Why Most AI Features Fail Adoption
The majority of AI features shipped in 2024-2025 saw minimal adoption. The problem isn't the technology—it's how teams think about the product.

Cristhian Escobar
Austin, Texas
Product & GTM operator bridging engineering, design, and go-to-market execution.
Identifying where AI creates real user value versus where it's a feature looking for a problem. Turning model capabilities into product decisions.
Positioning, launch strategy, and adoption playbooks for AI-powered products. Bridging what engineering builds and what the market needs.
Hands-on with code and architecture. I ship products, not just strategies—from prototype to production, with the team in the trenches.