Why the AI Bubble Misses Where Startups Actually Win

With models swapping in and out, the startup edge lies in the application layer; vibe coding and infrastructure bets are the actual durable advantages.

Michael SeibelhostHarj TaggarhostGarry TanhostDiana Huhost

Dec 22, 202530mWatch on YouTube ↗

EPISODE INFO

Released: December 22, 2025
Duration: 30m
Channel: Y Combinator
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

2025 was the year AI stopped feeling chaotic and started feeling buildable. In this Lightcone episode, the YC partners break down the surprises of the year, from shifting model dominance to why the real opportunity is moving back to the application layer, and why the next wave of AI startups may be just getting started. 00:00 Intro 00:50 Anthropic models are most preferred in the latest YC batch 05:36 Why aren’t there more AI consumer apps? 07:01 Swapping models in and out is becoming the norm 09:08 The big AI bubble question 14:37 Space as the solve for data centers and energy 17:29 Interest in starting model companies 21:01 Vibe coding became a big category 22:23 AI economy has stabilized 23:38 The AI 2027 piece 25:49 Founders still need to hire teams 29:02 Outro Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs

SPEAKERS

Michael Seibel
host
Harj Taggar
host
Garry Tan
host
Diana Hu
host
Narrator
other

EPISODE SUMMARY

In this episode of Y Combinator, featuring Michael Seibel and Harj Taggar, Why the AI Bubble Misses Where Startups Actually Win explores yC Explores AI Bubble Fears, Model Wars, And Startup Stability The hosts reflect on how the AI ecosystem in 2025–26 has stabilized into clear layers: model providers, infrastructure companies, and application startups, all positioned to capture value. They discuss a sharp shift in YC founders’ preferred LLMs, with Anthropic now edging out OpenAI and Gemini rapidly gaining share, while many teams adopt multi-model orchestration strategies. The conversation tackles whether AI is a bubble, arguing that even if infrastructure is overbuilt, it will mirror the telecom era and benefit future application-layer startups. They also examine hiring, productivity, domain-specific models, and the emergence of smaller, highly profitable teams rather than the fantasy of one-person trillion‑dollar companies—at least for now.

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