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Andreessen Horowitz

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!

a16z Podcast

What are real consumers actually doing with AI today?

In this episode, a16z consumer investors Olivia Moore and Justine Moore break down the fifth edition of our Consumer AI 100, a biannual ranking of the most used AI-native web and mobile products across the globe.

 

Timecodes: 

0:00 Introduction

1:45 New Companies & Trends

3:32 Companionship & Creative Tools

4:20 Big Tech on the List: Google’s Impact

6:24 Chinese AI Companies & Global Trends

10:19 Vibecoding: A New Trend

13:40 AI All-Stars: Consistent Top Performers

15:30 Network Effects & Product Experience

17:20 Enterprise Adoption & Prosumer Growth

19:40 Biggest Takeaways

21:09 Grok's debut

22:56 Future predictions

25:14 Closing & Audience Engagement

 

Resources:

Read more about the Top Gen 100: http://a16z.com/100-gen-ai-apps-5/

Find Olivia on X: https://x.com/omooretweets

Find Justine on X: https://x.com/venturetwins

 

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.

The Top 100 Most Used AI Apps in 2025

What exactly is an AI agent, and how will agents change the way we work?

In this episode, a16z general partners Erik Torenberg and Martin Casado sit down with Aaron Levie (CEO, Box) and Steven Sinofsky (a16z board partner; former Microsoft exec) to unpack one of the hottest debates in AI right now.

They cover:

 • Competing definitions of an “agent,” from background tasks to autonomous interns
 • Why today’s agents look less like a single AGI and more like networks of specialized sub-agents
 • The technical challenges of long-running, self-improving systems
 • How agent-driven workflows could reshape coding, productivity, and enterprise software
 • What history — from the early PC era to the rise of the internet — tells us about platform shifts like this one

The conversation moves from deep technical questions to big-picture implications for founders, enterprises, and the future of work.

 

Timecodes: 

0:00 Introduction: The Evolution of AI Agents

0:36 Defining Agency and Autonomy

1:54 Long-Running Agents and Feedback Loops

4:49 Specialization and Task Division in AI

6:20 Human-AI Collaboration and Productivity

6:59 Anthropomorphizing AI and Economic Impact

9:10 Predictions, Progress, and Platform Shifts

11:31 Recursive Self-Improvement and Technical Challenges

13:20 Hallucinations, Verification, and Expert Productivity

16:20 The Role of Experts and Tool Adoption

22:14 Changing Workflows: Agents Reshaping Work Patterns

45:55 Division of Labor, Specialization, and New Roles

48:47 Verticalization, Applied AI, and the Future of Agents

54:44 Platform Competition and the Application Layer

55:29 Closing Thoughts and Takeaways 

 

Resources: 

Find Aaron on X: https://x.com/levie

Find Martin on X: https://x.com/martin_casado

Find Steven on X: https://x.com/stevesi

 

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.

Aaron Levie and Steven Sinofsky on the AI-Worker Future

Erik Torenberg sits down with Ben Horowitz, Cofounder of a16z, for a candid conversation on venture capital, leadership, and the future of innovation. Recorded live at a16z’s Menlo Park offices in 2023, Ben shares practical wisdom and hard-earned lessons on navigating market cycles, building resilient companies, and why culture is a lasting competitive edge.

Timecodes: 

0:00 Introduction 

0:49 Building a Lasting Venture Firm

1:57 Product vs. Investor-Driven Firms

5:17 Evolution of Andreessen Horowitz

8:43 Fund Sizing & Market Opportunity

11:38 Recruiting & Culture at a16z

13:58 Supporting Founders & Firm Mission

14:39 Governance & Firm Structure

17:15 The Future of Venture Capital

20:26 Riding Trends: AI, Web3, and Beyond

27:06 Regulation, Open Source, and Innovation

29:22 LPs, Macro, and Long-Term Strategy

33:25 Advice for the Next Generation

37:15 Tech Optimism & Societal Impact

42:33 Closing Thoughts & Outro

 

Resources: 

Find Ben on X: https://x.com/bhorowitz

Subscribe to Turpentine VC: link.chtbl.com/TurpentineVC

 

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.

Ben Horowitz on How a16z Was Built

Marc Andreessen, cofounder Andreessen Horowitz, joins the Hermitix podcast for a conversation on AI, accelerationism, energy, and the future.

From the thermodynamic roots of effective accelerationism (E/acc) to the cultural cycles of optimism and fear around new technologies, Marc shares why AI is best understood as code, how nuclear debates mirror today’s AI concerns, and what these shifts mean for society and progress.

 

Timecodes:

0:00 Introduction 

0:51 Podcast Overview & Guest Introduction

1:45 Marc Andreessen’s Background

3:30 Technology’s Role in Society

4:44 The Hermitix Question: Influential Thinkers

8:19 AI: Past, Present, and Future

10:57 Superconductors and Technological Breakthroughs

15:53 Optimism, Pessimism, and Stagnation in Technology

22:54 Fear of Technology and Social Order

29:49 Nuclear Power: Promise and Controversy

34:53 AI Regulation and Societal Impact

41:16 Effective Accelerationism Explained

47:19 Thermodynamics, Life, and Human Progress

53:07 Learned Helplessness and the Role of Elites

1:01:08 The Future: 10–50 Years and Beyond

 

Resources:

Marc on X: https://x.com/pmarca

Marc’s Substack: https://pmarca.substack.com/

Become part of the Hermitix community:

On X: https://x.com/Hermitixpodcast

Support: http://patreon.com/hermitix

Find James on X: https://x.com/meta_nomad

 

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.

AI and Accelerationism with Marc Andreessen

Housing and healthcare make up nearly half of household spending, yet both sectors are riddled with inefficiency and rising costs.

In this episode, Erik Torenberg is joined by a16z Growth partner Alex Immerman and Minna Song and Tony Stoyanov, cofounders of EliseAI, to discuss why they’re tackling these critical industries and how AI can transform everything from leasing and maintenance to patient scheduling and compliance.

The conversation covers:

 • Why the U.S. is 5 million housing units short — and how technology can help unlock existing supply
 • How automation can cut waste, reduce labor costs, and improve affordability
 • What fully autonomous buildings might look like, and how that model could extend to healthcare

This is about the costs that touch every household, and the role AI might play in finally bringing them down.

Timecodes: 

0:00 Introduction 

0:28 Why Housing and Healthcare?

1:17 Technology’s Role in Housing

3:39 Housing Affordability & Supply Challenges

5:42 Regulatory and Capital Barriers

8:30 Improving Efficiency in Real Estate

13:05 Automation and the Future of Property Management

18:28 The Human Role in an AI-Driven Industry

20:35 Financial Engineering & Data Bottlenecks

21:51 The Future of Housing: Robotics, Mobility, and Flexibility

25:29 R&D and Technology Adoption in Real Estate

27:09 Addressing Criticisms of PropTech

29:24 Maintenance, Repairs, and AI Solutions

31:44 Expanding from Housing to Healthcare

32:38 Parallels Between Housing and Healthcare

36:41 The Future of Healthcare Operations

39:09 Lessons Learned & Ultimate Vision for EliseAI

40:55 Closing Thought

Resources: 

Link to blog: https://a16z.com/announcement/investing-in-eliseai/

Find Minna on LinkedIn: https://www.linkedin.com/in/minna-song/

Find Tony on LinkedIn: linkedin.com/in/stoyan-tony-stoyanov-07690a53

FInd Alex on X: https://x.com/aleximm

 

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.

Can AI Fix Housing and Healthcare Affordability?

Do tariffs help rebuild American manufacturing or hold it back? 

In this episode, American Compass founder and chief economist Oren Cass sits down with commentator and author Noah Smith and a16z General Partner Erik Torenberg for a lively debate on the future of U.S. industry. 

They discuss the case for tariff-driven re-industrialization versus free-market approaches, the role of allies in trade policy, and what the numbers really show about manufacturing jobs, investment, and output. Along the way, they challenge each other’s assumptions and explore what it would take to actually bring more production back to American soil.

 

Timecodes:

0:00 Introduction & Framing the Debate

1:27 Oren Cass: Economic Philosophy & American Compass

4:02 Manufacturing, Family, and Community

5:00 Free Trade, Comparative Advantage, and Policy

8:30 Tariffs: US vs. China and Historical Context

9:30 Do Tariffs Help US Manufacturing?

15:00 Data, Indicators, and Economic Predictions

22:00 Theory, History, and the Role of Economics

28:00 Trade Deficits, Scale, and Global Competition

38:00 Negotiation, Game Theory, and Policy Tools

46:00 Trade Deficits, Scale, and Global Competition

1:03:23 Negotiating with Allies and the Limits of Tariff Threats

 

Resources: 

Find Oren on X: https://https://x.com/oren_cass

American Compass: https://americancompass.org/

Find Noah on X: https://x.com/noahpinion

Subscribe to Noah’s Substack: https://www.noahpinion.blog/

 

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.

Oren Cass & Noah Smith Debate the True Impact of Tariffs

The AI hardware race is heating up, and NVIDIA is still far ahead. What will it take to close the gap?

In this episode, Dylan Patel (Founder & CEO, SemiAnalysis) joins Erin Price-Wright (General Partner, a16z), Guido Appenzeller (Partner, a16z), and host Erik Torenberg to break down the state of AI chips, data centers, and infrastructure strategy.

We discuss:

 • Why simply copying NVIDIA won’t work, and what it takes to beat them
 • How custom silicon from Google, Amazon, and Meta could reshape the market
 • The economics of AI model launches and the shift toward cost efficiency
 • Infrastructure bottlenecks: power, cooling, and the global supply chain
 • The rise of AI silicon startups and the challenges they face
 • Export controls, China’s AI ambitions, and geopolitics in the chip race
 • Big tech’s next moves: advice for leaders like Jensen Huang, Sundar Pichai, Mark Zuckerberg, and Elon Musk

Resources: 

Find Dylan on X: https://x.com/dylan522p

Find Erin on X: https://x.com/espricewright

Find Guido on X: https://x.com/appenz

Learn more about SemiAnalysis: https://semianalysis.com/dylan-patel/

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.

Dylan Patel: GPT-5, NVIDIA, Intel, Meta, Apple

Genie 3 can generate fully interactive, persistent worlds from just text, in real time.

In this episode, Google DeepMind’s Jack Parker-Holder (Research Scientist) and Shlomi Fruchter (Research Director) join Anjney Midha, Marco Mascorro, and Justine Moore of a16z, with host Erik Torenberg, to discuss how they built it, the breakthrough “special memory” feature, and the future of AI-powered gaming, robotics, and world models.

They share:

 • How Genie 3 generates interactive environments in real time
 • Why its “special memory” feature is such a breakthrough
 • The evolution of generative models and emergent behaviors
 • Instruction following, text adherence, and model comparisons
 • Potential applications in gaming, robotics, simulation, and more
 • What’s next: Genie 4, Genie 5, and the future of world models

 • 

This conversation offers a first-hand look at one of the most advanced world models ever created.

 

Timecodes: 

0:00 Introduction & The Magic of Genie 3

0:41 Real-Time World Generation Breakthroughs

1:22 The Team’s Journey: From Genie 1 to Genie 3

5:03 Interactive Applications & Use Cases

8:03 Special Memory and World Consistency

12:29 Emergent Behaviors and Model Surprises

18:37 Instruction Following and Text Adherence

19:53 Comparing Genie 3 and Other Models

21:25 The Future of World Models & Modality Convergence

27:35 Downstream Applications and Open Questions

31:42 Robotics, Simulation, and Real-World Impact

39:33 Closing Thoughts & Philosophical Reflections

 

Resources:

Find Shlomi on X: https://x.com/shlomifruchter

Find Jack on X: https://x.com/jparkerholder

Find Anjney on X: https://x.com/anjneymidha

Find Justine on X: https://x.com/venturetwins

Find Marco on X: https://x.com/Mascobot

 

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.

Google DeepMind Lead Researchers on Genie 3 & the Future of World-Building

a16z General Partners Martin Casado and Anjney Midha join Erik Torenberg to unpack one of the most dramatic shifts in tech policy in recent memory: the move from “pause AI” to “win the AI race.”

They trace the evolution of U.S. AI policy—from executive orders that chilled innovation, to the recent AI Action Plan that puts scientific progress and open source at the center. The discussion covers how technologists were caught off guard, why open source was wrongly equated to nuclear risk, and what changed the narrative—including China's rapid progress.

The conversation also explores:

 • How and why the AI discourse got captured by doomerism
 • What “marginal risk” really means—and why it matters
 • Why open source AI is not just ideology, but business strategy
 • How government, academia, and industry are realigning after a fractured few years
 • The effect of bad legislation—and what comes next

Whether you're a founder, policymaker, or just trying to make sense of AI's regulatory future, this episode breaks it all down.

Timecodes:

0:00 Introduction & Setting the Stage

0:39 The Shift in AI Regulation Discourse

2:10 Historical Context: Tech Waves & Policy

6:39 The Open Source Debate

13:39 The Chilling Effect & Global Competition

15:00 Changing Sentiments on Open Source

21:06 Open Source as Business Strategy

28:50 The AI Action Plan: Reflections & Critique

32:45 Alignment, Marginal Risk, and Policy

41:30 The Future of AI Regulation & Closing Thoughts

Resources

Find Martin on X: https://x.com/martin_casado

Find Anjney on X: https://x.com/anjneymidha

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.

The State of American AI Policy: From ‘Pause AI’ to ‘Build’

We’re sharing an episode from ChinaTalk that dives into one of the biggest recent reversals in U.S. tech policy.

The U.S. banned Nvidia’s H20 AI chips to China in April. Now, just months later, they’re being sold—with a 15% export fee. What happened? Why the reversal? And what does it mean for the future of AI competition between the U.S. and China?

Chris Miller—author of Chip War—and Lennart Heim from RAND join ChinaTalk host Jordan Schneider to unpack the policy flip-flop, why China is publicly downplaying interest in the H20, and why high-bandwidth memory and semiconductor manufacturing tools may be even more important than the Nvidia chips themselves.

Resources:

Listen to more from ChinaTalk: https://link.chtbl.com/chinatalk

Check out the Horizon Fellowship to work in DC on emerging tech policy issues like AI chip export controls: https://horizonpublicservice.org/applications-open-for-2026-horizon-fellowship-cohort/

Outro Music: It's a Shame, The Spinners, 1970

H20s to China + 15% with Chris Miller and Lennart Heim

VCs wouldn't fund Salesforce ("that obviously won't work") when Marc Benioff began. With the cloud a growing part of practically every company, government, organization, and people's lives, a lot's changed since 1999. But what's next? Do enterprise CEOs get (mobile) religion? [Answer: not yet. Benioff thinks there's a ton of opportunity ahead there.] What's happening with international growth, when countries want their own clouds and 90% of enterprise software is bought in just 7 countries?

a16z Podcast: Where the Growth in Cloud and Enterprise Software Really Is (with Marc Benioff)

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