company Canva and website builder Squarespace can be blamed on AI Marvell’s $115 billion acquisition of Lumentum, in one of the largest deals in history Why CrowdStrike just acquired of two AI security startups What NBCUniversal’s investment in Indian microdrama startup Elo Elo means for the media landscape Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 0:47 Founder Summit recap and an Equity team update 2:23 Midterm results and the data center backlash 7:49 OpenAI rebrands data centers as “compute campuses” 10:57 Wall Street cools on the data center buildout 13:30 Regulatory certainty and building outside the U.S. 15:45 Canva and Squarespace layoffs 20:37 Can AI chatbots replace products like Squarespace? 23:22 Marvell’s $115B Lumentum acquisition 26:51 CrowdStrike buys Fiddler AI and Dreadnode 30:20 Micro drama startup raises $80M 30:59 Outro Learn more about your ad choices. Visit megaphone.fm/adchoic...

Building on open source AI? Hugging Face’s policy chief on the costs, risks, and trade-offs

Nov 4, 2026 37 min

Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up? On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Irene Solaiman, Chief Policy Officer and SVP of Strategy at Hugging Face, about what startups need to know before building on open models, from choosing the right tools and infrastructure to navigating the trade-offs shaping the future of open AI. Listen to the full episode to hear about: Why startups, enterprises, and governments are switching to open AI models to cut costs, and when it makes less sense to use the most powerful models. Who makes money when the models are free to use, and whether the companies building them can capture the value they create. Why the U.S. may need deep-pocketed players like Nvidia to build an open frontier model that can compete with China’s, and what’s at stake if Chinese models become the global default. How recent attacks on open AI platforms are raising a difficult question: how do you keep an open ecosystem secure without closing it off? 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

Anthropic’s S-1 is here. Does AI pay off?

Oct 30, 2026 36 min

After weeks of speculation and leaks, Anthropic finally released the S-1 filing for its IPO, showing revenue of $16.3 billion for the first half of 2026, with a net loss of $80.7 billion. At around the same time, former Yahoo CEO Marissa Mayer sparked a backlash after boasting about using her AI app Dazzle to answer questions about her daughter for a school presentation. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha dig into the long-awaited financial details behind one of the industry’s biggest companies, looking at both the enormous opportunities and the many, many risks. They’re also joined by Amanda Silberling to discuss a more basic question facing the industry: Are AI execs too out-of-touch to build products for normal people? Listen to the full episode to hear more about: What Anthropic’s S-1 reveals about its enterprise strategy Why an Apollo economist said that AI has delivered “zero financial payoff” New funding for Bedrock Robotics, a startup building self-driving excavators Why manufacturing accelerator Re:Build just raised $2.1 billion 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

The 'Vulnpocalypse' is coming for the internet’s aging code, says Wiz’s CTO

Oct 28, 2026 31 min

The PHP scare may have faded from your feed, but the cleanup is far from over. Last week, two critical bugs in the open source language behind roughly 70% of websites left organizations scrambling to fix their systems, with some taking sites offline until the vulnerabilities could be patched. According to researchers who found the bugs, this is only the beginning, as AI changes how quickly novel vulnerabilities can be uncovered and exploited. On this episode of TechCrunch’s Equity podcast, Rebecca Bellan talks with Tomer Schwartz, CTO of Exposure Management & AppSec at Google-owned Wiz, who was part of the scramble --- alongside OpenAI, research group Calif, and the PHP team --- to fix the bugs. On the show, Schwartz and Bellan get into what the race looked like from the inside, how early-stage startups can build with security in mind, and why patching by hand won’t scale. Listen to the full episode to hear more about: Why Tomer says Wiz couldn’t have found these bugs without AI, and how custom tooling tested dozens of ideas over a weekend. How a bug was able to sit in plain sight for more than a decade, and what changed to make it exploitable. Why leaks are almost baked into coordinated disclosure, and how Wiz planned for it. Who’s still unpatched and whether small business owners running WordPress sites need to worry. 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

The PHP Armageddon reminds us that the internet is held together by glue and dreams

Oct 23, 2026 35 min

The internet is having an off week, to say the least. Security researchers at OpenAI and Google-owned Wiz used AI to uncover critical flaws in PHP, the open source language behind roughly 70% of websites, including those built on WordPress, WooCommerce, and Magento. The holes date back more than a decade, and now that a fix is out, companies are scrambling to patch their systems as attackers try to exploit the them. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha dig into why AI-powered bug hunting could make this the first of many internet-wide scares, what Elon Musk’s careful choreography says about where a Tesla-SpaceX merger is headed, and more of the week’s headlines. Listen to the full episode to hear more about: Elon Musk’s pledge to give every kid in America a SpaceX share, announced just hours after Anthropic unveiled its public benefit fund Character.AI’s bankruptcy, Disney’s deal to hire most of its staff, and Anthony’s case for rethinking what “acquihire” means OpenAI’s acquisition of Orchestra Bio and what it says about the company’s “no side quests” strategy Otter’s surprise $320 million raise from General Catalyst’s growth fund Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 0:00 – Intro: PHP security crisis, Tesla and SpaceX, and Otter.ai's $320M raise 0:55 – TechCrunch Disrupt recap and the Elizabeth Holmes documentary 2:50 – Critical PHP vulnerabilities threaten millions of websites 8:01 – AI's role in discovering and exploiting cybersecurity flaws 13:09 – The future of AI-powered cybersecurity 17:07 – Are Tesla and SpaceX finally merging? 19:10 – Elon Musk's influence over both companies' boards 22:50 – Why a Tesla-SpaceX merger could make financial sense 25:27 – Musk's plan to give American children SpaceX shares 27:08 – Character.AI's bankruptcy and Disney's...

Meta and Instinct are racing to build your AI assistant. Wabi has a different idea.

Oct 21, 2026 30 min

It seems like every big AI player is building a personal agent. Meta has Muse, OpenAI launched Dots, and a startup called Instinct recently raised $1 billion at a $10 billion valuation. But Eugenia Kuyda thinks the next generation of AI assistants needs to do more than book your restaurant reservations and find you hidden money in your Gmail. Kuyda, who founded AI companion app Replika, has just launched Wabi, a personal AI agent that organizes your life into separate conversations, brings other people into the mix, and builds custom apps around what you're trying to do. The idea is to make AI less of a solo productivity tool and more of a way to spend time with the people who matter to you. On this episode of TechCrunch's Equity podcast, Rebecca Bellan talks with Kuyda about why she thinks AI agents should bring people together instead of keeping them glued to a single chatbot, how Wabi plans to compete in a crowded and expensive market, and what it takes to get people comfortable giving an AI access to their email. Listen to the full episode to hear more about: Why Kuyda thinks single-threaded AI chats get worse as you use them, and how separate threads improve the user experience. How Wabi is approaching compute costs and monetization while its app is free. Whether phones will remain the primary way people access AI, even as operating systems become more AI-first. What Kuyda looks for when deciding whether an AI startup deserves users' trust. 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

Physical AI is more than robots, says the Nvidia veteran now investing in it

Oct 16, 2026 30 min

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is currently in its “Lego era,” with the basic building blocks like actuators, robotic hands, software, and safety standards still being rebuilt. This view runs counter to those who believe that robotics, powered by a general foundation model, is about to have its “ChatGPT moment” — that day when the shockingly capable chatbot was launched in late 2022. (General Intuition CEO Pim de Witte told Equity earlier this year that a single general foundation model would make much of today’s specialized robotics work redundant, and be that moment.) On this episode of TechCrunch’s Equity podcast, Dominic-Madori Davis caught up with Vishwanath to discuss where she’s writing first checks as the founder and managing partner of Techable VC. They also talked about what she’s learned as one of the first women executives to spin out of Nvidia and launch her own early-stage firm investing in physical AI across robotics, materials science, and life sciences. Listen to the full episode to hear more about: Why Vishwanath defines physical AI as more than robots: “a molecule, a material, a medicine,” or a machine on a factory line. What she means by “conscious automation.” Why the best opportunities solve big problems like family-run factories that can't find workers to surgeons facing burnout. Why she wants founders to see their VC as their moat, and how years at NVIDIA built the network she now uses for due diligence and customer introductions. Where she thinks the U.S. and China each have the edge, and why humanoids should be good for more than dancing. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:03 Amulya’s path from Intel to Nvidia, and why she left 04:39 What physical AI meant in 2018 vs. now 06:12 Beyond dancing...

Who’s the sheriff in AI’s wild west? (Equity Live at TechCrunch Disrupt 2026)

Oct 14, 2026 29 min

The Equity crew was live at TechCrunch Disrupt 2026! Kirsten Korosec, Anthony Ha, and Sean O’Kane took over the Builders Stage Tuesday morning to tackle a growing challenge for the AI industry: what happens when AI agents go off-script, and who’s responsible for keeping them in check? Recent incidents, from Anthropic pulling internal evaluations off the live internet after agents misbehaved to Microsoft CEO Satya Nadella calling for an “emergency brake” on AI models, have brought agent security into focus. The Equity team unpacked whether the problem calls for better engineering, new regulation, or both, and why startups are raising millions to secure AI agents. Listen to the full episode to hear more about: The Anthropic agent mishaps, including a false police report that went nowhere after landing in a spam folder Nadella’s call for an AI emergency brake, and why the hosts wonder what took so long The funding race to secure AI agents, from AIR’s $50 million raise to Reco’s $55 million and Oak’s $60 million for agent identity, plus Sequoia-backed Cymphony Why independent verification and certification could be key to building trust, and whether Big Tech will buy its way out of the problem Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You can also follow Equity on X and Threads. Chapters: 00:00 Intro and what we’re excited for at Disrupt 01:34 Durability, security, and Anthropic’s rogue agents 04:41 Nadella’s “emergency brake” post 06:33 NVIDIA’s OpenShell and the engineering-vs-regulation debate 10:04 The agent security startup boom: AIR, Reco, Cymphony 13:38 When agents go rogue in real life 15:55 Certifications and standards 19:33 HiddenLayer and the jump to production 20:40 Will Big Tech just acquire these startups? 22:52 Consumer trust and agent adoption 25:05 Predictions: acquisitions vs. independent verifiers 27:26 What’s coming up at Disrupt 29:02 Outro Learn more about...

Amazon drops data center NDAs, and AI agents want your credit card

Oct 9, 2026 37 min

Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled community backlash against AI infrastructure, with opposition leading to hundreds of proposed and enacted moratoriums from New York to San Francisco. Meanwhile, a wave of startups is betting that consumers will hand AI agents access to their inboxes, files, and credit cards — if they can get websites to let them in. On this episode of TechCrunch’s Equity podcast, Anthony Ha, Sean O’Kane, and Rebecca Bellan dig into whether ditching NDAs will change how data center deals get done, why trust may be the real product for personal AI startups, plus a couple of deals of the week. Listen to the full episode to hear more about: The White House’s plans to make plans with its new Super Intelligence Force Ghost’s $3,499 computer built to run AI agents around the clock, and why the Equity crew doesn’t see it going mass market Tab, Underdog, and Hark pitching privacy as their product, plus the business model that could turn your agent into a salesperson United, Apple, and Amazon putting up walls against outside agents Lambda’s reported $4 billion raise, and the single customer behind $35 billion of its backlog Uber’s $2.3 billion all-cash deal to get into the office catering space with ezCater We’ll see you next week at TechCrunch Disrupt 2026! Get 25% off your tickets with code Equity25, and we’ll see you on the Builders Stage Tuesday at 9 am. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 0:55 Trump’s “superintelligence force” and the great AI rebranding 3:19 Amazon drops NDAs on data center deals 9:17 Why the AI industry has a communication problem 12:51 Personal AI agents: finding money in your inbox 15:27 Ghost’s $3,500 computer built for personal...

After selling to P&G and Lululemon, these founders are building for life beyond the screen

Oct 7, 2026 27 min

Tristan Walker and Brynn Putnam both built and sold major consumer companies. Now, they’re building products designed to bring people together. Today on Equity, we’re bringing you a conversation TechCrunch AI editor Russell Brandom had on stage at the latest StrictlyVC event in New York. Russell sat down with Walker, who sold Bevel maker Walker & Company to Procter & Gamble and is now building leathercraft trade school Heirloom, and Putnam, who sold fitness startup Mirror to Lululemon and is now CEO of Board, a touchscreen console that combines board games and video games. The two repeat founders talk about what they learned from their first companies, why they’re focused on physical skills and shared experiences now, and how AI could make hands-on, human connection more valuable rather than less. Walker explains why he sees growing demand for mastery and trade skills, while Putnam talks about using technology to bring people together instead of pulling them into individual screens. 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

Call it AI, call it Super Intelligence, only 2% of consumers are buying it

Oct 2, 2026 38 min

This week, the White House got nearly every major tech CEO in one room — Zuckerberg, Bezos, Musk, and Anthropic’s Dario Amodei among them — to sign an AI safety pledge that President Donald Trump called “morally binding.” Trump also signed an executive order officially rebranding AI as “super intelligence,” and meanwhile, Meta and OpenAI are putting friendlier faces on their AI products, even as the biggest money in AI still appears to be coming from the enterprise. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into this week’s AI moves, the ugly economics of consumer AI, plus the shifting IPO market and a handful of startup deals. Listen to the full episode to hear more about: What Oura pulling its IPO, plus Anthropic’s leaked S-1 and OpenAI going back to private funding, says about how picky public markets have gotten Quartermaster’s $140M raise to bring real-time sensors to an industry that AI basically hasn’t touched yet: maritime shipping Why Atomic, a supply-chain startup from ex-Tesla vets, is already running 90% of DoorDash’s purchasing How Startup Battlefield finalist Charter Space raised $5M to bring insurance to satellites Speaking of Startup Battlefield, join us at TechCrunch Disrupt 2026, where Equity will kick things off with a live show on the Builders Stage at 9 a.m. Get 25% off your tickets with code Equity25. 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

A Neko Health investor on the $700M bet to scan your whole body

Sep 30, 2026 32 min

Spotify founder Daniel Ek’s Neko Health raised $700 million to build a business around scanning your body, but it’s not the only company centering its roadmap around a new kind of preventative healthcare. Midjourney is building its own body scanner, while Function Health has also raised significant capital to build out its preventative-health platform. Why are investors betting so big on this category? On this episode of TechCrunch's Equity podcast, Dominic-Madori Davis talks with Farooq Abbasi, founder and general partner of Preface Ventures and an investor in Neko Health, about how Neko compares with other consumer-health startups. They discuss what has to happen for body scanning to become part of the broader healthcare system. Listen to the full episode to hear more about: Why Farooq invested in Neko after trying the company's scan himself What Neko's $500 scan actually includes, and how the company keeps the price down Why Farooq thinks low primary-care utilization is one of the biggest problems in U.S. healthcare Why some consumer-health startups may be overfunded, in Farooq's view How better health data could open the door to a new generation of AI-powered healthcare Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 — Can Tech Reinvent Preventative Healthcare?01:44 — Why Spotify’s Founder Built Neko Health06:22 — Why Healthcare Is So Hard to Fix08:23 — Inside a $500 Neko Health Scan12:35 — Can Preventative Healthcare Scale?14:20 — The Risks of VC-Backed Healthcare17:28 — How AI Is Changing Medicine22:55 — Is AI in Healthcare Worth the Risk? Learn more about your ad choices. Visit megaphone.fm/adchoices

Meta’s Muse just stole the spotlight from OpenAI and Anthropic

Sep 25, 2026 35 min

When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe someone should have asked: what pace? It’s turned into model drop week for both companies as Anthropic rolled out Opus 5.5, followed by OpenAI’s GPT-6 model updates just 90 minutes later. But the company that stole the spotlight this week was Meta, whose personal AI agent Muse is reportedly outpacing ChatGPT’s early numbers and is headed for smart glasses and a tiny Tamagotchi-style device next. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into Meta’s consumer AI strategy and what it means for the startups trying to build on top of this technology, from where the money is flowing to which AI products might actually become part of people's daily lives. They also get into a16z's new school for aspiring founders and two very different AI and hardware deals. Listen to the full episode to hear more about: How a16z's Horowitz Andreessen Academy plans to pave a new path for aspiring founders, and why the Equity crew sees echoes of the Thiel Fellowship and Silicon Valley's long-running anti-college streak Why Oura's $2.2 billion IPO looks more like a payday for existing shareholders than a major fundraising event for the company Ema’s $77 million raise to sell teams of AI agents that automate HR, IT, and finance workflows, with Google and Microsoft among its early enterprise customers 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

What’s next for cybersecurity, according to Index Ventures’ Shardul Shah

Sep 23, 2026 33 min

As concern over AI safety and rogue agents continue to make headlines, it’s no surprise that cybersecurity stocks are rising, or that investors are pouring massive amounts of capital into startups trying to build the next generation of security for an AI-native world. We’re even seeing companies like Instinct and Simile bring in nine-figure checks and valuations that wouldn't have made sense a few years ago. With a front row seat to it all is Shardul Shah, a partner at Index Ventures who’s spent nearly two decades investing in cybersecurity and enterprise software — including six consecutive rounds in cloud security startup Wiz, which Google acquired for $32 billion earlier this year in one of its largest acquisitions ever. On this episode of TechCrunch's Equity podcast, Shah joins Rebecca Bellan to break down why he thinks periodic, human-in-the-loop security can’t keep up anymore, and why Index continues investing in AI-native security companies at stages that once required much more proof. Listen to the full episode to hear more about: Why Shah thinks cyber insurance should be most companies’ first move in managing AI-era risk What happens when a single attacker can deploy a 10,000-agent ransomware swarm, and why that could force cybersecurity to become more machine-to-machine How Wiz’s founders paved the way for a new generation of startups, including Frame and Enigma Shah’s take on “pacing the frontier,” and why he thinks even a slowdown in model capability wouldn’t cool off cybersecurity investment 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 02:02 Why AI is creating a new cybersecurity category 05:16 The cyber insurance layer most companies overlook 09:15 Why Index is betting on AI-native security platforms 12:40 Will Wiz become a talent factory for new startups? 14:46 What actually makes a founde...

Automattic's 33-Hour coup, and can AI labs police themselves?

Sep 18, 2026 35 min

A week after an Anthropic researcher's doomsday warning rattled the AI world, the company's CEO Dario Amodei has outlined his plan to “pace the frontier” of AI development. The proposal leans on independent safety evaluators and coordination between AI labs in democratic countries, and it's already picked up some industry support, along with some pointed pushback from Nvidia's Jensen Huang. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into whether companies can agree on what slowing down means and who gets to police it. Plus, WordPress parent Automattic's boardroom coup, and a couple of the week's biggest deals. Listen to the full episode to hear more about: The golden parachute deals struck during Matt Mullenweg's 33-hour ouster from Automattic, and why the drama could give him even more control over technology that powers much of the web Whether May Mobility's SPAC can deliver more than $300 million in potential funding, and why becoming a “public robotaxi company” comes with some big caveats DoorDash's $425 million investment in Wonder and the race to automate food from order to delivery Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. 00:00 Intro 1:00 Dario Amodei's plan to "pace the frontier" 5:03 Jensen Huang pushes back 9:08 Can market forces alone keep AI safe? 12:30 Third-party evaluators: how would they actually work? 15:27 Automattic's board tries to oust Matt Mullenweg 19:31 Comparing it to OpenAI's "the blip" 22:54 What's at stake in who controls WordPress 24:04 May Mobility's SPAC deal 28:42 Are SPACs back? 29:34 DoorDash invests $425M in Wonder 33:45 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

Why Thrive, Founders Fund, and Antonio Gracias are betting on hearing aids

Sep 16, 2026 27 min

“Why do I have to beg my grandparents to put on their hearing aids, but no one has ever needed to ask me to put on my glasses?” That’s the question that drove Matthew de Jonge to spend six years building Fortell, an AI hearing aid startup that recently raised $163 million from the likes of Founders Fund, Thrive Capital, and Valor Equity Partners CEO Antonio Gracias. The buzzy startup aims to build hearing aids that understand the sounds around you in real time, figure out what’s important and turn down the rest — instead of turning everything up at the same time, as most hearing aids do. On this episode of TechCrunch's Equity Equity podcast, Rebecca Bellan is joined by de Jonge to break down what it takes to disrupt a decades-old industry where five companies make 97% of the products, insurance won’t cover the cost, and innovation has been slow to arrive. Listen to the full episode to hear more about: How de Jonge went from mechanical engineering and a hedge fund career to building handheld ultrasound machines at Butterfly Network, and why that experience gave him the confidence to take on hearing aids next. The AI architecture behind Fortell's approach, including a custom chip built by a former Google TPU designer. Why the five companies that dominate the hearing aid industry have been so slow to innovate, and how that shaped Fortell's pitch to investors. De Jonge's take on Apple's AirPods as both a hearing aid alternative and an at-home hearing test, and why he sees them as complementary rather than a threat. The regulatory hurdles around remote hearing aid fittings, and how state-level telemedicine laws are shaping Fortell's path 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. Chapters: 00:00 Intro 1:14 Why Matt built Fortell 5:16 The problem with hearing aids: everything's just... loud 7:36 How Fortell's AI separ...

An ex-Anthropic researcher’s doomsday warning comes at a very interesting time

Sep 11, 2026 39 min

An Anthropic researcher resigned this week, warning in a post on X that the company is “racing straight to self-improving superintelligence and gambling with our lives”. The company's own alignment lead even co-signed the message rather than walking it back. It's the kind of doomer warning the AI industry has flirted with before, but the timing, with Anthropic reportedly preparing for an IPO, makes it land differently. On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the latest AI safety warning and what it says about the industry's race toward increasingly capable models. Plus, Apple's first big event under new CEO John Ternus and more of the week's headlines. Listen to the full episode to hear more about: Why Apple leaned hard into AI at its hardware event, and how always-on features baked into the Watch and AirPods may matter more than the splashy new foldable iPhone How Stokes Space's $1 billion raise reflects a launch market that's suddenly wide open now that SpaceX is winding down its Falcon rockets Why investors poured $2 billion into coding startup Cognition at a $48 billion valuation, and what it says about how much room VCs think is left in AI coding What a $50 million seed round for floating nuclear reactors says about the scramble to power AI data centers 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 3:28 Anthropic researcher's resignation warning 9:33 What's actually being done about AI risk? 15:56 Apple's AI-first hardware event 19:56 The case against a standalone AI wearable 21:53 Always-on listening: watch, AirPods, and privacy tradeoffs 26:43 The foldable iPhone's odds 27:16 Stoke Space raises $1B for a reusable rocket 31:17 Cognition raises $2B, betting on room for more AI coding players 34:13 BlueCore Energy's floating nuc...

ControlAI's Connor Leahy on why superintelligence is ‘not a weapon, it's an adversary’

Sep 9, 2026 43 min

AI companies have been talking about superintelligent AI like it's inevitable, but recent safety incidents like OpenAI's Hugging Face breach are demonstrating the potential dangers of deploying AI systems that are more capable than humans. So what happens when we can't reliably control what these systems do? On this episode of TechCrunch's Equity podcast, Rebecca Bellan is joined by Connor Leahy, an AI researcher, entrepreneur, and now the U.S. Executive Director of nonprofit ControlAI, which is pushing for a far more radical approach to AI safety: stopping companies from developing superintelligence altogether. Leahy explains why he thinks the risks have become too great to manage through alignment and containment alone, and how what sounded far-fetched six months ago is now being backed by a wave of new legislation. Listen to the full episode to hear more about: His take on the Sanders-Casar “Ban Superintelligence Act,” the parallel legislation in the U.K. that Control AI advised on, and why he thinks the U.S. bill may go further than necessary. How he views frontier AI labs less as companies simply chasing returns and more as political actors, and what that means for the trillions of dollars being poured into data center buildouts. Why Leahy thinks the real point of no return is when AI can build better AI, creating a potentially runaway cycle of self-improvement The case for international “trust but verify” agreements, and why Leahy thinks it isn't actually in China's interest to build superintelligence. 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

Apple's Ternus era begins as Nvidia bets on the whole AI stack

Sep 4, 2026 38 min

It's officially the Ternus era at Apple. Tim Cook stepped down as CEO this week, handing the company to former hardware chief John Ternus, whose first memo promised a “huge launch next week” — timing that puts Apple's next iPhone event on his desk before he's even settled in. Cook isn't going far, though: he's staying on as executive chairman, focused on the kind of policy relationships that recently turned something as small as a map label into a very public balancing act. All of which raises an obvious question: what does the Ternus era look like, and how much rope will shareholders give him to figure it out? On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec and Sean O'Kane unpack what Ternus is walking into, why he may actually be better positioned to make progress on software than hardware in this new AI era, and more of the week's news. Listen to the full episode to hear more about: Why Nvidia keeps making moves that look less like a chipmaker and more like a company trying to own the entire AI stack, from its Hugging Face acquisition to its investment in MediaTek and deeper compute deals A chaotic week for robotaxis: Tesla's Cybercab event, Waymo's expansion into new cities, Zoox's first paid rides, and what happens when these companies start competing head-to-head What Andreessen Horowitz's new $1.1 billion “Machine Age” fund signals about where early-stage AI hardware bets are headed Why the $285 million acquisition of GoPro marks the end of an era for one of Silicon Valley's original consumer tech darlings 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 1:12 Tim Cook steps down & John Ternus takes over as CEO 13:33 Nvidia's spreading its AI bets 21:58 A big week for robotaxis: Tesla, Waymo, Zoox & Uber 29:09 a16z's $1.1B "machine age" fund and $8.5B growth fund 32:39 GoPro's $285M acquisi...

We're ‘dangerously close’ to dead internet theory according to Pangram's CEO

Sep 2, 2026 25 min

The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real. A handful of startups have cropped up in the past couple of years to become the “trust layer” the internet needs — including Pangram. The startup recently snapped up $9 million for its AI detection system and landed a partnership with Substack, which is now using Pangram’s tech to show readers which of their favorite authors use AI to write their newsletters. Pangram also recently dropped a new AI image detection tool. On this episode of TechCrunch's Equity podcast, Pangram co-founder and CEO Max Spero joins Rebecca Bellan to dig into the promise of AI detection tools and where to draw the line between AI assisted and AI generated. Listen to the full episode to hear more about: Why Spero thinks the internet could be “dangerously close” to the dead internet theory becoming reality within a few years. Why figuring out how much AI went into something is harder — and potentially more useful — than simply labeling it AI or human. The stakes of getting AI detection wrong, especially when false positives involve sensitive images. Why Spero thinks the “bottom tier” of writing jobs may be gone for good, while genuinely good human writing could become more valuable. 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 1:15 Building Pangram: from binary detector to gauging AI assistance 2:06 Why job applications, reviews, and Amazon are drowning in slop 5:39 How Pangram actually spots AI writing 9:26 Where people draw the line on AI-assisted vs. AI-generated 12:50 The false positive problem, and "America has a Pangram problem" 14:30...

Will TikTok and YouTube follow Meta’s new rules for teens?

Aug 28, 2026 33 min

Earlier this week, Meta agreed to pay $18 billion and make sweeping changes to how minors access its social networks to settle a lawsuit brought by 29 states. But the eye-popping settlement figure wasn't what caught the attention of the Equity podcast team. Instead, it was what Meta did next. The social media giant sent an open letter to TikTok and YouTube asking the companies to join it in setting industry-wide standards for teens, including daily time limits, blocking access to apps at night, and restricting notifications during school hours. But will these other companies follow? The Equity team doesn't think they will. On this episode of TechCrunch's Equity podcast, Rebecca Bellan, Kirsten Korosec, and Sean O'Kane dig into the Meta settlement, what it could mean for other social media companies, and more of the week’s headlines. Listen to the full episode to hear more about: How investors are pouring money into robotics startups and driving up valuations. For instance, Generalist reached a $3 billion valuation, while General Intuition hit the $6 billion mark. Even though robotics is a hot sector, there is pain point: robots still lack the know-how to do value-creating work. What senior reporter Sean O'Kane discovered when he dug into OSHA data connected to robotaxi companies like Waymo and Zoox. What self-driving truck startup Gatik's $200 million raise means for the sector. Hugging Face is reportedly being acquired by Nvidia. The team weighs in what this means for the industry. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and wherever you get your podcasts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

From the Spotify Mafia to the Lovable Mafia: inside Stockholm's founder network

Aug 26, 2026 31 min

Vibe-coding darling Lovable just raised $400 million at a $13.3 billion valuation, roughly doubling its worth in eight months. But Lovable isn’t the only Stockholm startup putting up huge numbers lately — legal AI company Legora and health tech startup Neko Health are right there with it. On this episode of TechCrunch's Equity podcast, Dominic-Madori Davis is joined by Sophia Bendz, a partner at Cherry Ventures and longtime fixture of Europe’s startup scene, to unpack what’s driving startup growth in the Nordic ecosystem, from Sweden’s social safety net to the wave of U.S. capital flowing in. Listen to the full episode to hear more about: How the “Spotify Mafia” set the template for founders funneling their time, capital, and hard-won lessons back into Stockholm ecosystem, and how the same cycle may be starting again with the “Lovable Mafia” Why Sweden’s social safety net might be fueling founders’ willingness to take bigger swings Why Bendz is seeing American investors flying into Stockholm and handing out term sheets with little to no diligence, and the culture clash that’s creating with local funds How Europe’s sovereignty conversation is shaping how founders and investors think about building, even as most of them still plan to IPO in New York 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 0:50 Why Stockholm’s startup ecosystem is accelerating 2:34 How Stockholm’s “Spotify mafia” passes knowledge down 4:10 Founders House and building a culture of mentorship 5:50 Does Sweden’s social safety net make founders more ambitious? 10:00 Is there a “Lovable mafia” now? 10:00 Europe’s push for tech sovereignty 14:00 The U.S. venture capital flooding Stockholm 18:08 How Europe can build more growth-stage funds 19:45 Founders are asking VCs, “How can you help me?” 21:05 Stockholm’s tech conferences 25:51 Could ro...

The DOJ is investigating a16z. What does this mean for venture capital?

Aug 21, 2026 40 min

Andreessen Horowitz has two partners sitting on the boards of companies that now compete with each other: Ben Horowitz at Databricks and Martin Casado at Fivetran. Nothing too scandalous on the surface, except the Department of Justice has reportedly been investigating the arrangement for almost a year, dusting off a 112-year-old antitrust law that's rarely used against VCs. Board conflicts aren't exactly new, and these companies weren't necessarily direct competitors when a16z first invested in them. But as portfolio companies expand into each other's markets, the DOJ's scrutiny raises a much bigger question for venture firms: How do you manage board seats when the boundaries between your portfolio companies keep moving? On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the a16z probe, what it could mean for VCs, and more of the week’s headlines. Listen to the full episode to hear more about: Why Stripe paid $7.5 billion for AI model router OpenRouter, and why the “singularity” isn't the real reason What happens to the AI companies caught in the middle as OpenAI, Anthropic, and Nvidia pull further ahead Why Rivian spinout Also just raised $150 million to make a bigger bet on autonomous vehicles Uber’s newest delivery partnership with drone company Zipline, and what it means for the other autonomous startups betting their futures on Uber Whether we've reached peak valuation for AI dictation apps after Wispr's $280 million raise at a $2 billion valuation 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 1:02 TechCrunch Disrupt and the Startup Battlefield 200 3:17 The DOJ is investigating a16z over board seats 14:47 Why Stripe just paid $7.5B for “the Stripe for AI” 18:18 The mid-tier AI scramble: gateways, pivots, and acquihires 23:17 Anthropic's revenue surge...

AI has a GPU pricing problem. Silicon Data wants to fix it.

Aug 19, 2026 32 min

The AI buildout shows no signs of slowing. And with hundreds of billions of dollars a year going into data centers and GPUs, compute has become the single biggest cost for anyone building AI products. But for all that spending, there still isn’t a straightforward way to put a price on compute — or for firms to hedge their exposure when the price changes. Silicon Data just closed a $30 million Series A to change that. The startup aims to become the reference price for GPU rental and an index that a Wall Street futures contract would settle against. The company plans to launch its compute futures trading on the CME October 5th, pending regulatory approval. On this episode of TechCrunch's Equity podcast, Rebecca Bellan is joined by Steve Hou, head of research at Silicon Data, to discuss the health of the AI buildout, and why the data is telling a different story than the doom and gloom headlines about depreciating chips and stalled data centers. Listen to the full episode to hear more about: What happens if OpenAI or Anthropic can’t make good on the massive compute commitments they’ve already promised, and whether “compute default” becomes a risk. Why rental demand for older A100 chips is holding up, even as newer and more powerful GPUs hit the market. If compute futures could make it easier for neo-clouds to finance expensive data centers by locking in future rental revenue. What rising GPU rental rates across every contract length since March say about AI demand. 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 0:59 Futures contracts explained 4:01 Can GPU compute actually be a commodity? 7:10 Who's really trading these: hyperscalers, AI labs, and market makers 14:32 Locking in prices to make data center debt easier to swallow 18:21 Inside the pricing data 20:25 The A100 mystery: why an old chip is still in hig...

Meta's “open” AI, data centers' hidden costs, and a $250M deal gone very wrong

Aug 14, 2026 34 min

Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release landed alongside a letter from Mark Zuckerberg arguing AI should be “for everyone” rather than controlled by a handful of labs, but as Equity’s hosts point out, the vision comes with some asterisks. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Rebecca Bellan take a look at Glimmer, Zuckerberg’s 6,500-word manifesto, and more of the week’s headlines, from the true cost of the AI industry’s energy needs to a $250M acquisition gone very wrong. Listen to the full episode to hear more about: Who’s on the market for a $300 cocktail robot? Why Anthropic is adding watermarks to its generated text, and users are not happy. The potential cost Amazon’s planned data center in Texas and the startups racing to fix the grid, including Form Energy’s $750M raise for 100-hour batteries, Reservoir’s $8M bet on smarter water heaters, and Discovered Materials’ hunt for cooler chips. Why Joby Aviation’s $500M acquisition of a defense contractor reminds Kirsten of its Blade deal last year — and what the 2028 LA Olympics have to do with it. How a $250M deal between video-clipping startup VideoVerse and sports publisher Minute Media collapsed amidst allegedly forged documents, multiple lawsuits, and a CEO nobody can reach. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. 00:00 Intro 1:20 Would you buy a $300 cocktail robot? 3:08 Meta's Glimmer and the “AI for everyone” pitch 8:03 Anthropic starts watermarking its writing, and users have thoughts 14:34 Amazon's data center and its natural gas problem 16:37 The startups racing to keep the grid from melting down: Form Energy, Reservoir, and Discovered Ma...

Why Sandbar thinks it’s voice-enabled ring can avoid the AI hardware graveyard

Aug 12, 2026 30 min

AI notetaking hardware has taken off over the past couple of years, with credit-card-sized devices, pendants, pins, and even transcribing earbuds all promising to capture your meetings and turn them into summaries and action items. Now, a whole wave of wearables — rings especially — are betting people want to capture stray thoughts and ideas the same way. One of the companies chasing that bet is Sandbar, the startup behind the private voice ring Stream, which has raised $36 million to date, including a $23 million Series A led by Adjacent and Kindred Ventures. On this episode of TechCrunch's Equity podcast, Rebecca Bellan talks with Sandbar co-founder and CEO Mina Fahmi about why he thinks so many voice hardware devices before Stream struggled to break through, and why he's betting that keeping the human firmly in control is what it'll take to get wearable tech right. Listen to the full episode to hear more about: Why Fahmi designed Stream to be push-to-talk instead of always-on, and what he thinks “social acceptability” means for wearable AI. How Fahmi's time at CTRL-labs, the neural interface startup Meta acquired in 2019, shaped his thinking on human-driven input. Why Sandbar chose the “gruelingly painful” path of building fully custom hardware instead of reskinning an off-the-shelf device. What Fahmi thinks it'll take for voice wearables to break out of tech-enthusiast circles and into the mainstream. 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

Jill Lepore on the ‘Artificial State,’ and why Silicon Valley's leaders are bad sci-fi readers

Aug 7, 2026 28 min

Historian Jill Lepore has a theory about why tech companies often use soaring language to describe their products — almost as if they're forming a new government. And whether you're thinking of Twitter's old “town hall in your pocket” or Anthropic's Claude constitution, it's a theory that doesn't paint Silicon Valley in a very flattering light. In Lepore's upcoming book, The Rise and Fall of the Artificial State, the Pulitzer Prize-winning Harvard historian and New Yorker writer argues that tech companies are gradually taking on the functions of democratic government — whether that’s Twitter giving a distorted picture of the electorate or Facebook displacing local news. In her view, these leaders often mistake technological advancement for political progress, all while outright declaring their intention to replace the nation-state. On this episode of TechCrunch's Equity podcast, Anthony Ha talks with Lepore about her book and why she thinks today's AI leaders — who promise a future where AI makes government more efficient, more responsive, and maybe even unnecessary — are selling an old fantasy in new packaging. Listen to the full episode to hear more about: Why Lepore sees a straight line from the classic 1984 Macintosh ad to Anthropic's AI constitution and Sam Altman's comments about an “AI president” How E.M. Forster’s 1909 sci-fi story “The Machine Stops” provides a blueprint for the artificial state, and why Lepore says it now reads like “the diary of a very unhappy YouTuber” Why Lepore believes the artificial state is ultimately unsustainable, and what she thinks it would take to rein it in 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 0:49 Defining the “artificial state” 2:17 Why corporations quietly took over state functions 4:43 Could the internet have gone another way? 9:01 From the 1984 Macintosh a...

Why Lightspeed is going all-in on creator-led venture capital

Aug 5, 2026 31 min

Venture firms are turning to creators to build trust with the next generation of founders before a check is ever written. It's a trend that's been building with a16z's acquisition of Erik Torenberg’s Turpentine podcast and OpenAI's acquisition of TBPN. Lightspeed Venture Partners just made its own notable hire in that vein, bringing on Claire Zau, a seed investor with a major following on Instagram and TikTok, to source deals and co-host the firm's new show, Lightwork, alongside CMO Josh Machiz. On this episode of TechCrunch's Equity podcast, Dominic-Madori Davis is joined by Zau and Machiz to dive deep into whether the “creator-investor” is becoming a real function in venture or just something firms are still trying to figure out. Listen to the full episode to hear more about: How an Instagram DM turned into a hire, and why Machiz says Zau’s investing instincts (not just her follower count) made her stand out from other creators. Why Zau thinks tech Twitter is a “minuscule” slice of the tech-curious audience, and what she's learned about public sentiment on AI that doesn't show up on X. How Lightspeed measures ROI on a media operation that's hard to tie directly to deal flow. The founder and portfolio-company stories that came out of Zau's content, including how a single video helped land a health-tech founder a meeting with Shaq. 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

AI labs want to pump the brakes, but Amazon and SpaceX are still blasting off

Jul 31, 2026 36 min

After years of pushing full speed ahead on AI, Sam Altman says maybe it’s time for the AI industry to “pace” itself. The comments come just days after one of OpenAI's own models broke out of its test environment and got tangled up in a breach at Hugging Face, though as Equity’s hosts point out, sloppy security seems to have been just as much to blame as the model itself. Altman's not alone in this stance: both OpenAI and Anthropic have come out in support of a petition echoing that same message. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into whether the industry is ready to pump the brakes or just spooked, and who's on the hook when a model goes rogue. Listen to the full episode to hear more about: The viral “Avoiding AI” workshops hosted by librarians to help people opt out of AI features they didn't ask for How Amazon's new 5,000-satellite bid to connect directly to your phone could turn up the heat on SpaceX (even though it's unclear if anyone actually wants satellite-to-phone service) Why somehow there's room for one more AI lab: Reid Hoffman and Mark Pincus's new startup, Prentis, is in talks to raise $100M at a $1B valuation How Pangram raised $9 million to help publishers, teachers, and readers tell human writing from AI slop Why DoorDash is building its own drone delivery business instead of just relying on partners like Wing and Flytrex 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 1:18 Zoox gets its robotaxi exemption 2:11 Sam Altman calls for pacing the frontier 6:01 The Hugging Face hack, dissected 10:12 Responsibility, regulation, and the Elon Musk wildcard 13:29 Librarians teaching people to unplug from AI 15:16 Prentice: a new AI lab raises at a $1B valuation 16:46 Amazon files for its own satellite-to-phone network 18:42 SpaceX, Bl...

‘If this isn't addiction, I don't know what is’: Light Phone's founders get real about screen time and building for the anti-smartphone generation

Jul 29, 2026 31 min

With the Light Phone, Kaiwei Tang and Joe Hollier have spent over a decade exploring the value of simplicity in our relationship to technology, partnering along the way with players like Andrew Yang, Kendrick Lamar, and Pete Davidson. Now, with a new flip phone and a growing wave of “attention activists” pushing back on big tech, they think the rest of the world is finally catching up to them. On this episode of TechCrunch's Equity podcast, Amanda Silberling talks with Tang and Hollier about the company's newly announced flip phone, why they think the anti-smartphone backlash is only just getting started, and what it takes to break an addiction that fits in your pocket. Listen to the full episode to hear more about: How the design lessons from the original Motorola Razr shaped the new Light Flip What the "Summer of Ludd" attention activist movement says about Gen Z's relationship with big tech Why Light Phone is opening up an SDK so users can build their own tools instead of opting for an app store 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 0:51 Building Light Phone 3:10 The user shift: why people are finally ready to unplug 7:54 Designing outside the Silicon Valley bubble 9:54 Why simple tech is making a comeback (CDs, iPods, flip phones) 13:50 From the Motorola Razr to the Light Flip 17:54 Pricing and the Noble Mobile phone plan 19:44 What actually happens when you switch (and the Flip Your Life program) 23:13 Building an open-source app library for Light Phone 26:38 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

‘AI communism’, rogue models, and the why Kimi K3 spooked Wall Street

Jul 24, 2026 38 min

Chinese AI lab Moonshot's open model Kimi went viral this week for reasons that had less to do with the model itself and more to do with how the U.S. AI industry reacted to it. Meanwhile, an unreleased OpenAI model wandered outside its test environment and ended up connected to a real security breach at Hugging Face — a reminder that “China risk” isn't the only kind of AI risk worth worrying about. On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into why Kimi K3 set off a fresh round of AI panic, the industry’s response to an OpenAI staffer's “regulatory FUD” post, and what that OpenAI breach means for AI security more broadly. Listen to the full episode to hear more about: Why EVs are getting killed off across the U.S. even as automakers roll out new models, and how Rivian and Ford, and a wave of new startups are betting on different EV strategies to survive What Sila's $300 million raise says about where battery investment is headed even as EV demand cools Travis Kalanick's comeback with a $1.7 billion raise for his robotics startup, Atoms, and why we’re surprised to see Uber among its investors 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 1:39 Chinese AI model Kimi sparks a Wall Street freakout 10:45 OpenAI model breaks out of a test, Hugging Face breach 15:53 Why EVs are getting killed off in the U.S. 20:35 Tax credits, free markets, and the road ahead for EVs 28:56 Sila raises $300M for battery materials 32:20 Travis Kalanick's Atoms raises $1.7B, with Uber as an investor 36:39 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

Menlo Ventures’ Matt Murphy says the lesson for founders now is that a great model isn't enough

Jul 22, 2026 33 min

Anthropic leaped to a $47 billion revenue run rate by May, compared to $9 billion in 2025. It’s the kind of growth that Menlo Ventures' Matt Murphy says he's never seen in 25 years of investing, not in the internet wave, not in mobile, not in the first cloud boom. Menlo led Anthropic's $500M Series D, and Murphy has had a front-row seat as the company went from a pre-revenue, pre-launch bet to one of the most valuable startups out there. On this episode of TechCrunch's Equity podcast, Julie Bort talks with Murphy about backing Anthropic before anyone else would, why a great model was never the point, and what's driving the fastest-growing startups he's ever seen. Listen to the full episode to hear more about: Why Menlo bet on Anthropic at a $4 billion pre-revenue valuation when the deal didn't fit cleanly into any of the firm's funds, and why Google and Amazon signing on as investors was an early “green shoot.” Why Murphy says the model was never the real moat, and how Claude Code, MCP, and Claude Skills turned Anthropic from a strong model into a full platform. Murphy's take on the backlash to Anthropic's Mythos rollout, and why he pushes back on the idea that it was more marketing than safety. Why companies like Lovable and Legora are growing faster than any startups Murphy has seen in 25 years, and what that speed means for founders trying to compete. 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

Apple's lawsuit couldn't come at a worse time for OpenAI

Jul 17, 2026 34 min

Apple filed a trade secrets lawsuit against OpenAI last Friday, and it's not messing around. The complaint alleges a pattern of misconduct reaching all the way up to OpenAI's chief hardware officer and claims more than 400 former Apple employees now work at the company. OpenAI's response so far has been carefully hedged, and the timing couldn't be worse with the company reportedly eyeing an IPO as early as later this year. On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what the lawsuit could mean for OpenAI's own hardware ambitions and IPO timeline, plus a bigger theme running through the week's news: how much should anyone trust AI companies with their data? Listen to the full episode to hear more about: Why Microsoft CEO Satya Nadella is warning enterprises about handing data over to AI labs, and whether open source is really a way out of the “Trojan horse” data-trust problem How forward-deployed engineers (FDEs) are changing the relationship between AI labs and their enterprise customers Why General Catalyst just handed David Beckham's health drink startup a $1 billion customer value fund The scoop on a new $200M drug-discovery startup from an ex-OpenAI researcher 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 00:40 Would you want Sam Altman listening to you? 01:53 Apple sues OpenAI over trade secrets 13:24 Satya Nadella's warning: "you're paying twice" with your data 19:03 Open source vs. going deeper with AI labs 24:52 General Catalyst gives David Beckham's health drink startup $1B 30:05 Ex-OpenAI researcher raises $200M for drug discovery startup 32:58 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

Inside Ode with Anthropic, the private equity-backed startup betting AI services are the future of enterprise

Jul 15, 2026 31 min

Can a handful of engineers really do the work of an army of consultants? That’s the bet behind Ode with Anthropic — the joint venture dedicated to embedding forward-deployed engineers in enterprise firms, backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs and others. On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Ode’s leaders Chris Taylor and Eddie Siegel, who founded Fractional AI, the applied AI services startup that Ode acquired earlier this year to serve as the new venture’s core. The three discuss why so many enterprise AI pilots never make it to production and why they think AI-native services are about to become one of the biggest categories in tech. Listen to the full episode to hear more about: The case for AI-native services, and why Ode believes small teams of applied AI engineers can unlock hundreds of millions of dollars in business value. Why the company is hiring experienced generalists and former founders instead of AI researchers, and how it's turning them into elite FDEs. Whether an AI services company can scale like software, yet maintain a boutique feel, and why Taylor believes Ode could one day become a trillion-dollar business. 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 Fractional AI becomes "Ode with Anthropic" 1:13 Why non-AI companies are the real AI winners 2:04 Working with Blackstone, Anthropic, and beyond 3:05 Inside a real project: fixing LogicGate's bottleneck 7:29 How long does it take from hypothesis to production? 9:19 Measuring ROI: revenue, efficiency, and evals 16:37 Model choice vs. workflow redesign, and why it's Claude-first 23:10 Hiring generalists over specialized AI talent 26:39 Can this scale without turning into another consulting firm? 30:49 Outro Learn more about your ad choices. Visit megaphone...

Open source AI matters more than ever, according to Hugging Face's Clem Delangue

Jul 10, 2026 38 min

Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500. Delangue has seen the same story play out again and again: companies start out on frontier APIs, but as they scale, the costs push them towards open source models. On this episode of TechCrunch's Equity podcast, Rebecca Bellan talked to Delangue about why the open vs closed source fight matters in the wake of Anthropic’s halted Fable release, and why he's worried about the possibility that a handful of big companies could end up controlling everything. Listen to the full episode to hear more about: How Chinese labs are producing the majority of open models being downloaded in the U.S., and why Delangue thinks that's a problem worth fixing rather than a reason to distrust open source itself. How Hugging Face is choosing capital efficiency over the usual Silicon Valley fundraising playbook, including why the company turned down a large investment from Nvidia last year. Why he sees robotics as an even more urgent case for open, transparent AI than chatbots or coding tools, given how much of your home and family life a robot ends up seeing. 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 00:33 Breaking down open source growth data 04:34 What's driving the open source resurgence 08:47 Who’s using Hugging Face, and how? 10:28 China overtakes the US in open model downloads 16:34 Safety, access, and the risk of AI power concentration 24:03 Hugging Face's approach to legal risk 28:00 Turning down Nvidia 31:47 Underinvested opportunities: local AI, bio, robotics Learn more about your ad choices. Visit megaphone.fm/adchoices

Your gaming data could be the secret to AGI, according to this Bezos-backed startup

Jul 8, 2026 26 min

When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they're less skilled at understanding how things actually move through space and time — an essential skill for producing intelligence that generalizes. That gap, it turns out, might be filled by gaming data. That's the bet behind General Intuition, a Bezos-backed, New York-based startup valued at $2.3 billion that just closed a $320 million round with Coatue, Eric Schmidt, and researchers at MIT and Google DeepMind joining its list of investors. On this episode of TechCrunch's Equity podcast, General Intuition CEO Pim de Witte joins Rebecca Bellan to dig into why world models trained on gaming data might be the next big leap in physical AI, how the company spun out of gaming platform Medal TV, and where the ethical red lines are when your models could end up being used for defense applications. Listen to the full episode to hear more about: How eight minutes of real-world data was enough to get a robot navigating an office cold. Why General Intuition turned down an acquisition offer reportedly from OpenAI to stay independent, and why having investors who back your mission is essential to building a generational company. How the company is trying to get ahead of AI job displacement by building Nerve, a marketplace connecting gamers to data labeling and teleoperations work. 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

Best of Build Mode: Think like a VC

Jul 3, 2026 15 min

Instead of our usual news rundown, Equity is sending you off into the 4th of July weekend with a special episode of our sister podcast Build Mode. Season 3 launches July 9th, but before it does, Build Mode is revisiting some of the best fundraising and startup advice from the investors featured in last season. From choosing the right investors to building a differentiated go-to-market strategy, these venture capitalists and founder-turned-investors share hard-earned lessons on fundraising, portfolio dynamics, investor-founder relationships, and what separates the companies that successfully raise their next round from those that don't. In this episode, you'll hear from: ⁠⁠Yuri Sagalov, managing director at General Catalyst⁠⁠ ⁠⁠Ross Fubini, managing partner at XYZ Venture Capital⁠ and Leslie Feinzaig, founder and general partner at Graham & Walker⁠⁠ ⁠⁠Paul Irving, partner at GTMfund⁠⁠ ⁠⁠Leah Solivan, founder of TaskRabbit and founder of Precedent VC⁠⁠ Chapters: 00:00 Intro 01:19 Yuri Sagalov (General Catalyst): The three types of investors and who founders should avoid 03:29 Ross Fubini (XYZ VC) & Leslie Feinzaig (Graham & Walker): What great investors actually bring to the table 08:36 Paul Irving (GTMfund): The go-to-market signals investors look for 12:30 Leah Solivan (TaskRabbit / Precedent VC): Understanding the competition inside your investors' portfolios 14:30 Outro Subscribe to Build Mode on⁠⁠ ⁠Apple Podcasts⁠⁠⁠,⁠⁠ ⁠Spotify⁠⁠⁠, or⁠⁠ ⁠wherever you like to listen⁠⁠⁠. And watch the full videos on⁠⁠ ⁠YouTube⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Humble Robotics’ CEO says the tech finally caught up to the vision for autonomous vehicles

Jul 1, 2026 28 min

We've said it before, and we'll say it again: the autonomous vehicle space is starting to feel like a repeat of the 2016 hype cycle. Travis Kalanick is back building a robotics company, and the talent wars and capital are heating up the same way they did the first time around. The money's flowing back, and it's the people who lived through that first wave who are building the next one. Humble Robotics founder and CEO Eyal Cohen is one of them. Cohen was at Otto when Uber came calling, later followed Anthony Levandowski to Pronto, and after two decades bouncing between deep tech bets in the Bay Area, his new company came out of stealth in April with $24 million to build a fully autonomous, cabless electric hauler for freight. On this episode of TechCrunch's Equity podcast, Cohen joins Kirsten Korosec to talk about AV déjà vu and what he's learned from 15 years of building startups across electrification, solar, and robotics. Listen to the full episode to hear more about: The bet behind Humble's cabless design and why "the simplest possible robotics platform" was the starting point How vision models are replacing months of hand-built engineering work that used to go into recognizing things like traffic cones and stop signs Why Cohen thinks culture beats out compensation when it comes to securing talent in robotics these days 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

OpenAI's Jalapeño chip is Big Tech's spiciest move away from Nvidia yet

Jun 26, 2026 36 min

Nvidia has dominated the AI chip market for years, but the era of total dependence might be ending. OpenAI just shared its plans to spice things up with Jalapeño, its custom inference chip built with Broadcom, joining Google, Apple, and SpaceX in a growing list of companies building their way out of single-supplier risk. The goal isn't a clean break so much as a hedge. Custom silicon means more control, hardware tuned to specific needs, and the kind of performance gains Apple unlocked when it ditched Intel. On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what the custom chip trend means for the industry and a few deals of the week worth watching. Listen to the full episode to hear more about: How Groq’s $650M raise after Nvidia swept away its top talent might be the comeback story of the year AI agents getting loopy and why Claude Code creator Boris Cherny thinks these loops are “just as important and as big a step” as the leap from source code to agents Whether the public markets are warming up to humanoid robots as Agility Robotics plans to go public via SPAC A24 taking investment from Google DeepMind to develop a new AI toolkit for filmmakers 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

What if the AI giants are building the roads, not the destinations? Chi-Hua Chien thinks he knows who wins

Jun 24, 2026 43 min

In this episode, TechCrunch Editor in Chief Connie Loizos talks with Goodwater Capital co-founder Chi-Hua Chien, whose career spans some of Silicon Valley’s biggest technology shifts, from helping source Accel’s investment in Facebook as a young associate to backing a new generation of consumer and AI startups. While much of the venture world is focused on models, chips, and infrastructure, Chi-Hua argues that history suggests the biggest long-term winners of the AI era may be the application companies built on top of them. They talk about why AI startups are reaching unprecedented revenue levels with remarkably small teams, what’s driving today’s soaring valuations, and why he believes many infrastructure businesses will eventually face the same commoditization pressures seen in previous technology cycles. He also shares what he’s seeing inside consumer AI, from hyper-personalized entertainment and women’s health platforms to new products built around voice, agents, and individualized experiences. And they discuss the increasingly public tensions between founders and VCs, why some of the most interesting fintech innovation is happening outside the U.S., and why Chi-Hua believes one of the biggest opportunities in consumer technology may be helping people reconnect in the real world. Learn more about your ad choices. Visit megaphone.fm/adchoices

The US banned Anthropic's Fable 5 release, but the numbers don't seem to care

Jun 19, 2026 32 min

Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5's guardrails. Cybersecurity researchers have since signed an open letter calling the move dangerous, and Anthropic itself noted the same jailbreaks exist in other models. So is this a genuine security concern, or just the latest chapter in a messy relationship between Anthropic and the Trump administration? On this episode of TechCrunch's Equity podcast, hosts Anthony Ha, Sean O'Kane, and Rebecca Bellan unpack what the ban means for developers building on Anthropic's platform and for anyone watching the IPO, why it might accidentally be good for the company, and more of the week’s headlines. Listen to the full episode to hear more about: Why the UK's social media ban for users under 16 might be the lesser of two evils What the SpaceX-Cursor acquisition tells us about xAI's strategy (and its gaps) Jeff Bezos's $12B bet on physical AI with Prometheus, the startup trying to build an "artificial engineer" 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

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

Jun 17, 2026 35 min

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

The SpaceX IPO has finally arrived

Jun 12, 2026 20 min

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

It’s hot IPO summer, and the MANGOS are ripe

Jun 12, 2026 33 min

The IPO market is back, and it's not the same companies leading the charge. FAANG had a good run, but a new acronym is taking over: MANGOS — Meta (or Microsoft, depending on who you ask), Anthropic, Nvidia, Google, OpenAI, and SpaceX. Half of that bunch is heading to public markets in the same window, and it's a stress test for investors, for valuations, and for what we can even expect from a public tech company in 2026. On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane break down what this IPO moment actually means beyond the headline numbers, and who stands to benefit. Listen to the full episode to hear: Why Apple's biggest WWDC announcement might matter less than how they showed it, and what a $250M settlement had to do with the change How Waymo just turned Apple's abandoned self-driving dream into its next big proving ground What a $920 million-per-month compute deal between Google and SpaceX says about who's leading the AI infrastructure race How Sam Bankman-Fried's pardon request and a new Zuckerberg biopic somehow ended with the Equity team getting cast by ChatGPT 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

Andrew Yang on Noble Mobile, UBI, and why he's done waiting for policy to catch up

Jun 10, 2026 29 min

Andrew Yang’s 2020 presidential campaign was based on a warning that automation and AI would hollow out the labor market and concentrate wealth in the hands of a few. At the time, ideas like Universal Basic Income felt fringe. Now Dario Amodei, Sam Altman, and Bernie Sanders are all saying versions of the same thing. An entrepreneur at heart, Yang has found a new way to put money back into the hands of the people — one phone bill at a time. On this episode of TechCrunch's Equity podcast, Rebecca Bellan talks to Yang about his startup Noble Mobile, which pays you to use your phone less, ways to combat the “attention economy,” and what startups can do when the government won't move. Listen to the full episode to hear: Why Yang thinks the $100 billion gap between what Americans and Europeans pay for wireless is a startup opportunity. How a partnership with the Light Phone fits into the growing "together tech" movement, and why Yang has been throwing no-phone parties in LA and NYC. What he actually thinks of Bernie Sanders' proposed AI sovereign wealth fund, and why he's skeptical the money should flow through government at all. Why UBI isn't a salary replacement but a "landing pad,” and what Noble Mobile's $600-a-year savings has to do with 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

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

Jun 5, 2026 33 min

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

Every defense startup wants to be the next Anduril. Here's what its first backer is looking for now.

Jun 3, 2026 38 min

Defense tech is red hot right now, with a proposed 40% increase to the federal defense budget, Anduril doubling its valuation to $61 billion, and a wave of startups chasing government contracts. But according to Ross Fubini, the venture investor who wrote Anduril's first check, most of them won't make it. The valley of death between a prototype contract and a real production deal is about to claim a lot of companies. On this episode of TechCrunch's Equity podcast, Rebecca Bellan asks Fubini — the founder and managing partner of XYZ Venture Capital, built on the Palantir alumni network and now approaching $2B AUM — what separates the survivors from the rest. Listen to the full episode to hear: Why Ukraine and Iran have become live testing grounds for US defense startups, and which companies are getting in the field How other countries are building their own defense tech ecosystems, and what that means for where startups build and sell The sustainment problem nobody wants to talk about, and why autonomous logistics is the real moat Where Fubini is writing checks next, from AI-driven US manufacturing to government software for health and human services 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

Does your CEO have AI psychosis? Aaron Levie thinks most of them do.

May 29, 2026 38 min

The people deciding that AI can replace your job are also the ones least likely to understand what your job truly involves, according to Box founder Aaron Levie, who pointed to this as an example of "AI psychosis.” Indeed, ClickUp recently cut 22% of its workforcefor AI agents, tech layoffs in 2026 are already nearly matching all of 2025, and DuckDuckGo installs are climbing from users who want Google to stop forcing AI into search and just give them links. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what happens when the AI-pilled and the AI-skeptical are both right at the same time, plus three deals worth knowing about and Waymo's new robotaxi hitting the road. Listen to the full episode to hear: Kirsten's first look at Waymo's new Ojai robotaxi in Phoenix, and the crew's thoughts on the company's path to profitability Cloud data storage giant Snowflake’s $6 billion five-year agreement with AWS Why Stord, the "anti-Amazon" fulfillment startup, just raised $250 million at a $3 billion valuation What OpenRouter's $113 million raise says about the picks-and-shovels layer, and how long that interest lasts How the AI agent wave is actually reshaping hiring, not just headcount 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 01:18 Waymo's new Ojai robotaxi 06:41 Stord raises $250M to take on Amazon fulfillment 12:46 Snowflake signs $6B deal with AWS 15:39 OpenRouter raises $113M Series B 20:07 The AI divide & anti-AI backlash 27:31 AI psychosis & how AI is reshaping headcount and hiring 37:04 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices