49:29How AI Is Changing Enterprise
From Y Combinator · Published Jul 20, 2025 · Watch on YouTube
TL;DR
The video argues that the real value in enterprise AI lies not in the models themselves but in the software stack built on top—the workflow, proprietary business logic, and data integration that deliver a complete outcome to customers.
Key insights
- The “ChatGPT wrapper” critique is mostly wrong; the value is in the software, workflow, proprietary logic, and customer data around the model, not the tokens themselves.
- Enterprises buy outcomes (e.g., customer support resolution, contract workflow automation), not models; the underlying model should be abstracted away from the customer value proposition.
- The cost of intelligence tokens will fall to the cost of bare metal (GPU) plus a hyperscaler margin, because open-source alternatives (Meta, DeepSeek) force frontier model providers to match pricing.
Want the full analysis - every claim cited to the second it was said?
This page only shows a teaser. Sign up to chat with the complete, cited breakdown of "How AI Is Changing Enterprise".