Blog
Clear writing on AI-career resilience — what it means, how to measure it, and what you can move.
Lowering your AI exposure score is a structured process: read your current graph, identify which skill clusters are driving the exposure, find adjacent lower-exposure capabilities you can build toward, and re-measure. This article explains the loop.
Read articleA résumé condenses your career to a document designed for skimming. A graph CV makes the structure of your work visible — the skills, how they connect, where they came from. This article explains the practical differences and who each format serves.
Read articleOne-shot AI-risk scores are free, quick, and widely available. They are also static snapshots of a generic occupation code — not your specific skill mix, not updated as AI capability changes, and not actionable without more structure. This article explains what they can and cannot tell you.
Read articleAI exposure is a 0–1 measure derived from occupational task overlap with AI capability, not a judgment about your future. This article explains what it captures, where the number comes from, and the practical steps that move it.
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