The buying rule for your personal AI computer (and how to skip the $5,000 mistake)
AI is making the computer on your desk important again. The question most people have not answered yet is which parts of that should they own.
TL;DR
- AI's resurgence in personal computers presents an opportunity to own a six-layer stack: hardware, runtime, models, memory, applications, and workflows.
- Owning these components ensures data privacy, persistent context across tools, and unmetered inference for experimentation.
- The article details the full architecture, offers three complete builds (knowledge worker, privacy maximalist, local-first developer), and a buying rule.
- A routing map and build plan are provided to classify workflows and design a phased AI stack.
- The trend is to use frontier cloud models as specialists while owning the underlying substrate for personal AI computing.
- The open-weight ecosystem, with models like Llama 4 Scout and Maverick, makes local AI practical.