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What if the biggest lever for improving U.S. healthcare isn’t clinical, but operational? In this episode, recorded live at New York Tech Week, a16z General Partner David Haber speaks with Trey Holterman (Tennr) and Christophe Rimann (Camber), two founders tackling the core infrastructure problems slowing healthcare down - from broken referral handoffs to denied insurance claims. They discuss building trust in high-stakes workflows, how better incentives (not just better tech) drive adoption, and why the most defensible products aren’t just smart - they work 97%+ of the time. Plus: advice for founders, the cultural edge of New York startups, and what they’d fix first if they ran HHS. Timecodes: 00:00 Introduction to Healthcare Payment Innovation 00:48 Meet the Founders: Trey Holman and Christophe Reman 02:31 The Broken Healthcare System: Identifying the Problems 03:47 The Why Now: Technological and Market Shifts 05:29 Understanding the Customers and Their Needs 06:34 Challenges and Misconceptions in Healthcare Technology 08:31 Building a Company in New York City 10:29 Leveraging AI and Technology for Better Outcomes 12:29 Defensibility and Differentiation in Healthcare Solutions 15:28 Impact on Providers and Patients 18:09 Advice for Aspiring Healthcare Entrepreneurs 23:17 Conclusion and Final Thoughts Resources: Find David on X: https://x.com/dhaber Find Trey on LinkedIn: https://www.linkedin.com/in/trey-holterman Find Christophe on X: https://www.linkedin.com/in/christopherimann/

For the past 20 years, consumer technology has been shaped by the same form factors: apps and touchscreens on smartphones. But advances in AI, wearables, and hardware could introduce an entirely new stack—creating a more agentic, adaptive, and immersive computing experience for users everywhere. Drawing on his early days building Facebook’s News Feed to his work today on smart glasses and AR headsets, Meta CTO Andrew Bosworth joins a16z Growth General Partner David George to share how he's translated emerging technologies into products people use and love. He also explores how breakthroughs in AI and hardware could turn the existing app model on its head, introduce entirely new competitive dynamics and business models for startups, and usher in a post-mobile phone era. If we get it right, Bosworth says, the next wave of consumer tech won’t run on taps and swipes—it’ll run on intent. Read more, including a full transcript, here: a16z.com/after-mobile-consumer-tech-andrew-bosworth  [00:00:00] The future of content consumption[00:02:18] Building great products on the backs of tech trends[00:08:24] The evolution of Reality Labs and imagining a post-mobile world[00:11:36] Building a bridge to the post-mobile era[00:15:00] Does AI turn the app model on its head?[00:21:28] Competing on performance and price in the AI era[00:24:27] Open source, Llama, and commoditizing your complements[00:27:49] Risks to the post-mobile vision[00:32:41] Committing to the visionIn our conversation series AI Revolution, we ask industry leaders how they’re harnessing the power of generative AI and steering their companies through the next platform shift. Find more content from our AI Revolution series on www.a16z.com/AIRevolution Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment, digital asset, or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Technology doesn’t grow in isolation—it evolves in waves. Just as mobile, cloud, and social shaped the internet of the past 20 years, so too could crypto, AI, and new hardware usher in an era of the internet that’s pro-innovation, pro-startup, and pro-creator.  Speaking with a16z Growth General Partner David George, a16z crypto Founder and Managing Partner Chris Dixon breaks down his vision for a new internet, from using crypto to decentralize AI infrastructure and kickstart network effects, to why AI will be this era’s native form of media just as film was in the 1930s. He also explores why the internet’s original covenant—where content creators traded free access for search traffic—is breaking today, and how a better internet could introduce entirely new business models for creators.  Right now, we have a choice to make: will the next era of the internet be shaped by a handful of centralized players, or transformed into an open ecosystem where power and control flow to creators across the globe? Read more, including a full transcript, here: https://a16z.com/ai-crypto-internet-chris-dixon/ [00:00:30] How technology evolves [00:02:54] How crypto and AI interact [00:08:39] Breaking the economic pact of the internet [00:12:57] From mobile, social, and cloud to crypto, AI, and hardware [00:14:49] Using crypto to bootstrap network effects [00:16:33] Is AI frosting or sugar? [00:19:57] Come for the tool, stay for the network [00:20:39] Skeuomorphic vs. native technologies [00:26:07] AI as the creative substrate of our era [00:30:11] Balancing supply and demand in AI [00:35:03] What decides consumer adoption of AI? [00:36:05] What is the ideal future state of the internet? In our conversation series AI Revolution, we ask industry leaders how they’re harnessing the power of generative AI and steering their companies through the next platform shift. Find more content from our AI Revolution series on www.a16z.com/AIRevolution. Chris Dixon’s book is now available in paperback at readwriteown.com. 

Anduril reimagined how startups can build software and hardware for the defense sector. Now, they're using AI to reimagine modern warfare.  Speaking with a16z Growth General Partner David George, Anduril cofounder and CEO Brian Schimpf discusses how AI helps humans make better strategic decisions by sorting through the enormous amount of data collected from modern battlefields. Brian also discusses navigating the US government’s complex procurement processes, using commercial technologies to kickstart their own product development, and the growing opportunities for startups in defense. Throughout, Brian offers a deep dive into the intersection of technology, geopolitics, and the future of defense.  [00:00:19] Anduril and the rise of defense tech[00:03:27] The state of AI in warfare[00:06:02] The role of AI in decisionmaking[00:09:36] The deterrence value of AI[00:11:05] How automated can warfare become?[00:14:51] How to sell to the Department of Defense[00:18:25] Improving the procurement process[00:21:23] The urgency for improving R&D cycles[00:25:16] Driving down costs and speeding innovation[00:30:26] Project Warp Speed for defense[00:31:30] The perception and reality of defense startupsRead more, including a full transcript, here: https://a16z.com/how-ai-is-changing-w... In our conversation series AI Revolution, we ask industry leaders how they’re harnessing the power of generative AI and steering their companies through the next platform shift. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.  Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

How does a company as massive as Mastercard decide where to deploy AI? Instead of centralizing every AI initiative, Mastercard operates under a “hub and spoke” model — balancing centralized AI leadership with decentralized innovation across business units. In this episode, a16z Partner Marc Andrusko chats with Mastercard’s Chief AI and Data Officer Greg Ulrich about Mastercard’s long history of using AI, the opportunities (and potential risks) associated with integrating generative AI into fraud detection, determining what tech to employ based on use cases, and the best advice he’s ever gotten. “In the Vault” is a podcast series by the a16z Fintech team, where we sit down with the most influential figures in financial services to explore key trends impacting the industry and the innovations that will shape our future.   Resources: Find "In The Vault" on a16z.com: https://a16z.com/podcasts/in-the-vault/   Find more about a16z's vision for the future of fintech: https://a16z.com/banking-on-ai/ Find Marc Andrusko on X: https://x.com/mandrusko1 Find Greg Ulrich on LinkedIn: https://www.linkedin.com/in/gregu/ Find a16z on X: https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe to the a16z Fintech newsletter: https://info.a16z.com/newsletters-fintech.html

Most financial institutions still bank on software built before the internet, but Jack Henry's CTO, Ben Metz, is leading a quiet revolution to change that. Speaking with a16z General Partner Angela Strange, Metz shares how banks’ historical tech infrastructure and regulatory obstacles have stymied innovation—and how Jack Henry is helping them overcome these challenges. Metz outlines actionable ways startup founders can help smaller community banks leverage artificial intelligence and cloud computing, reshaping the industry at large.  Chapter Breakdown: 0:47   Backstory  2:15   Community banks and historical infrastructure  4:30   Pre-internet banking & software realities   6:45   Challenges of scaling historical banking tech 8:30   Building software & COBOL 12:15 Dissecting core banking systems  15:40 How regulatory hurdles impact innovation 18:30 Mobile banking and market shiftsT 22:45 Integrating AI into banking's foundation  25:30 Digital service core to banking  28:15 Where AI will be integrated first 31:20 Advice for fintech founders  34:45 Building a data platform to enable innovation  38:20 Working together: banking & tech startups

a16z Partner Seema Amble talks with MongoDB and Viam co-founder Eliot Horowitz about building sustainable open source software tools. From challenging Oracle to building the de facto cloud-based database management tool, Horowitz outlines MongoDB’s early go-to-market strategies, approach to community building, and enterprise sales motion. This episode provides detailed tips on creating solutions for the developer community, building trust amongst enterprises, and successfully scaling a business supported by the open source community.     01:18-03:42 Why open source is a strategic business decision  3:42:6:03 Product development strategy + making developers’ lives easier 6:03-08:24 MongoDB strategy of building community through meetups 08:24-10:49 The five-second rule for developer products 10:49-13:09 How MongoDB used meetups to fuel growth 13:09-15:35 The importance of getting people excited about your product 15:35-19:29 MongoDB’s enterprise sales strategy   19:28-20:26 MongoDB’s recruiting strategy  20:26-25:12 Open source customers vs. users, adoption patterns  25:12-27:35 The evolution of enterprise deals and building trust through demos 27:35-32:23 Product communication strategies and tactics  32:23-39:37 Managing customers and building long-term relationships 39:37-40:16 Outro

a16z Partner Seema Amble connects with Zapier co-founder Wade Foster about the company’s founding and GTM success utilizing a product-led growth (PLG) strategy. Chock-full of actionable insights, this episode explores Zapier’s product strategy, customer experience, and how the team built a sustainable growth engine that enabled them to reach profitability within three years. Foster also provides valuable guidance on brand strategy and how creating an unconventional “weird” brand helped Zapier differentiate from competitors. 1:15-2:05      Zapier's origin story 2:05-3:13      Initial product idea 3:13-5:06      Finding product-market fit and YC 5:06-7:43      How Zapier found their early customers 7:43-10:15    Strategic approach to identifying services to integrate 10:15-13:28  Identifying customer needs and optimizing onboarding 13:28-16:10  Developing a scalable customer acquisition strategy 16:10-19:07  Guidance on building a successful self-serve product  19:07:23:52  Early pricing experiments and brand evolution 23:53-27:04  Early hiring strategy  27:04-29:59  Reflecting on Zapier’s brand identity and product strategy 29:59-31:19  Advice for founders regarding customer acquisition and GTM 31:19-31:59  Outro Please note that the content here is for informational purposes only; should not be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see  a16z.com/disclosures .

In this episode, a16z Partner Seema Amble chats with Tomer London, co-founder of Gusto, about establishing product-market fit and product discovery. London shares how Gusto, now valued at ~$10 billion with 300,000+ customers, identified early customers who could provide valuable feedback that helped the team optimize the self-service product experience. The conversation explores Gusto's approach to product development, as well as managing and incorporating customer feedback while maintaining a clear product vision. 1:18-3:14   Gusto’s founding story  3:14- 4:56  Solidifying a GTM sales strategy  4:56-10:03 Identifying early customers and perfecting the sales pitch 10:03-12:45 Working with customers to optimize the product UX 12:45-14:31 Engendering trust and finding success with accountants  14:31-16:41 The role accountants planned in Gusto’s success 16:41-19:34 Creating a feedback funnel and balancing product vision 19:34-22:38 Self-service strategy and measuring success 22:38- 23:45 Refining the UX at scale  23:45-25:45 Identifying real-world use cases to inform product strategy 25:45-29:52 GTM learnings and advice 29:52-30:05 Outro Please note that the content here is for informational purposes only; should not be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

High-performance compute is the bedrock of generative AI, and if there’s anyone who knows about high-performance chips, it’s AMD CEO Lisa Su. In this wide-ranging conversation with a16z Operating Partner Bob Swan—himself formerly CEO of Intel—Lisa lays out her vision for the evolution of compute within the AI ecosystem, touching not only on raw power and the continuation of Moore’s Law, but also how AMD will support “the right compute for each form factor” for a wider ranges of real-world gen AI use cases. Lisa also shares her perspective on the state of chip manufacturing, how AMD matches their R&D cycles to fast-moving industries, and how partnerships build strong ecosystems.  Read more, including a full transcript, here: https://a16z.com/how-to-build-ai-ecos...  Time stamps: [00:01:37] Lisa's career in compute [00:04:48] Compute in the genAI era [00:09:39] High performance or multimodal? [00:10:47] Making the genAI ecosystem open [00:14:16] The chip supply chain [00:17:53] Resiliency and the CHIPS Act [00:20:54] How AMD balances long development cycles with short term innovation [00:24:48] Learnings from the hyperscaler market [00:26:54] What being fabless means for AMD [00:31:24] Lisa's advice for startup founders Find more content from our AI Revolution series on www.a16z.com/AIRevolution.  Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Finding and backing companies that can reach escape velocity is the name of the game over here at a16z Growth—but picking those winners is far from easy. David George, head of the a16z Growth fund, sat down with the I/O podcast to discuss his mental models for growth-stage investing, what it really takes to go public, where AI is today and where it’s headed, and more.  [00:03:19] What makes Andreessen Horowitz different [00:08:29] David's mental model for investing [00:18:23] Focusing on inputs, not outputs [00:26:52] What constitutes a growth company? [00:29:14] David's three investing frameworks [00:36:45] How to measure the ROI of R&D [00:42:15] What it takes to go public today [00:46:43] AI: market structure and infrastructure vs. application layers To read a transcript of this conversation, click here. 

In this conversation with a16z general partner David George, Scale AI founder and CEO Alexandr Wang discusses the three pillars of AI—models, compute, and data—and how creating abundant data is core to the evolution of gen AI. With Scale’s work across enterprise, automotive, and the public sector, Alex is also building the critical infrastructure that will allow any organization to use their proprietary data to build bespoke gen AI applications. In addition to talking about frontier data, Alex also shares his learnings from the growth of Scale, his approach to leadership, and what he thinks growth-stage founder/CEOs tend to get wrong about hiring.   Read more, including a full transcript, here: https://a16z.com/frontier-data-foundries-alex-wang-scale-ai/ Timestamps:  [00:00:58] How frontier data will change gen AI  [00:08:47] Are big tech companies over-investing in AI?  [00:14:39] Where the best AI businesses will thrive  [00:17:05] How enterprise businesses are approaching AI adoption  [00:19:50] What does the next phase of gen AI products look like?  [00:23:23] Alex's approach to scaling Scale  [00:25:36] The founder fallacy  [00:30:12] MEI and how Alex views talent acquisition

a16z general partner David Haber talks to John Stecher, Chief Technology Officer at Blackstone, where he advances cutting-edge technology, heads up innovation investing, and advises the firm’s investment teams and portfolio companies. The conversation covers how he decides whether to build tech in-house or partner with startups, what qualities he’s looking for in early stage companies, and how he sees AI impacting real estate, credit, energy, and ecommerce. 0:00-1:05 Intro 1:06-3:55 Changes in finance x tech over the past 2 decades 3:56-5:06 Investing in "themes" across asset classes 5:07-7:00 What the CTO role entails  7:01-9:00 "Build it" vs. "buy it": trade-offs 9:01-11:57 Advice for early stage companies 11:58-16:37 Ways Blackstone is incorporating generative AI 16:38-17:46 How AI changes the role of an analyst 17:47-21:04 Gen AI's impact on private equity, real estate, credit, more  21:05-22:54 How Blackstone will evolve over the next five years 22:55-23:26 Outro Please note that the content here is for informational purposes only; should not be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

a16z general partner David Haber and fintech partner Marc Andrusko talk to Tim Karpoff, the Global Head of Strategy at Citi, where he guides the bank’s core focus areas, as well as future investment in emerging tech like AI. The conversation covers the shifting landscape of banking policy and regulation, the increasingly important role startups are playing in partnership with big banks, and where Tim disagrees with the zeitgeist when it comes to the adoption of AI in financial services. 0:00-1:05 Intro 1:06-2:28 Navigating bureaucracy 2:29-4:26 What "chief strategy officer" entails  4:27-8:18 Citi's role in the banking ecosystem 8:19-9:16 Fallout from the 2023 banking crisis 9:17-13:10 Citi's revised risk controls and tech investment 13:11-14:59 How Citi works with startups 15:00-20:00 Citi's future: AI and regulation 20:01-23:33 What people get wrong when it comes to AI  23:33-24:12 Outro Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Waymo co-CEO Dmitri Dolgov joined a16z general partner David George to discuss how Waymo is using genAI to help them build safer, sustainable, and more accessible transportation. In the conversation, Dmitri talks about the potential of embodied AI, the value of simulations and building training data, and his approach to leading a company focused on solving the challenges of building AI that can navigate the real world. [00:01:22] The early days of autonomous vehicles[00:05:27] Layering genAI into traditional AI/ML[00:09:42] The value of simulation[00:15:56] The hard part about integrating AI in autonomous systems[00:22:45] AI in the real world[00:28:47] Where does Waymo go from here?[00:37:21] Dmitri's learnings from hard problemsThis conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.