Analysis and commentary on AI, data, and engineering.
Career
Not a leap of faith — a rational response to a tech market that split in two. My concrete, runway-aware plan to pivot from marketing and ad tech into AI, data, and engineering, in public.
Career
No CS degree? It's an objection, not a wall. A skills-first plan to get into AI: lead with adjacent domain expertise, become the AI champion where you already work, build documented proof, and add only the credentials that actually move the needle.
Career
Yes — but not for the reason bootcamps say. You learn to code in 2026 not to out-type AI, but to build the judgment to direct it and catch its mistakes. Vibe-coding without fundamentals is a career built on sand.
Career
The choice isn't 'become an ML engineer or stay out.' A whole middle tier of AI roles — product, ops, evaluation, AI-augmented marketing, AI champion — rewards domain expertise and AI fluency over raw coding, and they're realistic first targets for a pivoter.
Career
The 'AI killed entry-level tech jobs' story is half-true and dangerously misleading. Generalist-junior roles shrank while AI-adjacent roles grew. The strategic move for a career changer is to skip the contracting lane entirely.
Career
A marketing and ad-tech career isn't a deficit to overcome — it's a moat. The experimentation and business-value instincts it builds are exactly what makes AI and data work valuable, and what pure CS grads often lack.