In this episode I dig into whether ChatGPT might get “Old Navy’d”, a concept that ties together capitalism, business strategy, and the evolving AI landscape. Using a Scott Galloway story about Gap and Old Navy as the jumping-off point, I explore what happens when a cheaper, “good-enough” alternative comes for the market leader. From Alibaba’s Qwen to DeepSeek’s leaner, lower-cost models, this episode unpacks the global economics of AI efficiency, U.S. protectionism, and what it would actually take for consumers, or companies, to switch away from OpenAI. Main Topics Covered The Prof G Markets podcast episode that sparked the idea The origin story of Old Navy and its positioning against Gap Alibaba’s Qwen and DeepSeek’s cheaper AI models Bruce Buchanan’s three-line economic model: perceived value, price, cost Why I think China is unlikely to dethrone OpenAI in the U.S. The “inside job” possibility of a smaller U.S. company creating a 90%-as-good model What could make users actually switch models (price vs. perceived value) The “Netflix effect” and why stagnation kills perceived value The Costco model: keep margins low and values clear Final take: OpenAI probably won’t get Old Navy’d anytime soon, but it should Recent ChatGPT use: Transcript research for this episode Links & Resources for This Episode Watch: How China’s AI Efficiency Could Gut the U.S. Economy – Prof G Markets Subscribe to the ChatGPT Curious Newsletter: The Curious Companion Submit a Question Visit the Website Feeling curious AND generous? Click here to support the podcast.