The internet is breaking. So what’s next? with Cloudflare’s Matthew Prince

Summary of The internet is breaking. So what’s next? with Cloudflare’s Matthew Prince

by WaitWhat

34m•March 31, 2026
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Overview of Rapid Response — "The internet is breaking. So what’s next? with Cloudflare’s Matthew Prince"

This episode of Rapid Response (WaitWhat) features Cloudflare CEO and co‑founder Matthew Prince in conversation with host Bob Safian at SXSW. Prince explains how recent geopolitical conflict, AI breakthroughs, and agentic commerce are reshaping the internet’s infrastructure, security, business models, and workplace dynamics. He mixes on‑the‑ground cyber observations (Iranian attacks), strategic views on AI competition (Google vs. newer players), and practical advice for companies and workers facing rapid AI-driven change.

Key takeaways

  • AI is an inflection point: it shifts technologies from optional to foundational and will reconfigure how online products, media, and commerce work.
  • Data wins: as models and chips commoditize, unique access to high‑quality data becomes the main competitive moat for AI companies.
  • Cyber conflict is real-time and evolving: Cloudflare observed a 7x surge in attacks from Iran on Feb 27, then a dramatic drop the next day—likely due to disrupted command-and-control—and a subsequent resurgence. Nation‑state and proxy tactics are increasingly complex.
  • AI amplifies both offense and defense: AI shortens the time from initial compromise to catastrophic damage (days → hours/minutes), but it also enables stronger, always‑on defensive tooling that can flag dangerous changes and improve overall reliability.
  • Workplace disruption is immediate: Prince’s “manual vs electric screwdriver” metaphor summarizes a growing productivity gap — employees who adopt AI can be orders of magnitude more productive; those who refuse risk being left behind, particularly mid‑career professionals.
  • Business model uncertainty: AI changes the internet’s economics (content → summary consumption). Companies and media need new value exchanges (licensing, data marketplaces) to capture value from AI usage.
  • Brand and small business risk: agentic commerce risks consolidating demand toward large platforms unless new reputation/reliability signals and marketplaces exist to surface smaller or niche providers.

Topics discussed

  • Cybersecurity and geopolitics

    • Real-time view of Iranian cyber activity: Feb 27 spike, Feb 28 collapse, later uptick; examples of attacks on firms like Stryker.
    • Nation-states may disguise attacks (e.g., Russia trying to mimic other actors).
    • Debate about whether Iran’s internet cutoffs were self-imposed or the result of external strikes; selective connectivity suggests Iran may have partially shut it down and whitelisted elites.

  • AI and security

    • AI accelerates attackers’ ability to escalate access; examples of third‑party compromises (SalesLoft/Drift → Salesforce exposure).
    • Cloudflare uses ML/AI internally to detect threats earlier; AI can also act as an always‑on “employee” guarding configuration changes.

  • Labor market and organizational strategy

    • “Electric screwdriver” metaphor: dramatic productivity multipliers from AI create both opportunity and displacement.
    • Practical response: retraining, pairing AI‑native interns with senior staff, embracing AI tools for quality and scale (Cloudflare is hiring many interns paired with seniors).

  • Platforms, media, and data economics

    • Google’s data advantage: Google sees many more pages than competitors (Prince cites ~5x vs Bing; OpenAI has less coverage), which matters for model quality.
    • AI companies may evolve toward subscription/marketplace businesses (more like Netflix) and will seek semi‑exclusive data access.
    • Media: properly packaged content (including journalists’ notes, local coverage) could become valuable licensed inputs to AI; local outlets may have new monetization paths.

  • Brands and agentic commerce

    • Agents won’t inherently care about traditional brands; brands need new, verifiable signals (customer satisfaction, returns, delivery reliability) so agents can choose trusted sellers.
    • Small businesses are especially vulnerable unless the ecosystem produces mechanisms for trustworthy discovery.

Notable quotes

  • “Why did Sam and Elon start OpenAI? Because they were terrified that Google was going to run away with the whole game.”
  • “Whoever has the most data wins.”
  • “If you think your job is to argue for manual screwdrivers, you’re a dinosaur.”
  • “We’re fundamentally in the business of trust.” (on Cloudflare’s role)
  • Bot traffic is trending from ~20% today toward ~50% of internet traffic by 2027 (Prince’s projection).

Concrete recommendations and action items

For business leaders

  • Treat AI as strategic infrastructure: adopt useful AI agents where they improve safety, reliability, and productivity (e.g., pre‑commit configuration checks).
  • Invest in workforce transition: pair AI-native hires (interns/juniors) with experienced staff to diffuse skills and reverse mentoring.
  • Protect unique data: build or secure access to proprietary/high‑value datasets that distinguish your product.

For media and content owners

  • Explore licensing/market arrangements with AI companies for not just final content but underlying research/notes and local knowledge.
  • Focus on producing non‑substitutable content — hyper‑local, proprietary reporting, deep research — which will preserve value in an AI-driven distribution model.

For policymakers and platform builders

  • Create marketplaces and governance for fair data access and compensation (to deter monopolistic semi‑exclusive lock‑ins).
  • Encourage reputation signals and cryptographically verifiable metrics so agentic commerce can fairly surface smaller players.

For security teams

  • Accelerate automation and AI‑based defenses to keep pace with faster attacker workflows.
  • Assume nation‑state tactics and asymmetric escalation: prioritize resilience and rapid detection/remediation.

Why it matters

The podcast paints a picture of an internet and economy in transition: AI will compress timelines, concentrate value around data, and change how users discover, buy, and trust online services. That creates huge opportunities for innovation (small teams building transformative products) but also concentrated risks (job dislocation, small business displacement, platform consolidation, and new cyber threats). The balance between those outcomes depends on technical choices, business models, and policy frameworks created in the next few years.

Final note

Matthew Prince is optimistic: he believes abundant opportunity remains for entrepreneurs and creators if ecosystems enable many competing AI companies, reward genuine knowledge advancement, and surface trustworthy providers. But the short-term landscape will be turbulent — organizations must act now to adapt.