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Cloudflare Needs 100M TPS from Crypto to Fix the Internet | CEO Matthew Prince

The internet is about to be flooded by machines, and Matthew Prince thinks the old business model is not ready. The Cloudflare co-founder and CEO joins Bankless to explain why AI agent traffic could overtake human traffic by 2027, how crawlers are changing the economics of content, why ads and subsc

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Episode Summary

Executive Summary: Matthew Prince argues the internet is entering a major transition: AI agents will soon generate more traffic than humans, but the bigger crisis is economic, not technical. As AI answer engines strip-mine content without sending traffic back, ad and subscription models weaken. His proposed fix is content control plus ultra-low-cost payments (e.g. X402/stablecoins) so creators and infrastructure providers are compensated at web scale.

Main Topics: AI agents will overtake human traffic: Prince says bot/agent traffic is growing fast enough that AI-driven requests will exceed human traffic in early 2027, and that the internet can technically absorb it but needs a new economic model. Cloudflare’s role as internet infrastructure and security layer: He explains Cloudflare as a cloud-based firewall/immune system for the web that now also handles DDoS protection, registrar services, VPN, and developer tooling for a large share of the internet. Why the ad-based web is breaking down: The conversation argues that traffic-based monetization incentivized rage bait, shallow content, and platform centralization, and that AI answer engines accelerate the collapse by keeping users off original sites. AI answer engines and 'strip mining' content: Prince describes Google, ChatGPT, Claude, and similar tools as answer engines that crawl and summarize web content, reducing clicks, ad impressions, and publisher revenue while still relying on the original content. A new business model: pay-per-crawl and micropayments: He advocates a system where AI companies and/or agents pay fractions of a cent for access to content using standards like X402 and stablecoin rails, allowing creators to be paid at massive scale. Risks of centralization, inequality, and small-business harm: Prince warns the new AI economy could deepen the divide between haves and have-nots, concentrate power in a few AI firms, and disadvantage small businesses unless pricing and access are designed fairly. Content independence and creator control: Cloudflare’s 'Content Independence Day' and blocking AI crawlers by default are framed as giving publishers control over who can access their content, while still allowing opt-in access for creators who want distribution.

Key Arguments: AI traffic is rising so quickly that bot traffic is expected to exceed human traffic in the first half of 2027. Technically, the internet can handle the surge; the real challenge is who pays for servers, infrastructure, and content creation. Ads and subscriptions are breaking because AI agents do not click ads and can reuse subscription content without sending traffic back. Traffic is a poor proxy for value; it rewards rage bait and cheap content rather than knowledge creation. AI companies need fresh, original content to stay competitive, so they have an incentive to pay creators if a standardized market exists. A fair future likely requires content control tools, industry-wide payment standards, and scalable stablecoin rails for microtransactions. The likely end state is not one AI winner but many differentiated AI products, each with unique data, specialties, and compensation relationships with creators. Local, original, and highly specific journalism may become more valuable than generic national coverage because it is uniquely useful to AI systems. Microtransactions should be tiny for users and meaningful in aggregate for creators; the costs must be low enough to work at internet scale. The model must avoid entrenching giant incumbents by pricing access as a percentage of revenue or by another scale-aware mechanism.

Data Points: Cloudflare internet share: roughly 20% of the world's websites - Matthew Prince describes Cloudflare as sitting between the internet and a large fraction of websites Cloudflare scale: about $70 billion company - Introduced in the opening by the host Bot traffic crossover timing: first half of 2027 - Prince’s updated estimate for when AI bot traffic will exceed human traffic Internet traffic spike during COVID: internet traffic doubled over two weeks - Used as a precedent for the network surviving massive demand shocks Daily reach through Cloudflare: 6 billion people per month - Prince says essentially everyone online passes through Cloudflare at some point each month Cloudflare request volume: 500 million requests per second - Current load flowing through Cloudflare’s network Monetizable request share: 1% to 10% - Prince estimates this portion of requests could be monetized Potential monetizable throughput: 5 million to 50 million transactions per second - Derived from Cloudflare’s request volume and monetizable share Best blockchain throughput seen: 2 transactions per second (highest seen in their discussion) - Prince says no blockchain currently supports the scale required Google traffic advantage: Google sees 4x to 22x more pages than competitors - He claims Google sees more web pages than OpenAI, Microsoft, Anthropic, and xAI OpenAI vs Google: Google sees 4 pages for every 1 page OpenAI sees - Used to illustrate Google’s data advantage Microsoft vs Google: Google sees 5 pages for every 1 page Microsoft sees - Used to illustrate Google’s data advantage Anthropic vs Google: Google sees 6 pages for every 1 page Anthropic sees - Used to illustrate Google’s data advantage xAI vs Google: Google sees 22 pages for every 1 page xAI sees - Used to illustrate Google’s data advantage Traffic recovery difficulty: 20x harder with Google, 1,500x harder with OpenAI, 60,000x harder with Anthropic - He uses these ratios to describe the decline in referral traffic to publishers Park Record voter turnout before: 23% - Before Prince and his wife bought the local paper Park Record voter turnout after: 63% - Last off-cycle election after improved coverage Spotify creator payout example: 40 million euros a year - Prince cites Daniel Ek saying top creators can earn this much from niche queries YouTube compensation model: number one platform in terms of creator compensation - Used as a precedent for a better creator economy Subscription threshold for AI use: $1,000+ per year - Prince says he will likely spend this much on a helpful agent Google ad revenue per US user: about $600 per US user - Compared with expected AI subscription spend Meta ad revenue per US user: about $250-$300 per US user - Compared with expected AI subscription spend Cloudflare Content Independence Day: July 1, 2025 - Date of the policy/blog post about blocking AI crawlers by default

Pivotal Quotes: "the first half of 2027 that will cross" — Matthew Prince: His updated forecast for when AI bot traffic exceeds human traffic "AI agents are almost strip mining the web" — Matthew Prince: Describing how answer engines extract value from publisher content without sending traffic back "Utopia's humans get content for free and the robots pay a ton" — Matthew Prince: His vision for a future business model where machines, not humans, bear most content access costs

Implications: If Prince is right, the web shifts from attention economics to machine-paid access, rewarding original knowledge and local reporting. But without careful design, AI may deepen inequality and concentrate power in a few platforms.

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