Findings

Field notes on AI, infrastructure, and the systems underneath the hype.

Longer arguments and research-backed reflections from the practical side of AI: what the tools promise, what the infrastructure costs, and how to think clearly about the tradeoffs.

Latest Findings posts

These are longer pieces than the AI Dictionary: part analysis, part systems thinking, part practical framing for the conversations people are already having about AI, automation, visibility, and technology.

The Data Center Conversation We Should Be Having

June 2, 2026

Data centers are a real environmental concern, but the useful conversation is how to build compute infrastructure responsibly as AI and connected technology keep scaling.