The AI Economy Is Stabilizing

By Y Combinator

Categories: VC, Startup, Design

Summary

The AI economy has stabilized, with a clear model layer, application layer, and infrastructure layer. Founders can now leverage a 'relative playbook' to build AI-native companies and make a lot of money, as the models have incrementally improved without major disruptions.

Key Takeaways

1. The AI economy has stabilized into distinct model, application, and infrastructure layers, providing a clear playbook for founders to build successful AI-native companies.
2. Incremental improvements to AI models have enabled a stable ecosystem, without major disruptive steps that would shake everything up.
3. Founders can leverage a 'relative playbook' to build AI-native companies and make a lot of money, as the industry has matured.
4. The AI economy feels like it has 'settled' after a period of rapid change and uncertainty, providing more stability for startups and the tech ecosystem.
5. The maturation of the AI economy has created distinct layers (model, application, infrastructure) that founders can now navigate to build successful businesses.
6. Founders can now build AI-native companies with confidence, as the industry has stabilized and the path to monetization has become clearer.

Topics

• AI Ecosystem Maturity
• AI Startup Playbook
• AI Model Improvements
• AI Industry Stabilization
• AI Monetization Strategies

Transcript Excerpt

Yeah, I was thinking about things that surprised me in 2025 and I think perhaps the thing that most surprised me is the extent to which I feel like the AI economy stabilized. Like I feel like when we did this episode at the end of 2024, it felt like we were still in the middle of a period of incredibly rapid change where the ground was shifting under our feet and like nobody knew when the other shoe might drop and like what exactly was going to happen with startups and AI and the economy. Now I ...