China’s 2030 AI-literacy plan spans schools, universities, vocational education and adult learning. Implementation should separate access, teaching quality and demonstrated stage-appropriate capability.
A Google, DeepMind and MIT study combines 15 million Gemini interactions, 2,600 specialist models and a survey of more than 600 scientists. Capacity planning should follow the bottleneck downstream.
The AI cybersecurity standard is entering publication. Teams can use its threat catalogue now, but should record the risks and actors it does not cover before calling the result complete.
Skills intelligence connects a shared language of skills with evidence about roles, demand, learning order, and change. It goes beyond listing capabilities: the useful output is a decision about what to learn, hire for, build, or stop prioritizing.
This site applies that idea to AI and technical work as a public research project. It is not a commercial workforce platform and does not profile employees.
Read the practical guide →One evidence system, read from four different angles.
426 GenAI and data-science skills assembled from independent research runs and editorial review, placed in a prerequisite graph — what to learn, and in what order.
An indicative editorial assessment of how AI may commoditize, amplify or leave durable parts of work across 78 professional roles, grouped by shared skill patterns.
400 terms that shaped the AI conversation, 2023–2026 — who coined them, which became standards and which stayed hype. 56% of the discourse is still froth.
A periodic assessment of which skills are rising, holding, or fading — the atlas read against the frontier, published as a point-in-time judgment.
Manufacturing capability depends on verified skill, equipment, site, authorisation, recency, and availability—not a generic taxonomy alone.
Matching people to opportunities is not the same as moving talent. A practical guide to release rules, incentives, capacity, evidence, and outcomes.
Evidence stays attached. The atlas preserves source-level research signals, later editorial additions, references, and known gaps instead of flattening them into a single confidence claim.
Read the methodology ↗
