EconWorks Podcast

EconWorks

Industrial organization insights on antitrust, digital platforms, and competition in ecosystem markets. blog.econworks.com

  1. 8m ago

    Cartels, Episode 5: If Everyone Can Confess First, Why Form a Cartel?

    Leniency programs are supposed to destabilize cartels by rewarding the first participant who comes forward. But that creates an intriguing game-theory puzzle. If every cartel member knows that someone else could confess first, everyone has an incentive to move sooner. Backward induction seems to lead to an extreme prediction: confess immediately—and, therefore, never form the cartel. Reality is different. Cartels still form. This episode examines why. We distinguish cartel detection from deterrence, explain why successfully deterred cartels are largely invisible in the data, and connect leniency to the same problem explored in Episode 4: cartel members have to trust partners who have incentives to betray them. Then we introduce AI. A profit-maximizing AI could consider competing, colluding, cheating, and seeking leniency as alternative strategies. And unlike a human executive, it has no inherent loyalty to its cartel partners. Could AI make cartels more effective—or make the race to betray them even faster? Read the full article and graphic analysis: https://blog.econworks.com/p/cartels-episode-5-the-race-to-confess?r=562wri Explore more visual economics content: https://econworks.com YouTube: https://www.youtube.com/@EconWorks-d3e Substack: https://blog.econworks.com This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit blog.econworks.com/subscribe

    Cartels, Episode 5: If Everyone Can Confess First, Why Form a Cartel?
  2. 1d ago

    Two Vertical AI Deals — But Where Is the Antitrust Harm?

    In this episode of EconWorks we look at two big AI acquisitions—AMD’s deal for World Labs and Nvidia’s deal for Hugging Face. In both cases, chip firms are moving into adjacent parts of the AI stack, but they may be solving completely different economic problems. Nvidia may be buying downstream to drive demand for AI compute. More developers may mean more models, more applications, and eventually more computing demand. Maybe AMD is buying downstream for another reason: to see what future AI workloads will look like and be a stronger competitor in AI compute. The antitrust question is thus not simply whether these transactions are vertical. The key question is what changes when ownership changes. Do the deals expand output? Do they improve products? Do they increase competition? Or do they offer incentives to foreclose rivals, to raise rivals’ costs, or to control an important bottleneck? This episode uses Nvidia-Hugging Face and AMD-World Labs to show why vertical integration itself is not a theory of antitrust harm. Read the full article and graphic analysis: https://blog.econworks.com/p/two-vertical-ai-deals-but-where-is?r=562wri Explore more visual economics content: https://econworks.com YouTube: https://www.youtube.com/@EconWorks-d3e Substack: https://blog.econworks.com This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit blog.econworks.com/subscribe

    Two Vertical AI Deals — But Where Is the Antitrust Harm?
  3. 5d ago

    Why NVIDIA Is Betting $13 Billion on Open AI Models

    NVIDIA sells the computing power behind much of today’s AI boom. OpenAI and Anthropic are major sources of that demand. So why would NVIDIA spend nearly $13 billion acquiring Hugging Face, a platform that helps open models compete with them? This episode uses a simple three-layer AI structure—chips, model development, and developer toolkits—to examine the economics of the deal. Closed-model firms such as OpenAI and Anthropic integrate the model and toolkit layers. NVIDIA and Hugging Face would instead connect the chip layer below to the toolkit layer above, while leaving model development open to many competitors. The valuation provides another clue. NVIDIA is paying roughly 86 times Hugging Face’s reported annualized revenue, far above ordinary software multiples and well above the roughly 15-times multiple implied by the Cursor transaction. Perhaps NVIDIA is buying Hugging Face for reasons other than the revenue Hugging Face earns. It may be buying the additional chip demand—and reduced customer dependence—that a stronger open-model ecosystem can create. Read the full article and graphic analysis: https://blog.econworks.com/p/why-nvidia-wants-openai-to-have-competitors?r=562wri Explore more visual economics content: https://econworks.com YouTube: https://www.youtube.com/@EconWorks-d3e Substack: https://blog.econworks.com This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit blog.econworks.com/subscribe

    Why NVIDIA Is Betting $13 Billion on Open AI Models
  4. Sep 30

    Why NVIDIA Wants OpenAI to Have Competitors

    NVIDIA sells the chips that companies like Anthropic and Open AI use. Now it is spending almost $13 billion to acquire Hugging Face, one of the most important platforms for open AI models. Is NVDIA trying to prop up the competition against OpenAI and Anthropic? The economics are more compelling than just a foreclosure story. In this episode, we examine two forms of vertical integration through the lens of a simplified AI supply chain, consisting of **chips → model development → developer toolkit**. OpenAI and Anthropic package models with their developer tools. Instead, NVIDIA and Hugging Face would combine the chip layer and a common toolkit but keep the model layer open for competition. One telling clue we also look at: NVIDIA is paying about 86 times Hugging Face’s reported annualized revenue vs. about 15 times the annualized revenue for Cursor. That implies that NVIDIA might be buying something that Hugging Face doesn’t directly monetize: a stronger open-model ecosystem that could drive more demand for NVIDIA compute. This leads to a counterintuitive possibility. NVIDIA may want OpenAI and Anthropic to succeed—but it may not want to depend on them. Read the full article and graphic analysis: https://blog.econworks.com/p/why-nvidia-wants-openai-to-have-competitors?r=562wri Explore more visual economics content: https://econworks.com YouTube: https://www.youtube.com/@EconWorks-d3e Substack: https://blog.econworks.com This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit blog.econworks.com/subscribe

    Why NVIDIA Wants OpenAI to Have Competitors

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Industrial organization insights on antitrust, digital platforms, and competition in ecosystem markets. blog.econworks.com