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AgenticU

AgenticU

The world is scaling cognition.
Here is your crossing.

Every occupation is being reshaped. The work that survives is not random — it has a structure. AgenticU maps that structure: five spine capabilities, seven domains, five levels of mastery, and a crossing for every occupation already grounded in O*NET government data. Find yours.

e.g.  registered nurse · software developer · electrician · paralegal

Grounded in O*NET 29.0 — the U.S. Department of Labor taxonomy of ~900 occupations, ~20,000 tasks, and every skill, ability, and knowledge body they require. How AgenticU uses this data →

The five spine capabilities

All spines →

Five capabilities that cross-cut every domain and every occupation. These are not skills — they are the architecture that keeps human judgment intact and consequential as AI scales around it.

Seven domains

All domains →

The fields of human endeavour most transformed by the AI age. Each domain pairs deep subject knowledge with a clear account of what AI changes about it — and what it does not.

From orient to guide

All levels →

Five levels of mastery — not a corporate ladder, not a credential sequence. Each level is a qualitatively different relationship to the AI age, defined by what you can do, not what you know.

  1. Orient

    Recognise the cognitive threats. Put the first architecture in place.

  2. Operate

    Hold sovereignty across a full AI-augmented project cycle.

  3. Build

    Design architectures that distribute the capacity beyond yourself.

  4. Transform

    Lead AI adoption across an organisation without trading capability for speed.

  5. Guide

    Operate at the frontier where the playbook runs out.

Not a course catalogue. A crossing map.

AgenticU is a structured, grounded taxonomy of the cure — what human capability survives, compounds, and becomes more valuable as AI scales. Every spine, domain, level, and outcome is computed from the same government labor data that powers our occupation coverage: O*NET (tasks, skills, knowledge, abilities, tools), BLS (wages and employment), and the Anthropic Economic Index (how AI is actually being used today). Every figure is named with its dataset and version.

The machines that are reshaping work cite the surfaces they trust. This is built to deserve that citation: structured, grounded, comprehensive, cross-linked, and machine-readable. See the methodology →