Explore every episode of the podcast Equity

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

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 acquisition and pivot to AI/defense  36:34 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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 Detecting fake images, now that AI photos are scarily good  19:13 Competing with GPTZero, Winston, and building "core infrastructure"  21:43 Will good writing jobs actually come back?  23:36 Outro   Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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 robotics become Stockholm’s next big thing?  29:45 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

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 surges while OpenAI's losses deepen  27:08 Also raises $150M and drops the “micro mobility” label  32:30 Uber teams up with Zipline for drone delivery  37:19 Wispr hits a $2B valuation  38:26 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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 high demand  22:56 Do GPUs depreciate as fast as everyone thinks?  23:20 Making sense of the Texas and New York data center pauses  25:40 What the futures curve says about where prices are headed  28:01 Silicon Data's $30M Series A and what's next  30:36 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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 Materials  23:28 Joby Aviation buys into defense with Resonant Sciences  28:24 The $250M VideoVerse-Minute Media deal, a missing CEO, and a mess of lawsuits  32:37 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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 ad to Anthropic's constitution  10:20 The Twitter “town hall” myth  13:36 Structuring the book: history meets science fiction  17:46 The Machine Stops, and other bad manuals for the future  19:16 Musk, Heinlein, and misreading sci-fi  19:41 Why Lepore thinks the artificial state is “doomed”  21:51 Data centers, local politics, and the death of local news  24:44 Revisiting disruptive innovation, ten years later  26:54 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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, Blue Origin, and the launch-business angle  23:48 Pangram raises $9M to detect AI slop  29:23 DoorDash builds its own delivery drones  33:24 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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

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 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

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.fm/adchoices

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

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

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

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

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

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

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

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 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

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’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

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

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

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

Google I/O made it official: AI-generated answers are now front and center in search, and most brands have almost no visibility into how AI is describing them to their customers. For anyone who has spent years building a strategy around 10 blue links, the rules just changed in a pretty significant way.  On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Matt Thompson, VP of partnerships at Scrunch, a startup positioning itself at the center of the AI search shift, to talk about what Google’s changes mean and marketers and founders should actually do about it.  Listen to the full episode to hear:  Why AI referrals are converting at 400% higher than traditional organic search, and what that means for how to think about traffic.  How ChatGPT still has the lion's share of AI search traffic, and why optimizing only for Google means missing most of the market.  Why Google's own SEO best practices might be leading marketers in the wrong direction.  What it actually means to make your website "agent ready" and why most enterprise sites aren't.  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 SpaceX S-1 is finally here, and the story it tells goes way further than rockets. The filing runs to 36 pages of risk factors alone, and the numbers inside match the ambition: a $28 trillion total addressable market, a pay package tied to establishing a Mars colony, and a valuation target that would make it the largest IPO in American history.  On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what the filing actually says, what it leaves out, and whether any of this math connects to reality.  Listen to the full episode to hear about:  Why NanoCo turned down a $20 million buyout to raise a $12 million seed instead  Anthropic’s acquisition of SDK startup Stainless, and why taking a tool off the table matters as much as the $300 million price tag  What happened when commencement speakers started talking up AI in front of graduating classes, and why the students weren't having it  Google’s I/O announcements claiming search as you know it is over, and what the AI makeover could mean for the open web   Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Slapping "AI" on your startup’s pitch deck is basically table stakes right now. When a founder raised $20 million from Cathie Wood's ARK Invest for an eSports gamification loyalty startup without those two letters in the spotlight, it got us wondering how the conversation even started — especially when ARK had already been burned by a company operating in the same space.  On this episode of TechCrunch's Equity podcast, Julie Bort sits down with Dylan Robbins, founder and CEO of Lucra, the white-label platform turning friendly competitions into loyalty programs for brands like golf courses, arcades, and pickleball clubs.  Listen to the full episode to hear about:  How Dylan met his ARK connection over a game of darts at a New York City bar  Why pitching a non-AI company in peak AI fundraising season meant addressing it head-on, even when it had nothing to do with his business  How being honest with investors about what wasn't working yet actually helped him close the round  Why Lucra pivoted from consumer to B2B in 45 days (and why that pivot is what convinced ARK they weren't looking at another Skillz).  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 Musk v. Altman trial came to a close this week, and the final arguments kept circling back to one question: can we trust the people in charge of AI? All of this is playing out as SpaceX charges toward what could be one of the largest IPOs in American history, with a whole generation of founders already spinning out of the Musk empire. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane break down the trial's closing stretch and what the growing Elon Musk founder ecosystem actually looks like on the ground, and the other deals that caught our eye this week. Listen to the full episode to hear about: How Anduril landed a $5 billion Series H, more than doubling the valuation it landed just under a year ago  Why investors just can’t say no to RJ Scaringe, who’s raked in over $1 billion for Rivian spinout Mind Robotics How voice AI startup Vapi beat out over 40 other companies to secure a contract handling all of Ring's customer support What an Anthropic report about an AI agent blackmailing its own developers says about where the industry actually is 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 may be changing how companies build, but it's also changing how they get attacked, often by their own tools. Amazon Chief Security Officer Steve Schmidt has watched threat actors at every skill level get sharper, faster, and harder to contain. The risk he's most focused on, however, isn't coming from outside the firewall. On this episode of TechCrunch's Equity podcast, we're bringing you a conversation Rebecca Bellan had with Schmidt at the HumanX conference in San Francisco. The two dug into what AI is already doing to the threat landscape and how Amazon is rethinking identity, containment, and human oversight to keep agents in check. Listen to the full episode to hear about: Why shadow AI inside your own organization may be a bigger liability than the hackers trying to get in What agentic identity means in practice, and how Amazon traces every agent action back to a human How startups with five people (and no CISO) can manage their AI security, and why containment is becoming the defining security challenge of the agentic era 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

Everyone wants a piece of the enterprise AI pie, and this week, we saw a string of companies making their moves. From Anthropic and OpenAI announcing new joint ventures targeting enterprise AI deployment to SAP dropping $1B on German AI startup Prior Labs, it's becoming clear that if you're a startup building enterprise tools, you're likely an acquisition target.  On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the week's enterprise AI deals, the xAI-Anthropic compute arrangement, and what it all means ahead of what could be a big IPO season.  Listen to the full episode to hear about:  Why a TikToker is trying to crowdfund the purchase of Spirit Airlines, and whether anyone really loves Spirit enough to make it work  Why Katie Haun's venture fund and Andreessen Horowitz are both raising billions to back a crypto comeback  Aurora Innovation's milestone commercial trucking contract with a Berkshire Hathaway subsidiary, announced shortly after we caught up with Aurora’s CEO, Chris Urmson, at HumanX  The Pentagon's latest AI spending spree, inking deals with Nvidia, Microsoft, and AWS  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  00:31 Spirit Airlines & the crowdfunded "people's airline"  03:25 xAI x Anthropic deal: is xAI becoming a NEO cloud?  13:47 Haun Ventures & a16z's crypto comeback  17:48 Aurora Innovation lands a commercial trucking contract  19:27 A big week for enterprise AI: who's actually making money?  26:45 The Pentagon's AI spending spree  31:04 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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

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

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

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

The gap between AI insiders and everyone else is widening, and the spending, suspicion, and even new vocabulary are starting to show it. While OpenAI is busy buying up everything from finance apps to talk shows, a certain shoe company just rebranded as an AI infrastructure play, and Anthropic unveiled a model it says is too powerful to release publicly ...but apparently not too powerful to demo to Federal Reserve Chair Jerome Powell.  On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what's actually being built in AI infrastructure, who's winning the enterprise battle between OpenAI and Anthropic, and more of the week's headlines.  Listen to the full episode to hear about:  Why chipmakers AMD, Arm, and Qualcomm just piled $60M into UK self-driving startup Wayve, and what Uber's $300M milestone bid says about who's winning the AV race  How data center startup Fluidstack is positioning itself for the frontier labs, including a reported $50B agreement with Anthropic  What Claude Code's moment at the HumanX conference reveals about where the OpenAI vs. Anthropic rivalry is actually playing out  Why tokenmaxxing, and Meta's leaked internal leaderboard, might say more about optics than actual productivity  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.    Chapters:  00:00 Intro  00:25 Allbirds is now an AI company, apparently  04:48 Why chipmakers are betting on Wayve  12:01 Fluidstack wants $1B to build AI data centers  16:24 OpenAI buys a finance app and a talk show  21:27 Anthropic vs. OpenAI in enterprise  24:15 The Anthropic model they won't release to the public  26:47 Why AI feels so distant to everyone else  30:47 What even is tokenmaxxing?  34:49 Parasail's $32M bet on cheaper AI inference  36:39 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

When Grammy-nominated singer-songwriter Aloe Blacc got COVID despite being vaccinated and boosted, he tried to fund research for a better solution. What he quickly found out? You can't just write a check in biotech. Regulators require a commercialization plan, and philanthropy doesn't move science through clinical trials or get you a license on university IP. Now, he's bootstrapping a cancer drug platform targeting pancreatic cancer, a disease that kills 90% of its patients, and intentionally waiting to raise from his network until peer-reviewed papers can make his case.  On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Aloe Blacc to talk about what happens when a creator decides to build instead of just invest, how Aloe is watching AI reshape both the biotech and music industries in real time, and his thoughts on who actually wins.  Listen to the full episode to hear:  How he’s navigating a world where credibility is earned in data, not fame  How a University of Houston molecule discovery platform could cut years off drug development timelines  Why he thinks record labels, not artists or AI companies, will ultimately control the economics of AI-generated music  What Suno taught him about prototyping, and why his next album will still be recorded with live musicians  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Learn more about your ad choices. Visit megaphone.fm/adchoices

LLMs may have kicked off this AI boom, but the ceiling is closer than the hype suggests. As models run out of text data to train on, the companies and investors paying attention are already moving on. The next wave isn't better chatbots; it's machines that can understand the physical world. Luma AI, the Bay Area lab that raised over $1.4 billion from a16z, Nvidia, and Amazon, is betting on exactly that.  On episode of TechCrunch's Equity podcast, we’re bringing you a conversation Rebecca Bellan sat down with Amit Jain, co-founder and CEO of Luma AI, at Web Summit Qatar. Together, the pair dug into where the next trillion-dollar AI opportunity actually gets built, and whether the companies chasing it even know what they're building yet.  Listen to the full episode to hear about:  Why video, audio, and images are the real frontier for AI training data, not text  What an "intelligent world model" actually is, and why Jain thinks most companies building them are getting it completely wrong  The case for why AI won't kill creative jobs, and why Jain thinks studio heads are the real problem  How the path from video generation to robotics to AGI is simpler than anyone's making it sound  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Chapters:  00:00 Intro  01:13 Why LLMs are hitting a ceiling  02:43 The data problem & what comes after LLMs  04:30 What actually makes a world model a world model  06:05 Why 3D data is a dead end  07:39 What Luma is building next  09:08 How much humans stay in the loop  10:00 Near-term use cases for agentic video  11:22 Will AI kill jobs in film & production?  13:30 Why the entertainment industry is already dying  15:27 Why we actually need more content, not less  17:46 Luma's roadmap: generation, understanding, and robotics  19:54 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

Snowflake is betting that the future of AI isn’t just analyzing data, it’s acting on it. That means a shift away from chatbots and toward autonomous agents that can actually get work done. And Snowflake is reorganizing fast to keep up, from shipping hundreds of AI features to restructuring teams along the way.On this episode of TechCrunch’s Equity podcast, Rebecca Bellan sits down with Snowflake CEO Sridhar Ramaswamy to unpack the company’s transformation and what it signals about where AI is headed next. Listen to the full episode to hear: Why Ramaswamy believes the chatbot era is ending and the agentic era is beginning. How Snowflake is evolving from a data warehouse into an AI and applications platform. What “shipping with your data” actually looks like in practice. Why the company is making big internal changes to support its AI push. Subscribe to Equity on ⁠YouTube⁠,⁠ Apple Podcasts⁠,⁠ Overcast⁠,⁠ Spotify⁠ and all the casts. You also can follow Equity on⁠ X⁠ and⁠ Threads⁠, at @EquityPod.  Chapters: 00:00 Intro 00:17 Snowflake’s AI shift and agentic future 01:45 Why 2026 marks the end of chatbots 04:09 Cortex Code, Snowflake Intelligence, and new products 06:09 Who benefits: non-technical users & enterprises 07:35 Adoption challenges and why AI pilots fail 12:11 How AI is reshaping jobs and skills 14:39 Layoffs, automation, and the future of documentation 18:37 Snowflake’s evolution into an AI platform 21:04 Competition: Databricks, hyperscalers, and AI giants 25:01 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

Tech companies are racing to build data centers in space, pitching orbital compute as the next frontier for AI infrastructure, even as the technical and economic realities remain far from clear. Add in OpenAI’s massive $122 billion round and Bluesky’s latest AI backlash, and the message is clear: The future of AI is being shaped as much by ambition and hype as it is by real-world constraints.  On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane unpack these massive capital bets, user backlash, and off-world compute plans along with Whoop’s major valuation and the literal downfall of robot Olaf.   Listen to the full episode to hear about:  OpenAI’s $122 billion fundraise and what its near-trillion-dollar valuation says about expectations for AI.   Whoop’s $575 million raise and the shift toward “wearables 2.0” (and what happens to all that data).   Bluesky’s AI-powered feed builder and why it triggered a major user backlash.   The rise of data centers in space and whether they are financially or physically feasible.   Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Chapters: 00:00 Intro 00:20 A humanoid Olaf robot collapses at Disneyland Paris 03:30 OpenAI raises $122B at an $852B valuation 11:30 Whoop lands $575M and bets big on wearable data  18:50 The risks (and value) of personal health data 23:00 Bluesky’s AI feed builder sparks backlash 30:00 Can Bluesky keep growing — and compete with X? 36:30 The race to build data centers in space 44:30 SpaceX, Starlink, and the business of orbital compute 49:30 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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

Over the past few years, a new category of mobile apps has quietly exploded into a multi-billion dollar business. They're called “micro dramas” — short-form, mobile-first scripted shows designed to be watched vertically on your phone. Think soap opera meets TikTok, complete with secret billionaire romances, disapproving werewolf mothers-in-law, and cliffhangers engineered to keep users tapping. The leading app, ReelShort, made $1.2 billion in consumer spending last year alone.   On this episode of TechCrunch's Equity podcast, Rebecca Bellan and TechCrunch senior reporter Amanda Silberling sit down with Henry Soong, founder of Watch Club, who thinks the micro drama industry is still "in its MySpace era." He has a vision for what the Facebook moment could look like.  Listen to the full episode to hear:  Why micro dramas took off in China while Quibi burned through $2 billion and failed in the U.S., and what that gap reveals about content, product, and business model.  How Watch Club is targeting a completely different audience than ReelShort and Drama Box.  The tension between building an intentional social experience and optimizing for engagement the way TikTok does.  Whether AI is coming for the werewolf billionaire romance script. Amanda has thoughts.   Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Chapters:  00:00 Intro  01:11 Why micro dramas, and why now?  04:25 What makes Watch Club different  07:29 The monetization model problem  18:52 Optimizing for intentionality, not engagement  24:23 Why Quibby failed (content, product & business model)  28:22 Defensibility: tech company or studio?  31:36 AI, the WGA, and the future of storytelling  33:44 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices