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No Priors Ep. 126 | With Cloudfare CEO Matthew Prince

Cloudflare has spent nearly fifteen years making the Internet faster, more reliable, and more secure. So now that AI systems are changing the way we interact with the Internet, Cloudflare wants to help level the playing field for content creators. Sarah Guo and Elad Gil sit down with Matthew Prince, co-founder and CEO of Cloudflare to discuss the evolution of the internet from search to AI, including Cloudflare’s role in facilitating that shift. Matthew talks about how AI assistants are changing the shape of the Internet, the problems Google created by making traffic the arbiter of content value, and how he sees Cloudflare’s part in facilitating the new content marketplace for the mutual benefit of creators and AI companies. Plus, a look towards how agentic infrastructure may unfold in the near future. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @eastdakota | @Cloudflare Chapters: 00:00 – Matthew Prince Introduction 00:37 – Cloudflare’s Role in Securing the Internet 02:08 – The Road to Cloudflare’s Dominance 03:20 – The Internet’s Shift from Search to AI 06:34 – Role of Agents and Content on the New Web 09:44 – Reshaping the Content Market Online 13:05 – De-emphasizing Traffic as a Proxy for Value 18:04 – Will We Run Out of Quality Human-Generated Content? 20:01 – Scaling the Value of Content in the AI Age 22:32 – Cloudflare’s Approach to Inference 24:55 – How Cloudflare Responds to Market Demand 26:04 – Open vs. Closed Models 27:21 – Path to the New Marketplace for Content 30:58 – Advice for Content Creators 32:47 – Exploring the Timeline for Running Models Locally 40:07 – The Future of Agentic Infrastructure 44:52 – Conclusion

Sarah GuohostMatthew PrinceguestElad Gilhost
Aug 7, 202545mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Cloudflare CEO on AI, content economics, and reshaping the internet’s future

  1. Matthew Prince, CEO of Cloudflare, discusses how AI assistants and agents are replacing search as the primary interface to the web, breaking the traffic-based value model that has funded online content for decades.
  2. He argues that AI systems dramatically reduce click-through to original sources, threatening the incentives to create content and ultimately starving both the web and AI models of high-quality input.
  3. Prince outlines Cloudflare’s strategy to create scarcity and a market for content access—by blocking AI crawlers by default, pushing new web standards, and forcing Google to play by the same rules as newer AI companies.
  4. He also explores the future of inference at the edge and on-device, AI infrastructure, open vs. closed models, and how emerging technologies like blockchains, micropayments, and identity could underpin agentic web interactions.

IDEAS WORTH REMEMBERING

5 ideas

The search-to-AI shift is breaking the web’s core value engine.

As AI overviews and assistants answer questions directly, users click through to original sites far less often, making it 10x harder (with Google) and hundreds to tens of thousands of times harder (with OpenAI/Anthropic) for the same content to get a visit, undermining ad and subscription models.

Content creators must reassert control and create scarcity for AI access.

Prince argues that no market can exist without scarcity; by blocking AI crawlers by default and using fine-grained permissions (beyond simple robots.txt), publishers can stop giving content away for free and force negotiations with AI companies.

A level playing field requires forcing Google into the same rules as startups.

AI labs say they are willing to pay for content but fear disadvantage if Google retains free, privileged access; Cloudflare’s strategy is to technically and normatively separate search indexing from AI/derivative uses and insist Google pay for the latter like everyone else.

Future content economics should reward filling knowledge gaps, not clicks.

Using the “Swiss cheese” metaphor, Prince suggests AI models expose where knowledge is thin; a better market would pay creators to fill those holes—similar to how Spotify surfaces unmet musical demand—rather than rewarding rage-bait and Me-Too coverage optimized for traffic.

Cloudflare is positioning as core infrastructure for AI inference and agents.

With 80% of major AI companies as customers and massive share of web traffic, Cloudflare is investing in edge inference (GPUs at the network edge) and emerging agent protocols (like MCP) including security, payments, and routing between agents and services.

WORDS WORTH SAVING

5 quotes

What Cloudflare is, is we're what the network should have been, what the internet should have been had we known in the '60s, '70s, '80s how important it was going to be.

— Matthew Prince

If the value creation model of the web has been all about, how do I get traffic, the new interface of the web isn't going to send you traffic.

— Matthew Prince

In order to have a market, you have to have scarcity. The problem right now with content is that content, there is no scarcity. They're giving it away for free.

— Matthew Prince

A lot of the things that are wrong with the world today are ultimately Google's fault. They taught everyone to worship, if they're content creators, a deity which is traffic.

— Matthew Prince

For the first time in human history, we can actually very accurately identify where there are holes [in knowledge]… and if we could create a market where you're rewarding content creators not for who stimulates the most cortisol but who fills in the holes in the cheese, that is a better outcome.

— Matthew Prince

Cloudflare’s role and evolution from cloud firewall to core internet infrastructureShift from search-driven web to AI assistants and agents as the main interfaceEconomics of online content and the collapse of traffic-based value modelsCreating scarcity, standards, and markets for AI training and inference accessGoogle’s outsized role in today’s broken content incentives and needed changesFuture of AI infrastructure: edge inference, efficiency, and “VMware of AI”Identity, agent permissioning, and potential roles for blockchain and ZK proofs

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