a16z Podcast

• Ben Horowitz: Why Hesitation is a CEO’s Worst Enemy

  In this conversation from Lenny’s Podcast, Ben Horowitz joins Lenny to discuss the psychological muscle every founder needs, why hesitation can be fatal for CEOs, when it’s time to replace a founder, and how to normalize failure while building confidence. They also explore the Databricks founding story, investing in Adam Neumann after WeWork, whether AI is in a bubble, where the real opportunities lie, and Ben’s work with the Paid in Full Foundation supporting hip-hop pioneers. The result is a candid look at leadership, product management, and what it takes to build enduring companies. Timecodes: 00:00 Introduction 00:22 The Psychology of Leadership & Decision-Making02:41 Leadership lessons from Shaka Senghor07.56 Struggle, Pain, and Growth as a CEO 10:15 Running toward fear and why hesitation kills companies19:35 Who shouldn’t start a company22:36 The Databricks story: thinking bigger24:54 Managerial leverage and CEO psychology28:06 When founders should be replaced as CEOs31:20 Normalizing failure for CEOs37:57 Counterintuitive lessons about building companies42:31 “Good Product Manager/Bad Product Manager”48:21 Product managers as leaders51:16 Why a16z invested in Adam Neumann after WeWork56:23 Is AI in a bubble?01:02:43 The biggest opportunities in AI01:12:51 Why U.S. leadership in AI matters01:18:53 The Paid in Full Foundation for hip-hop pioneers01:23:18 Lightning round: book recommendations, products, and life mottos Resources: Find Ben on X: https://x.com/bhorowitzFind Ben on LinkedIn: https://www.linkedin.com/in/behorowitz/Watch more of Lenny’s Podcast: https://www.youtube.com/@LennysPodcastCheck out Lenny’s newsletter here: https://www.lennysnewsletter.com Stay Updated: Find a16z on X: https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX?si=3E8B3qT9TyiwAHJ7JnaKbgListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://twitter.com/eriktorenbergPlease 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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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.

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• Inside the $13T Mortgage Machine

  The $13T U.S. mortgage market serves 50M homeowners but still runs on decades-old software. In this episode, a16z GP Angela Strange hosts Tim Mayopoulos (ex-CEO of Fannie Mae and ex-president of Blend), Mike Yu (co-founder and CEO of Vesta), and Andrew Wang (co-founder and CEO of Valon) to unpack why standardization and regulation slow change, and how modern loan-origination and servicing platforms, cleaner data, and AI can cut costs, boost transparency, and reduce errors. They also discuss policy levers that could speed innovation and what a true one-tap mortgage could look like. Timecodes: 00:00 Introduction 00:59 The Scale and Structure of the US Mortgage Market01:33 Why Mortgage Tech is Slow to Change02:00 Challenges of Standardization and Regulation03:41 The Human Side of Home Buying07:43 Old Software and Its Impact on Homeowners11:16 Data Transparency and Capital Markets13:17 Building New Mortgage Infrastructure: LOS and Servicing16:22 Operational Challenges and Opportunities in Servicing22:04 Driving Digital Adoption at Fannie Mae25:15 Modernizing Data and Appraisals28:27 Core Replacement vs. Wrappers: Tech Strategies35:29 AI in Mortgage: Today and Tomorrow40:42 AI, Regulation, and the Future of Compliance43:54 Advice for Lenders Preparing for an AI Future47:49 Visions for the Future of Mortgages Resources: Find Angela on X: https://x.com/astrangeFind Tim on LinkedIn: https://www.linkedin.com/in/timothy-j-mayopoulos-56972a45/Find Andrew on LinkedIn: https://www.linkedin.com/in/wangandrewd/Find Mike on LinkedIn: https://www.linkedin.com/in/mikeyu1/ Stay Updated: Find a16z on X: https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX?si=3E8B3qT9TyiwAHJ7JnaKbgListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://twitter.com/eriktorenbergPlease 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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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.

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• Chris Dixon on How to Build Networks, Movements, and AI-Native Products

  Why do some consumer products explode into networks that reshape the internet, while others fade away?Today on the podcast, a16z general partners Anish Acharya and Chris Dixon take on that question. Anish invests in AI-native consumer products and the next wave of consumer tech. Chris is best known for his work in Web3 and network economies, and he’s also led some of a16z’s biggest consumer bets.Together, they cover the history and power of consumer networks, the exponential forces that shape how they grow, and what it all means for founders building in the age of AI. Timecodes:00:00 Introduction 00:43 The Power of Networks in Tech02:19 Moore’s Law, Composability, and Network Effects06:39 Building Networks: Tools vs. Networks10:49 Brand, Pricing, and Consumer Software Trends14:33 Movements, Communities, and Niche Markets20:02 Decentralization, AI, and the Open Web24:45 Platform Shifts and the Idea Maze29:55 Native vs. Skeuomorphic Technologies36:14 Open Source, Policy, and the Future of AI42:03 Closing Thoughts & Outro Resources: Find Chris on X: https://x.com/cdixonFind Anish on X: https://x.com/illscience Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://twitter.com/eriktorenbergPlease 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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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.

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• Mark Cuban on the NBA, Cost Plus Drugs, and How to Fix Politics

  What happens when AI collides with salesmanship, streaming-era sports, and healthcare?In this episode, Erik Torenberg is joined by Mark Cuban, entrepreneur, Dallas Mavericks co-owner, and founder of Cost Plus Drugs.Topics include fiery group chats and how dissent sharpens thinking, the sales playbook of modern politics, and concrete fixes for U.S. healthcare like ending PBM opacity, publishing real prices, and government-backed patient financing. Mark also explains how AI is pushing media from “social” to algorithmic, why he expects millions of models, and why ESOPs are an underrated wealth engine. He shares what he’d build today and weighs in on NBA economics under the new collective bargaining agreement.Timecodes: 00:00 Introduction 00:47 Salesmanship, Politics, and Social Media04:05 AI, Algorithms, and the Future of Media06:29 Fragmentation of Social Platforms09:04 Political Messaging & Economic Populism12:05 Wealth, Equity, and Employee Ownership16:39 AI’s Impact on Education and Healthcare21:32 Fixing the US Healthcare System29:39 Entrepreneurship in the Age of AI33:38 Business Success, Sports, and Investments35:32 NBA Economics and Team Building50:44 Personal Priorities & Closing Thoughts Resources: Find Mark on X: https://x.com/mcuban Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease 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. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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.

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• The Little Tech Agenda for AI

  Who’s speaking up for startups in Washington, D.C.?In this episode, Matt Perault (Head of AI Policy, a16z) and Collin McCune (Head of Government Affairs, a16z) unpack the “Little Tech Agenda” for AI- why AI rules should regulate harmful use, not model development; how to keep open source open; the roles of the federal government vs states in regulating AI; and how the U.S. can compete globally without shutting out new founders. Timecodes: 0:00 – Introduction 1:12 – Defining the Little Tech Agenda4:40 – Challenges for Startups vs. Big Tech6:37 – Principles of Smart AI Regulation9:55 – History of AI Policy & Regulatory Fears19:26 – The Role of Open Source and Global Competition23:45 – Motivations Behind Policy Approaches26:40 – Debates on Regulating Use vs. Development35:15 – Federal vs. State Roles in AI Policy39:24 – AI Policy and U.S.–China Competition40:45 – Current Policy Landscape & Action Plans42:47 – Moratoriums, Preemption, and Political Dynamics50:00 – Looking Forward: The Future of AI Policy56:16 – Conclusion & DisclaimersResources: Read the Little Tech Agenda: https://a16z.com/the-little-tech-agenda/Read ‘Regulate AI Use, Not AI Development : https://a16z.com/regulate-ai-use-not-ai-development/Read Martin’s article ‘Base AI Policy on Evidence, Not Existential Angst: https://a16z.com/base-ai-policy-on-evidence-not-existential-angst/Read ‘Setting the Agenda for Global AI Leadership’:https://a16z.com/setting-the-agenda-for-global-ai-leadership-assessing-the-roles-of-congress-and-the-states/Read ‘The Commerce Clause in the Age of AI”: https://a16z.com/the-commerce-clause-in-the-age-of-ai-guardrails-and-opportunities-for-state-legislatures/Find Matt on X: https://x.com/MattPeraultFind Collin on X: https://x.com/Collin_McCune Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg 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.

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