
A structural reading of your career under AI compression.
Not a personality test. Not a coaching tool. Not a prediction engine. A deterministic, formula-based model that reads your structural positioning and tells you where the leverage sits.
The thing that compounds is structural, not surface.
Career advice has always been about skills, qualifications, and effort. Useful, but increasingly insufficient. Under AI compression, two people with identical CVs can have radically different trajectories because they sit in radically different structural positions.
Structural positioning means: how much scope you own, how your income scales, how your function maps to where capital is flowing, how integrated you are with AI-assisted workflows, and how clearly your role connects to outcomes.
Those five variables determine whether your career compounds or compresses over the next decade. AI Career Index makes them measurable.
- Years of experience
- Job title and seniority
- Skill checklist
- Quals and certifications
- Industry trends
- +Authority and scope owned
- +Income leverage and scaling
- +Function-to-capital alignment
- +AI workflow integration
- +Strategic clarity
From input to a usable structural reading in fifteen minutes.
The whole system is four steps. The first three happen inside one session; the fourth is what makes it useful over time.
Start the assessment
Around 10 minutes. ~35 questions across the five structural dimensions. No personality riddles, no open-ended journaling.
The engine scores you
A deterministic weighted formula produces your Index, dimension scores, archetype, and risk band. Run it twice with the same inputs and you get the same result.
Receive your reading
A structural intelligence report covering your positioning, primary constraint, 24-month projection, and a 6-month action plan.
Track over time
Re-run the assessment each quarter. Watch the deltas. The same engine, the same scoring, gives you a clean longitudinal view.
Five weighted dimensions feed one composite Index.
Each dimension is scored 0 to 100 from your assessment inputs. The Index is the weighted composite, scaled to 0 to 1000. Bands, archetypes, and projections are derived from the same numbers.
Three commitments that shape the engine.
These are not marketing positions. They are constraints we accepted in exchange for a result you can actually trust.
No machine learning, no inference, no model drift. Your inputs map to a fixed weighted formula. Two people who answer identically get an identical result.
The dimension weights, scoring rules, and band thresholds are documented. You can read the formulas. You can see why your score is what it is.
We do not measure traits, ambitions, or working styles. We measure structural positioning: scope, leverage, alignment, exposure. The things that compound or compress under AI pressure.
What it is. And what it is not.
Three audiences, one structural language.
Take a personal structural reading
Get an honest read on your career positioning under AI compression. See your Index score, primary constraint, and a 6-month action plan you can actually execute.
Start the assessment →Run a workforce reading on your team
See where structural risk concentrates across teams. Aggregated, privacy-preserving leadership view. Every employee retains their personal report.
Workforce intelligence →Use AI Career Index as your diagnostic layer
Bring structural intelligence into your client work. The reading produces a shared language and a measurable baseline you can build a programme around.
Get in touch →Where the framework is going.
The engine is intentionally narrow today. The roadmap widens it into a continuous structural intelligence layer.
Sector benchmarks
Compare your reading against industry-specific positioning ranges (SaaS, financial services, professional services, public sector).
Longitudinal tracking
Quarter-on-quarter delta reporting at individual and workforce level. See structural moves compound.
Workforce APIs
Direct integration with HR systems for ongoing workforce structural intelligence as a continuous signal, not a snapshot.
Roadmap dates are indicative. The framework version, weights, and engine remain deterministic across releases.
Anton Koekemoer
AI Career Index was built by Anton Koekemoer, based in South Africa. The framework grew out of a practical question: how do you give someone a clear, honest read on what AI means for their specific career, without the hype or the fear?
The result is a structured, evidence-based assessment that treats every role individually and gives people something they can act on. No generic advice, no guesswork, just a personalised reading built on real data.
"I used this before a performance review and it changed how I made my case. Instead of listing achievements, I walked in with a clear argument for a bigger role. The conversation shifted at once, and I got the step up I had been chasing for eighteen months."
"My exposure to AI was low, so I thought I could relax. The forecast showed my position would still slip over the next two years if I did nothing. Protecting what you have is its own plan. I would not have seen that on my own."
"I usually dismiss career tools. This one is different, because the results are consistent and it shows how it reaches them. My test for anything is simple: would I trust it enough to make a real decision on it? Here the answer was yes."


How Students Can Lower Their AI Career Risk
You have something most professionals do not: time. Here are the practical moves that lower your AI career risk before you graduate.

A Learner's Guide to AI Career Readiness
What AI career readiness means, why it matters now, and how to check where you stand in about ten minutes, for students and the universities supporting them.
Measure Your Position with AI Career Index
Take the AI Career Snapshot to see your structural leverage, automation exposure, and growth trajectory with AI Career Index.
