What each issue covers

One signal. Researched.
Applied.

Positioned is not a roundup. Each monthly issue takes one labour-market or AI-and-work signal, examines the evidence, maps it to the Career Intelligence Framework, and explains what it means for professionals navigating the shift.

Labour market intelligence
What the data shows about AI exposure, skills demand, and role change — per field, not in the abstract
Sources: Lightcast, WEF, Anthropic Economic Index, BLS, Stats SA
Framework application
How each signal maps to one or more of the six Career Intelligence pillars — and what it implies for development
Grounded in the CI Framework, not generic career advice
What to do with it
Concrete next steps — whether you're an individual professional, a team leader, or a career development practitioner
Actionable without requiring a subscription to any product

Coming in Positioned

The first issues —
what to expect.

These are the topics in the first issues of Positioned. Subscribe to receive each one when it publishes.

What the Anthropic Economic Index actually tells professionals — and what to do with it
The most field-specific AI exposure dataset available. What it says about which tasks are shifting, which capabilities gain value, and how to read it for your specific role — without the hype in either direction.
Coming in Issue 1
The Acemoglu-Restrepo task model — what it tells us about AI and what it doesn't
The most rigorous economic framework for thinking about automation and labour. What it says about task displacement, what it says about complementarity, and what it cannot yet tell us about generative AI's actual impact.
Coming in Issue 2
Why judgment is the capability AI cannot replace — and how to develop it deliberately
Judgment is the residual capability after AI handles legible cognitive work. What it consists of, how it differs from decision-making, and what the research on expert judgment development says about how it is built.
Coming in Issue 3

Guides — live now

Starting points in the
framework.

These four guides are available now — practical entry points into the Career Intelligence Framework for professionals using the Career Scan and Academy.

More guides publish with each Positioned issue. Subscribe above to receive them.

How to read your Career Scan results
What each pillar score means, what a low score implies about your development path, and what to do with the report in practice.
Start with the Career Scan →
Choosing the right Academy series for your field
23 professional fields, 140 courses. How to identify which series addresses the pillars most relevant to your AI exposure level and career stage.
Browse the Academy →
What the Judgment Lab is actually testing
The eight capabilities Judgment Lab simulations are designed to surface — and why they become more valuable as AI does more of the legible cognitive work.
Judgment Lab overview →
The CI Framework in 10 minutes
A fast introduction to the six-pillar Career Intelligence Framework — what it measures and how it differs from skills frameworks and competency models.
Read the framework →