Inside the collapse of the internet economy (and what comes next)
Azeem Azhar sat down with Matthew Prince, co-founder & CEO of Cloudflare. Matthew is a rare operator with the vantage point to answer a simple question: if agents do the reading, who gets paid? This conversation is a practical map of how AI “answer engines” upend the web’s traffic-funded model – and what could replace it.Chapters: (00:46) The currency of the web is dying (06:08) Google's inflection point (10:08) Why a broken business model might save the internet (14:44) The incentivization of ragebait (20:38) Content scarcity as a solution (24:35) What could a new content business model look like? (28:51) The challenge of pricing information (29:31) How Cloudflare thinks about the creator economy (32:06) Should smaller companies pay less? (34:24) Can markets solve this without Congress? (39:11) How does the agentic web affect content? (43:40) A rare chance to redesign the internet Produced by EPIIPLUS1 Ltd and supermix.io Production and research: Chantal Smith, Hannah Petrovic, Nathan Warren and Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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46:42
Why China builds while America debates, with Dan Wang
In this episode, I spoke with Dan Wang, author of “Breakneck: China’s Quest to Engineer the Future”, shortlisted for the FT & Schroders Business Book of the Year.Dan is one of the most astute observers of China’s technological and industrial development, and his annual letters from Beijing have long been required reading for those seeking to understand the country’s evolving role in the world.We unpacked a bold thesis: China is not merely a competitor in AI and tech, but is re-imagining its entire state apparatus as an engineering state - in contrast to the more “lawyerly” institutions of the US and UK.If you’re interested in AI, energy or geopolitics, this conversation is for you.We covered: (00:47) Why China is an engineering state(03:40) China’s pro-engineering disposition(06:08) The role of market competition in China(08:07) Living through Zero COVID(11:35) What political science terms get wrong(12:58) Characteristics of a lawyerly society(15:23) What Americans misunderstand about China(21:54) Has China produced essential tech?(23:50) The AI divide: China vs. US(27:45) Differences in energy production(32:07) The inherent value of process knowledge(38:34) Is the US developing pro-engineering policies?(44:23) What does it take for countries to compete?Where to find me:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemWhere to find Dan:Website: https://danwang.co/LinkedIn: https://www.linkedin.com/in/danwang15/Twitter/X: https://x.com/danwwangProduction by supermix.io and EPIIPLUS1 Ltd, including Chantal Smith, Marija Gavrilov, Nathan Warren and Hannah Petrovic. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Are we in an AI bubble? (these are the 5 warning signs)
Is AI a bubble? In this episode, I unpack a new five-gauge framework for understanding the biggest question in tech. Drawing on lessons from past manias – railways, telecoms, the dot-com boom – and grounding our analysis in fresh data, we examine economic strain, revenue growth, valuations, and the quality of capital fueling AI’s ascent. This is our effort to cut through hype and fatalism to provide a clear dashboard: where today’s AI build-out looks like a genuine boom, and where early warning signs of bubble dynamics may be emerging. Whether you’re an investor, policymaker, or executive, this framework offers a disciplined way to navigate the noise.Jump to the best parts:(00:29) Echoes of the past (01:31) The 5 gauge framework (01:54) Gauge #1: Investment intensity(03:45) Gauge #2: Monetization level (04:48) Gauge #3: Revenue trajectory (06:23) Gauge #4: Valuation level(07:24) Gauge #5: Quality of capital (10:10) Overall assessmentProduced by EPIIPLUS1 and Supermix. Thanks to my team: Nathan Warren, Hannah Petrovic, Chantal Smith & Marija Gavrilov Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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Why GPT-5 was never going to impress you
GPT-5 was the most advanced AI when it was released, but most people were disappointed. Why? In this episode, I unpack the two key paradoxes that shape how we judge new technology: shifting goalposts and negative space.Timestamps: (0:00) The reaction to GPT-5 (0:40) First paradox (2:55) Second paradox (5:29) Why this matters Dig deeper: https://www.exponentialview.co/p/the-paradox-of-gpt-5 Production by supermix.io and EPIIPLUS1 Ltd, including Chantal Smith, Marija Gavrilov, Nathan Warren and Hannah Petrovic. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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My OpenAI thought experiment: $500B to $1.5T?
Can AI stocks beat Big Tech? In this episode, I discuss OpenAI and its decision to expand a secondary share sale that lets insiders sell about $10.3 billion of stock at roughly a $500 billion valuation. Although skeptical at first, the calculations reveal there is a path for OpenAI to deliver outsized returns.I cover:(0:00) The $500B question (01:11) Why the Nasdaq Index is the benchmark (03:35) Inside the OpenAI-Microsoft deal (05:50) The bull case: OpenAI’s trillion-dollar path (09:33) The AI market explosion (12:39) The bear case: Competition and constraints (17:13) Exploring the models of tomorrow (20:58) The disruption premium (23:21) Where will OpenAI’s revenue come from? (29:14) The final verdict Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
How will the future unfold? What is the impact of AI and other exponential technologies on business & society? Join Azeem Azhar, founder of Exponential View, on his quest to demistify the era of exponential change.
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