About AI Briefly
I started AI Briefly because I kept getting the same question from investor friends: “What should I actually make of this?” — about an earnings call, a new model release, an infrastructure announcement. The information was out there. Translating it into something actionable required a background most investors don't have.
I've spent 16 years in technology, the last 11 in AI. In 2022, I led the Google Cloud launch of zero-shot machine translation — 24 new languages on the Cloud Translation API, from a model that had never seen a translation example.
I've operated on both sides of the infrastructure equation. Hyperscaler deployments at Google, where AI infrastructure is built at a scale most companies will never see. Neocloud deployments at CoreWeave, where the economics are rawer and the constraints are real. Most analysts have exposure to one. I've operated on both.
AI Briefly exists to close that gap — deep dives on compute economics, hyperscaler capex, and the infrastructure signals the market hasn't priced in yet.
What AI Briefly Covers
Extended analysis of structural trends: infrastructure economics, software stack value capture, competitive dynamics. The pieces you'd share with your IC.
Who It's For
AI Briefly is written for investors evaluating AI infrastructure — the compute economics, capex cycles, and stack dynamics that determine which companies capture value. The target reader is a portfolio manager or analyst whose mandate touches the space and who needs engineering context to evaluate what they're looking at.
Editorial Philosophy
No hype, no FUD. The AI space manufactures both at scale. I don't.
Practitioner context always. The goal isn't to explain AI to a general audience. It's to give investors the engineering context they need to evaluate claims and compare options.
AI Briefly is for informational purposes only and does not provide investment advice.