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Andreessen Horowitz

The a16z Show 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 show 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

AI is moving from chat to action.

In this episode of Big Ideas 2026, we unpack three shifts shaping what comes next for AI products. The change is not just smarter models, but software itself taking on a new form.

You will hear from Marc Andrusko on the move from prompting to execution, Stephanie Zhang on building machine-legible systems, and Sarah Wang on agent layers that turn intent into outcomes.

Together, these ideas tell a single story. Interfaces shift from chat to action, design shifts from human-first to agent-readable, and work shifts to agentic execution. AI stops being something you ask, and becomes something that does.

 

Resources:

Follow Marc Andrusko on X: https://x.com/mandrusko1

Follow Stephanie Zhang on X: https://x.com/steph_zhang 

Follow Sarah Wang on X: https://x.com/sarahdingwang

Read more all of our 2026 Big Ideas

Part 1: https://a16z.com/newsletter/big-ideas-2026-part-1

Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/

Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/

 

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Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711

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.

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 http://a16z.com/disclosures.

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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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Big Ideas 2026: The Agentic Interface

Fintech went from a full-blown surge to a near standstill in just two years. At its peak, about 25 percent of all venture dollars were pouring into the category. By late 2022, that number had collapsed to almost zero. In this conversation, a16z General Partner David Haber and Plaid cofounder and CEO Zach Perret unpack what actually happened during that cycle and why the market is heating up again.

We explore how the industry moved from the explosive growth of 2020 and 2021 into a deep freeze, and why we are now seeing real momentum return. We also dig into the forces reshaping fintech today: AI’s outsized impact on fraud and underwriting, incumbents finally embracing external software, the renewed importance of deposits, and the rise of embedded finance across entirely new categories.

Zach shares how Plaid has navigated these shifts, what the company is building now, and how he sees the next phase of fintech taking shape.

 

Resources:

Find Zach on X: https://x.com/zachperret

Find David on X: https://x.com/dhaber

 

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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 http://a16z.com/disclosures

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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 Rise, Fall & Reset of The Fintech Industry

In this episode, we’re sharing a conversation with David George, General Partner at a16z on the firm’s growth investing team. David has been involved in backing many of the defining companies of this era and is now investing behind a new wave of AI startups.

This discussion goes deep into how the a16z growth practice operates: how the team hires and develops a “Yankees-level” culture, how investment decisions get made without traditional committees, and how they build long-term relationships with founders years before investing.

A major focus is AI. David talks through how the team is investing across the stack and why he believes this period could create some of the largest companies ever built.

He also walks through the models that guide his thinking: why markets often misprice consistent growth, what makes “pull” businesses so durable, why many important markets become winner-take-all, and what he’s learned from studying exceptional founders — especially the “technical terminators” he’s drawn to.

 

Resources:

Follow Harry Stebbings on X: https://twitter.com/HarryStebbings

Follow David George on X: https://twitter.com/DavidGeorge83

 

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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](http://a16z.com/disclosures.

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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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Do Revenue and Margins Still Matter in AI?

What if America tried to eliminate crime instead of just reacting to it? Not with slogans, but with staffing, technology, and strategy scaled to the problem. 

In this episode, Erik Torenberg speaks with Garrett Langley, founder and CEO of Flock Safety, and Ben Horowitz, cofounder of a16z, about what is happening in the cities that are trying. Flock now works with over 5,000 communities to detect crime, recover missing children, and close cases faster than ever. Ben has been closely involved in Las Vegas, where Flock technology, drones, and community policing have raised clearance rates while reducing use of force. 

They outline what a real national crime-reduction strategy could look like: solving the police staffing crisis, using intelligence to make policing safer, understanding why clearance rates have collapsed, and how public–private partnerships are filling gaps cities cannot. They also tackle the hard questions around privacy, criminal justice failures, and the hidden role of organized crime in everyday offenses. 

Timecodes: 

0:00 — Introduction and the Cost of Crime

1:09 — Technology, Privacy, and Trust in Policing

1:22 — Eliminating Crime: A National Strategy

2:54 — People: Staffing, Culture, and Recruitment

8:45 — Products: Technology in Modern Policing

9:41 — Policy: Accountability and Prosecution

20:11 — Community Policing and Clearance Rates

25:16 — Case Study: Las Vegas and Public-Private Partnerships

32:00 — Criticisms, Privacy, and Trust

35:23 — Economic Mobility, Safety, and Social Impact

36:44 — Reform, Recidivism, and Alternative Approaches

52:14 — Organized Crime and Policy Challenges

54:32 — The Future of Policing: Intelligence and Precision

57:24 — Success Stories and Conclusion

Resources: 

Follow Garrett on X: https://twitter.com/glangley 

Follow Ben on X: https://twitter.com/bhorowitz 

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Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 

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.

Stay Updated:

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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 Crime Crisis In America and How Technology Fixes It

Ryo Lu spent years watching his designs die in meetings. Then he discovered the tool that lets designers ship code at the speed of thought: Cursor, the company where Ryo is now Head of Design. In this episode, a16z General Partner Jennifer Li sits down with Ryo to discuss why "taste" is the wrong framework for understanding the future, why purposeful apps are "selfish," how System 7 holds secrets about AI interfaces, and the radical bet that one codebase can serve everyone if you design the concepts right instead of the buttons.

 

Timecodes:

00:01:45 - Design Becomes Approachable to Everyone

00:02:36 - From Years to Minutes: Product Feedback Loops Collapse

00:07:54 - "Each role used their own tool...their own lingo"

00:13:15 - "If you don't have an opinion, you’ll get AI slop"

00:17:18 - The Lost Art of Being a Complete Builder

00:21:42 - Design Is Not About Aesthetics

00:28:57 - User-Centric vs System-Centric Philosophy

00:34:00 - AI as Universal Interface, Not Chat Box

00:38:42 - "Simplicity is the Biggest Constraint"

00:43:42 - "I Don't Sit in Figma All Day Making Mocks"

00:46:33 - RyoOS: Building A Personal Operating System

00:48:45 - "We've been doing the same thing since 1984"

 

Resources:

Follow Ryo Lu on X: https://x.com/ryolu_

Follow Jennifer Li on X: https://x.com/JenniferHli

Follow Erik Torenberg on X: https://x.com/eriktorenberg

 

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Find a16z on X: https://x.com/a16z

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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.

Stay Updated:

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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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Ryo Lu (Cursor): AI Turns Designers to Developers

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practice

In this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.

Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like.

 

Resources:

Transcript: https://www.dwarkesh.com/p/ilya-sutsk...

Apple Podcasts: https://podcasts.apple.com/us/podcast...

Spotify: https://open.spotify.com/episode/7naO...

 

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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](http://a16z.com/disclosures.

 

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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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Dwarkesh and Ilya Sutskever on What Comes After Scaling

AI is reshaping the tech landscape, but a big question remains: is this just another platform shift, or something closer to electricity or computing in scale and impact? Some industries may be transformed. Others may barely feel it. Tech giants are racing to reorient their strategies, yet most people still struggle to find an everyday use case. That tension tells us something important about where we actually are.

In this episode, technology analyst and former a16z partner Benedict Evans joins General Partner Erik Torenberg to break down what is real, what is hype, and how much history can guide us. They explore bottlenecks in compute, the surprising products that still do not exist, and how companies like Google, Meta, Apple, Amazon, and OpenAI are positioning themselves.

Finally, they look ahead at what would need to happen for AI to one day be considered even more transformative than the internet.

Timestamps: 

0:00 – Introduction 
0:17 – Defining AI and Platform Shifts
1:50 – Patterns in Technology Adoption
6:04 – AI: Hype, Bubbles, and Uncertainty
13:25 – Winners, Losers, and Industry Impact
19:00 – AI Adoption: Use Cases and Bottlenecks
24:00 – Comparisons to Past Tech Waves
32:00 – The Role of Products and Workflows
40:00 – Consumer vs. Enterprise AI
46:00 – Competitive Landscape: Tech Giants & Startups
51:00 – Open Questions & The Future of AI

Resources:

Follow Benedict on LinkedIn: https://www.linkedin.com/in/benedictevans/

 

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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 http://a16z.com/disclosures.

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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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AI Eats the World: Benedict Evans on the Next Platform Shift

This episode is a special replay of David George’s conversation with Harry Stebbings on 20VC. David is a General Partner on a16z’s growth team, and in this discussion he breaks down how he thinks about breakout growth investing: why great business models are now table stakes, where real edge comes from non-consensus views on TAM, and how to underwrite upside in a world of higher prices and increasing competition.

They also dig into the mechanics behind the scenes: unit economics at growth, “pull vs push” products, winner-take-most market structures, and how David decides when to double or triple down on a company. Along the way, they touch on SPACs, the rise of crossover funds, single-trigger decision making, and how David manages fear, pressure, and performance over the long arc of an investing career.

 

Resources:

Learn more about 20VC: https://www.thetwentyminutevc.com/

Watch on YouTube: https://www.youtube.com/@20VC

Follow Harry on X: https://x.com/HarryStebbings

Follow David on X: https://x.com/DavidGeorge83

 

Stay Updated:

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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](http://a16z.com/disclosures.

 

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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 Inside Story of Growth Investing at a16z

Jonathan Swanson has built two rare successes: Thumbtack, the home-services marketplace, and Athena, the fast-growing platform that pairs ambitious people with world-class personal assistants. Today he runs a 4,000-person company, invests on the side, and raises four kids — all by designing his life around leverage.

a16z General Partner, Erik Torenberg, sits down with Jonathan to unpack what that actually looks like. They discuss how elite assistant culture shaped his philosophy, why delegation is a skill most founders never truly learn, and how the combination of humans and AI is redefining personal productivity. Jonathan explains why he believes ambition grows with leverage, not the other way around, and breaks down how he delegates everything from scheduling to search processes to entire life systems.

They also get into the future of work, the rise of machine-generated delegation, the expanding role of chiefs of staff, and how founders can design their time around the few things that matter most. It’s a conversation about work, life, and the systems that allow people to operate at scale.

Timecodes

0:00 – Introduction

1:52 – The power of delegation: from the White House to Thumbtack

03:13 – Human vs. AI assistants: the future of delegation

05:30 – Levels of delegation: from tasks to algorithms

07:31 – Principles of effective delegation

08:50 – Delegation & productivity hacks

10:46 – The future: machine-generated delegation

12:36 – Global talent & leveraging international teams

13:33 – Assistants and financial leverage

14:45 – Company culture across borders

16:18 – Assistants as accountability partners

17:52 – Coaching, feedback, and the human element

19:30 – Goal setting, time management, and prioritization

23:07 – Frameworks for founders: time, energy, and meetings

26:06 – The efficient path vs. the effect path

28:19 – Executive hiring: principles and pitfalls

30:19 – Reference check signals 

33:09 – Principles for company transparency

36:55 – Cofounder relationships & company building

39:19 – Chief of staff vs. executive assistant

40:06 – Learning from high-performers: Lonsdale, Elon, Thiel, etc.

47:10 – Building your universe: org structures and talent networks

52:33 – Managing founder psychology & staying in the game

Resources:

Follow Jonathan on X: https://x.com/swaaanson

Follow our host: https://twitter.com/eriktorenberg

 

Stay Updated:

If you enjoyed this episode, be sure to like, subscribe, and share with your friends!

Find a16z on X: https://twitter.com/a16z

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Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711

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 http://a16z.com/disclosures

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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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How the Best CEOs Delegate

Originally published on the a16z Infra podcast. We're resurfacing it here for our main feed audience.

AI coding is already actively changing how software gets built.

a16z Infra Partners Yoko Li and Guido Appenzeller break down how "agents with environments" are changing the dev loop; why repos and PRs may need new abstractions; and where ROI is showing up first. We also cover token economics for engineering teams, the emerging agent toolbox, and founder opportunities when you treat agents as users, not just tools.

 

Resources:

Follow Yoko on X: https://x.com/stuffyokodraws

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

 

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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 http://a16z.com/disclosures

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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 $3 Trillion AI Coding Opportunity

Optimizely is a superb example of the democratization of software development. You don't need an engineering degree to fire up Optimizely and start testing how design changes on your website -- down to the pixel level -- affect things like time on site, closing sales, navigation, etc. The a/b testing Optimizely offers is just one example of a new wave of tools born of the internet, and designed for how people work, shop, research and entertain themselves online. Andreessen Horowitz's Scott Weiss, who is taking a seat on the Optimizely board following a16z's recent investment, a16z Partner Tom Rikert, and Optimizely co-founder Dan Siroker discuss the next wave of internet tools, where entrepreneurs are headed next, and how virtually anyone can avail themselves of this technical brawn.

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a16z Podcast: Bending Every Pixel to Your Will -- Optimizely and the Next Wave of Internet Tools

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