Equity

According to Index Ventures Partner Shardul Shah, cybersecurity startup Wiz sits “at the center of three tailwinds: AI, cloud, and security spend.” Those tailwinds powered what just became the largest venture-backed acquisition in history — Google's $32 billion deal, finalized after a declined 2024 offer, antitrust review on both sides of the Atlantic, and an extra $9 billion to sweeten the pot.    On this episode of TechCrunch's Equity podcast, Anthony Ha, Rebecca Bellan, and Sean O'Kane sit down with Shah to dig into what made Wiz worth that price tag, and also cover more of the week's headlines.    Listen to the full episode to hear about:  Why a DOGE employee allegedly walked out of the Social Security Administration with a thumb drive full of personal data, and the questions it raises about access to sensitive systems  Taya and Sandbar, the latest startups betting voice is the next big AI interface — but do normal consumers agree?  Palmer Luckey raising for a retro gaming startup at a $1 billion valuation  Meta’s acquisition of Moltbook, the viral AI agent social network  The latest in the Anthropic vs. DoD saga, including tech workers at OpenAI, Google, and Microsoft signing their names on a legal brief in support of Anthropic  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.    Chapters:  00:00 Intro  00:16 Did a DOGE employee steal your SSN?  02:53 AI note-taking wearables are back: Taya & Sandbar  09:18 Palmer Lucky's retro gaming startup ModRetro  13:39 Meta acquires AI agent social network Moltbot  18:54 Inside Google's $32B Wiz acquisition with Shardul Shah  28:41 Anthropic's lawsuit against the DoD  38:40 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

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

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

Does a consumer hardware company need to get on the VC treadmill to succeed? Eleven years and 290 million products sold across 115 countries later, PopSockets has proven that the bootstrapped, low-dilution path more viable than the industry gives it credit for. The global consumer hardware brand was built on less than $500k, no institutional capital, and a philosophy professor's determination.      On this episode of TechCrunch's Equity podcast, Dominic-Madori Davis caught up with founder and former CEO of PopSockets David Barnett to talk about how he scaled from a Boulder garage, stood up to Amazon at a $10–20 million cost, and eventually handed off the CEO role to someone who'd grown up inside the company.    Listen to the full episode to hear:  How a house fire and some insurance money became the unlikely seed funding for a global brand  What nearly sinking the company in manufacturing defects actually taught him about building one that lasts  How ignoring his investors' advice turned out to be the right call  What he looked for in a successor CEO (and why culture was non-negotiable)  What he'd do completely differently if he launched PopSockets today  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  01:15 From philosophy professor to phone grip inventor  05:17 How a house fire funded PopSockets  07:33 Manufacturing nightmares nearly killed the business  10:08 The local toy store that proved it could work  13:14 The $20M Amazon standoff  16:09 Growing too fast?  18:20 Beating counterfeits in China through brand building  19:11 Why David never wanted to be CEO  23:07 The worst advice received, and what to do instead  26:35 Outro  Learn more about your ad choices. Visit megaphone.fm/adchoices

The Pentagon is playing chicken with Anthropic over who gets to control how the military uses AI while communities across the country are blocking data center construction. As the AI debate has been flattened to “doomers versus boomers,” one state legislator is attempting to walk a middle road.  On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Alex Bores, New York Assembly member and congressional candidate. Bores sponsored New York's first-of-its-kind AI safety law the RAISE Act — and quickly became the target of a Silicon Valley super PAC with $125 million to spend on attack ads.    Listen to the full episode to hear about:  The dueling super PACs now fighting over AI's future, and why Anthropic's $20 million bet on the pro-regulation side matters.  What the RAISE Act actually requires, why it's being called the blueprint for AI regulation nationwide.  Whether AI regulation ends up looking like finance and biotech or goes the way of social media — largely unregulated until the damage is done.  What's coming next from Bores’ office: bills on training data disclosure, content provenance, and a 43-point national AI framework.  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

Crypto is creeping back into the startup conversation, but at ETH Denver last week, the buzz was as much about Washington as it was about tokens. Policy shifts are rippling through the market as Tether and stablecoins face scrutiny, players like Stripe re-enter the chat, and startups either find traction or flame out. The hype cycle is over, or at least taking a break. So what comes next?    On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Jacquelyn Melinek, CEO of Token Relations and host of the Talking Tokens and Crypto in America podcasts, to make sense of how the market has changed and what in the world of crypto is built to last.  Listen to the full episode to hear about:  Why ETHDenver fell flat despite a strong speaker lineup, and what it signals about crypto’s shifting hubs.  What White House crypto adviser Patrick Witt and SEC Commissioner Hester Peirce are actually pushing for with The GENIUS Act and Clarity Act.  What Stripe is quietly building with Bridge, Privy, and Tempo, and whether it's becoming the Visa of stablecoin settlement.  Tether's shrinking equity cushion and what a de-pegging event could mean for the broader crypto market.  YC’s surprising move to accept stablecoin investment as Bitcoin prices sit at half their peak.  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

TechCrunch's founder-focused podcast, Build Mode, is back. This season we’re breaking down what it really takes to build a world-class founding team starting with your cap table, equity structures, and startup compensation strategy.  We kick off with Yuri Sagalov, managing director at General Catalyst and former founder, YC partner, and seed investor at Wayfinder Ventures. Yuri has worked with hundreds of pre-seed and seed-stage startups, and he shares practical advice on how early-stage founders should think about startup equity, cap table design, investor selection, and compensation structures from day one.  He breaks down:  The 3 types of investors (and which one to avoid)  Why your cap table is part of your team  The 20–25% seed dilution rule  How to split equity with a co-founder  How to talk to early employees about risk and compensation  No matter where you are in your startup journey, this episode will help you get the incentive structure right from the beginning.   Chapters:  00:00 - Why your first hires deserve more equity 00:31 - Meet Yuri Sagalov (YC → General Catalyst) 02:12 - Your cap table is part of your team 02:50 - The 3 types of investors (avoid this one) 05:02 - How to split equity with a co-founder 07:55 - How much equity to give early employees 09:37 - How to talk compensation and risk 12:31 - Red flags in formation docs and vesting 18:27 - Advisors for equity? Usually a mistake 20:05 - The 20–25% seed dilution rule 26:03 - The shift to 10-year stock options 34:11 - Don’t scale before product-market fit 39:23 - Final advice: Just start and choose your co-founder carefully  New episodes of Build Mode drop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams.  Learn more about your ad choices. Visit megaphone.fm/adchoices

The creator economy is evolving fast, and ad revenue alone isn't cutting it anymore. YouTubers are launching product lines, acquiring startups, and building actual business empires. Even MrBeast's company bought fintech startup Step, and his chocolate business is outearning his media arm. This isn't just one creator's strategy. It's the new playbook.    On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Rebecca Bellan unpack how creators are diversifying beyond ads, what happens when influence becomes infrastructure, and whether this model can scale beyond the top 1%.    Listen to the full episode to hear about:  How Date Drop raised “a few million” on the idea that one curated match per week can fix college dating burnout  Ex-Tesla VP Drew Baglino's $140M raise for solid-state transformers powering AI data centers  The handshake that didn't happen: Sam Altman and Dario Amodei's moment at India's AI summit  India's $200B AI infrastructure push and why its first AI IPO flopped  ByteDance's Seadance 2.0 and whether AI video tools democratize creativity or just create an endless flood of content  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

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

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

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

AI lab Flapping Airplanes just landed $180 million in seed funding from the likes of Google Ventures, Sequoia, and Index to do something most labs have quietly given up on: making models learn like humans instead of vacuuming up the internet. The founding team, made up of brothers Ben and Asher Spector and co-founder Aidan Smith, is betting that radically more data-efficient training could open the door to entirely new AI capabilities.  Today on Equity, TechCrunch AI editor Russell Brandon sits down with all three founders to discuss why investors wrote such a large check for a lab with no product, what becomes possible with more efficient AI, and why they're prioritizing creativity over credentials.  Listen to the full episode to hear about:  Why the Flapping Airplanes team is focused on research first, commercialization later  What the "neolabs" generation means for AI development  How they plan to make AI models 1,000x more data efficient. A hint? The team thinks the brain is "the floor, not the ceiling" for AI capabilities  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 has merged SpaceX and xAI, creating what might be the blueprint for a new Silicon Valley power structure. With his $800 billion net worth already rivaling historic conglomerate GE's peak market cap, and Musk being vocal about his view that "tech victory is decided by velocity of innovation," the question isn't whether a personal conglomerate can be built, but rather how far Musk himself is going to take it.    Today on Equity, we're unpacking this new era of the "everything" business, whether we'll see others like Sam Altman follow suit, and more of the week's headlines.  Listen to the full episode to hear about:   Waymo's new $16B funding and why Alphabet staying as majority owner matters for an eventual IPO  Why everyone from Intel to Tesla is trying to break Nvidia's AI chip dominance  ElevenLabs’ $11B valuation, and why some investors are doubling — and quadrupling — down as it moves beyond voice AI  Positron's $230M bet on power-efficient chips as the next frontier  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Learn more about your ad choices. Visit megaphone.fm/adchoices

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

Self-driving truck startup Waabi's billion-dollar fundraise isn't just about trucks.     The deal, for $750 million up front plus another $250 million from Uber tied to deployment milestones, marks a major expansion into robotaxis for the company founded by former Uber AI chief Raquel Urtasun. It also feels like another chip from Uber on the autonomous vehicle roulette table. With more than 20 AV partners worldwide, the question isn't just whether Waabi can deliver on its plans to deploy over 25,000 robotaxis, but whether Uber's bet-on-everything strategy actually works.    Today on TechCrunch's Equity podcast, hosts Kirsten Korosec, Sean O'Kane and Anthony Ha discussed Uber's AV partnership strategy, why Waabi's "simulation-first" approach might be different, and more of the week's headlines.  Listen to the full episode to hear about:  Anduril's drone race recruitment stunt and whether it's the future of hiring or just good PR  Phia’s $35M raise for an AI shopping assistant as brick-and-mortar stores close their doors  Northwood Space's $100M Series B and the booming space infrastructure market  Who’s really winning in TikTok's messy US ownership deal, and the competitors trying to capitalize  The IPO window cracking open, and how SpaceX plans to go through it  Chapters:  00:00 Intro  02:13 Palmer Luckey's bold recruiting strategy  04:04 Phia raises $35M for sustainable shopping  06:27 Browser extensions & the privacy problem  09:59 Northwood Space's $100M Series B & Space Force contract  12:17 The rise of dual-use space companies  14:01 Waabi's $1B valuation & beyond trucking  16:36 Uber's strategy: Betting on every AV partner  19:12 TikTok's US deal & immediate outage  21:46 TikTok competitors gain ground  24:03 IPO window opening: Ethos, Serve, and SpaceX  27:57 Will Elon actually take SpaceX public this time?  29:11 Outro  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Learn more about your ad choices. Visit megaphone.fm/adchoices

SpaceX is reportedly lining up four major Wall Street banks for a 2026 IPO that could provide the reset the market needs.  The company just completed a tender offer at an $800 billion valuation, and secondary market demand is through the roof. If SpaceX goes public anywhere near its rumored $1.5 trillion valuation, it could trigger an IPO cascade for other late-stage unicorns like OpenAI, Stripe, and Databricks.  Today on TechCrunch’s Equity podcast, Rebecca Bellan spoke with Greg Martin, Managing Director at Rainmaker Securities, to discuss why this IPO feels different, how tech employees are cashing out through secondary markets before companies go public, and what investors are actually looking for in pre-IPO shares.  Listen to the full episode to hear:  Which other late-stage unicorns are seeing the most secondary trading action right now.  Why SpaceX is ready to go public, despite previously saying it “wouldn't IPO until rockets were flying to Mars regularly” (and why Martin doesn’t think SpaceX will continue on its debut path if the market tanks)  The "Elon halo effect" and how much of SpaceX's valuation is based on Musk himself  What happens when SpaceX employees want to sell shares before the IPO  Chapters: 00:00 Introduction 01:39 The Booming Secondary Market for Pre-IPO Shares 04:06 SpaceX as an IPO Bellwether 06:31 Why Elon Musk Changed His Mind on Going Public 10:04 The Race to a Trillion-Dollar Valuation 12:27 The Elon Halo Effect on Valuations 15:17 What Signals an Upcoming IPO? 17:50 How Secondaries Drive Better Price Discovery 20:47 How SpaceX Secondaries Actually Work 24:03 What Investors Want from Pre-IPO Companies 25:11 The Have and Have-Not World of Secondaries 26:42 Outro Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Learn more about your ad choices. Visit megaphone.fm/adchoices

The World Economic Forum's annual meeting in Davos felt different this year, and not just because Meta and Salesforce took over storefronts on the main promenade. AI dominated the conversation in a way that overshadowed traditional topics like climate change and global poverty, and the CEOs weren't holding back. There was public criticism of trade policy, warnings about AI bubbles popping, and a lot of talk about what comes next for the industry.    Meanwhile, back in Silicon Valley, AI startup Humans& raised a $480 million seed round with no product on the market, just a vision for "social intelligence" AI and a team of ex-Anthropic, Google, and xAI employees.    Today on TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane discuss why raising hundreds of millions before building a product is apparently the new norm, which conversations took over Davos this week, and more.    Listen to the full episode to hear more from the week, including:  Whether Meta's 10% layoffs at Reality Labs means the end for the metaverse, and who’s defending Meta's VR investments  Serve Robotics' acquisition of Diligent, a startup bringing delivery bots into hospitals  OpenAI’s rumored earbuds and what we expect to see from the AI company’s first hardware product.  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

Today on Equity, we're teaming up with our newest podcast, Build Mode. In this interview, Build Mode host Isabelle Johannessen sits down with Ross Fubini of XYZ Ventures and Leslie Feinzaig of Graham & Walker Ventures to pull back the curtain on how VCs build their own go-to-market strategies. They dig into what it’s really like raising a first fund, why founder-market fit applies to investors too, and how the best investor relationships start years before you ever need the money. 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 companies are clustering around healthcare and fast.  In just the past week, OpenAI bought health startup Torch, Anthropic launched Claude for Health, and Sam Altman-backed MergeLabs closed a $250 million seed round at an $850 million valuation. The money and products are pouring into health and voice AI, but so are concerns about hallucination risks, inaccurate medical information, and massive security vulnerabilities in systems handling sensitive patient data.  Today on TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into why the AI world is suddenly obsessed with health care, what other products can expect an AI-makeover, and more.  Listen to the full episode to hear:   How Anthropic's co-work tool could threaten Salesforce and other enterprise software giants  Bandcamp’s move against AI, banning AI-generated music from its platform  Why fusion energy is heating up, with startups like Type One Energy suddenly raising hundreds of millions  The latest on Luminar's bankruptcy and a potential bidding war overits LIDAR assets  Chapters:  00:00 - Introduction   00:29 - Waymo testing in New York City?  02:13 - Bandcamp bans AI-generated music   04:57 - Luminar's bankruptcy and LIDAR fire sale   10:28 - Type One Energy's fusion funding frenzy   16:10 - AI's healthcare land grab   23:28 - Voice AI deals heat up   25:26 - Anthropic's co-work tool threatens enterprise software  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 agents are supposed to make work easier. Instead, they're creating a whole new category of security nightmares.    As companies deploy AI-powered chatbots, agents, and copilots across their operations, they're facing a new risk: how do you let employees and AI agents use powerful AI tools without accidentally leaking sensitive data, violating compliance rules, or opening the door to prompt-based injections? Witness AI just raised $58 million to find a solution, building what they call "the confidence layer for enterprise AI."    Today on TechCrunch’s Equity podcast, Rebecca Bellan was joined by Barmak Meftah, co-founder and partner at Ballistic Ventures, and Rick Caccia, CEO of Witness AI, to discuss what enterprises are actually worried about, why AI security become an $800 billion to $1.2 trillion market by 2031, and what happens when AI agents start talking to other AI agents without human oversight.    Listen to the full episode to hear:   How enterprises accidentally leak sensitive data through "shadow AI" usage.  What CISOs are actually worried about right now, how the problem has evolved rapidly over 18 months, and what it will look like over the next year.  Why traditional cybersecurity approaches don't work for AI agents.  Real examples of AI agents going rogue, including one that threatened to blackmail an employee.  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