a16z Podcast

The a16z Podcast discusses tech and culture trends, news, and the future – especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This podcast is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!

  1. -2 J

    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-Making 02:41 Leadership lessons from Shaka Senghor 07.56 Struggle, Pain, and Growth as a CEO  10:15 Running toward fear and why hesitation kills companies 19:35 Who shouldn’t start a company 22:36 The Databricks story: thinking bigger 24:54 Managerial leverage and CEO psychology 28:06 When founders should be replaced as CEOs 31:20 Normalizing failure for CEOs 37:57 Counterintuitive lessons about building companies 42:31 “Good Product Manager/Bad Product Manager” 48:21 Product managers as leaders 51:16 Why a16z invested in Adam Neumann after WeWork 56:23 Is AI in a bubble? 01:02:43 The biggest opportunities in AI 01:12:51 Why U.S. leadership in AI matters 01:18:53 The Paid in Full Foundation for hip-hop pioneers 01:23:18 Lightning round: book recommendations, products, and life mottos   Resources:  Find Ben on X: https://x.com/bhorowitz Find Ben on LinkedIn: https://www.linkedin.com/in/behorowitz/ Watch more of Lenny’s Podcast: https://www.youtube.com/@LennysPodcast Check 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=3E8B3qT9TyiwAHJ7JnaKbg Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow 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.

    1 h 36 min
  2. Inside the $13T Mortgage Machine

    -3 J

    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 Market 01:33 Why Mortgage Tech is Slow to Change 02:00 Challenges of Standardization and Regulation 03:41 The Human Side of Home Buying 07:43 Old Software and Its Impact on Homeowners 11:16 Data Transparency and Capital Markets 13:17 Building New Mortgage Infrastructure: LOS and Servicing 16:22 Operational Challenges and Opportunities in Servicing 22:04 Driving Digital Adoption at Fannie Mae 25:15 Modernizing Data and Appraisals 28:27 Core Replacement vs. Wrappers: Tech Strategies 35:29 AI in Mortgage: Today and Tomorrow 40:42 AI, Regulation, and the Future of Compliance 43:54 Advice for Lenders Preparing for an AI Future 47:49 Visions for the Future of Mortgages   Resources:  Find Angela on X: https://x.com/astrange Find 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=3E8B3qT9TyiwAHJ7JnaKbg Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow 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.

    55 min
  3. Chris Dixon on How to Build Networks, Movements, and AI-Native Products

    -4 J

    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 Tech 02:19 Moore’s Law, Composability, and Network Effects 06:39 Building Networks: Tools vs. Networks 10:49 Brand, Pricing, and Consumer Software Trends 14:33 Movements, Communities, and Niche Markets 20:02 Decentralization, AI, and the Open Web 24:45 Platform Shifts and the Idea Maze 29:55 Native vs. Isomorphic Technologies 36:14 Open Source, Policy, and the Future of AI 42:03 Closing Thoughts & Outro   Resources:  Find Chris on X: https://x.com/cdixon Find Anish on X: https://x.com/illscience   Stay Updated:  Let us know what you think: https://ratethispodcast.com/a16z Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow 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.

    43 min
  4. Mark Cuban on the NBA, Cost Plus Drugs, and How to Fix Politics

    -5 J

    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 Media 04:05 AI, Algorithms, and the Future of Media 06:29 Fragmentation of Social Platforms 09:04 Political Messaging & Economic Populism 12:05 Wealth, Equity, and Employee Ownership 16:39 AI’s Impact on Education and Healthcare 21:32 Fixing the US Healthcare System 29:39 Entrepreneurship in the Age of AI 33:38 Business Success, Sports, and Investments 35:32 NBA Economics and Team Building 50:44 Personal Priorities & Closing Thoughts   Resources:  Find Mark on X: https://x.com/mcuban   Stay Updated:  Let us know what you think: https://ratethispodcast.com/a16z Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://x.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.

    1 h 1 min
  5. The Little Tech Agenda for AI

    -6 J

    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 Agenda 4:40 – Challenges for Startups vs. Big Tech 6:37 – Principles of Smart AI Regulation 9:55 – History of AI Policy & Regulatory Fears 19:26 – The Role of Open Source and Global Competition 23:45 – Motivations Behind Policy Approaches 26:40 – Debates on Regulating Use vs. Development 35:15 – Federal vs. State Roles in AI Policy 39:24 – AI Policy and U.S.–China Competition 40:45 – Current Policy Landscape & Action Plans 42:47 – Moratoriums, Preemption, and Political Dynamics 50:00 – Looking Forward: The Future of AI Policy 56:16 – Conclusion & Disclaimers Resources:  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/MattPerault Find Collin on X: https://x.com/Collin_McCune

    57 min
  6. Building APIs for Developers and AI Agents

    6 SEPT.

    Building APIs for Developers and AI Agents

    Stainless founder Alex Rattray joins a16z partner Jennifer Li to talk about the future of APIs, SDKs, and the rise of MCP (Model Context Protocol). Drawing on his experience at Stripe—where he helped redesign API docs and built code-generation systems—Alex explains why the SDK is the API for most developers, and why high-quality, idiomatic libraries are essential not just for humans, but now for AI agents as well. They dive into: The evolution of SDK generation and lessons from building at scale inside Stripe.Why MCP reframes APIs as interfaces for large language models.The challenges of designing tools and docs for both developers and AI agents.How context limits, dynamic tool generation, and documentation shape agent usability.The future of developer platforms in an era where “every company is an API company.”Timecodes:  0:00 – Introduction: APIs as the Dendrites of the Internet 1:49 – Building API Platforms: Lessons from Stripe 3:03 – SDKs: The Developer’s Interface 6:16 – The MCP Model: APIs for AI Agents 9:23 – Designing for LLMs and AI Users 13:08 – Solving Context Window Challenges 16:57 – The Importance of Strongly Typed SDKs 21:07 – The Future of API and Agent Experience 24:45 – Lessons from Leading API Companies 26:14 – Outro and Disclaimers Resources:  Find Alex on X: https://x.com/rattrayalex Find Jennifer on X: https://x.com/JenniferHli Stay Updated:  Let us know what you think: https://ratethispodcast.com/a16z Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://x.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.

    27 min
  7. 5 SEPT.

    How to Be Free: Shaka Senghor, Oprah Winfrey, Ben Horowitz

    Taken from The Oprah Podcast, this special episode brings together Shaka Senghor, a16z cofounder Ben Horowitz, and Oprah Winfrey for a powerful conversation on resilience and transformation. Shaka, a resilience expert, motivational speaker, and bestselling author of Writing My Wrongs, shares his journey from incarceration to redemption along with insights from his new book, How to Be Free. Full of hard-earned wisdom and practical tools, it’s a guide for anyone seeking freedom in their own life. Timecodes:  0:00 Introduction  1:30 Shaka’s Journey: From Prison to Freedom 4:10 The Power of Narrative and Mindset 6:10 Active Journaling & Writing My Wrongs 8:45 Escaping Life’s Hidden Prisons 10:00 The Role of Forgiveness 16:40 Healing Family Relationships 21:00 Unconditional Forgiveness & True Freedom 22:40 Resilience as a Spiritual Principle 24:15 Mentorship & Meeting Ben Horowitz 28:55 Lessons on Success and Failure 30:20 The Meaning of a Pardon 31:50 Life After Prison: Finding Joy in Freedom 32:30 Advice for Listeners: How to Begin Your Own Journey 35:15 Closing Thoughts  Resources:  Find Shaka on X: https://x.com/ShakaSengho Find Ben on X: https://x.com/bhorowitz Find Oprah on Instagram: https://www.instagram.com/oprahpodcast/ Listen to the full podcast: https://open.spotify.com/show/0tEVrfNp92a7lbjDe6GMLI https://podcasts.apple.com/us/podcast/the-oprah-podcast/id1782960381   Stay Updated:  Let us know what you think: https://ratethispodcast.com/a16z Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://x.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.

    37 min
  8. Is Non-Consensus Investing Overrated?

    4 SEPT.

    Is Non-Consensus Investing Overrated?

    Is non-consensus investing overrated—or the secret to venture returns? a16z General Partner Erik Torenberg is joined by Martín Casado (General Partner, a16z) and Leo Polovets (General Partner, Humba Ventures) to unpack the debate that lit up venture Twitter/X: should founders and VCs chase consensus, or run from it? They explore what “consensus” really means in practice, how market efficiency shapes venture outcomes, why most companies fail from indigestion, not starvation, and the risks founders face when they’re too far outside consensus.   Timecodes:  00:00 Introduction  01:04 Defining Consensus and Market Efficiency 06:30 The Role of Hot Rounds and Market Signals 10:25 Founder Perspective: Risks of Non-Consensus 13:19 Investor Perspective: Indigestion vs. Starvation 18:28 Market Cycles & Sector Hype 23:55 The Evolution of Venture Market Efficiency 26:29 Case Studies & Personal Anecdotes 33:02 Fund Size, Ownership, and the Impact on Strategy 51:40 The Future of Venture: Multi-Stage vs. Seed Funds   Resources:  Find Leo on X: https://x.com/lpolovets Find Martin on X: https://x.com/martin_casado   Stay Updated:  Let us know what you think: https://ratethispodcast.com/a16z Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://x.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.

    55 min

À propos

The a16z Podcast discusses tech and culture trends, news, and the future – especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This podcast is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!

Plus de contenus par a16z

Vous aimeriez peut‑être aussi