Editor's Synopsis
Sriram Krishnan shares his perspective on AI timelines discussions, noting that conversations about the next 24 months tend to focus heavily on infrastructure/power capacity and algorithmic breakthroughs such as AI researchers. He argues that these discussions under-price the effort required to actually diffuse AI into enterprises and real-world adoption.
This observation highlights an important gap in how the tech industry thinks about AI progress — the difference between raw capability advances and the practical, often slower work of enterprise integration and deployment. Krishnan suggests that the bottleneck for AI impact may be less about technical breakthroughs and more about the complex process of getting organizations to effectively adopt and use AI tools.