Scoring explainer
What is an AI Career Readiness Score?
Short answer
An AI Career Readiness Score summarises how prepared a professional is for their role as AI reshapes it. It combines how exposed the work is, which strengths remain defensible, and which skills are missing. It is a structured way of organising evidence about your position - it is not a validated psychometric instrument and it does not predict employment outcomes.
Last updated 14 September 2026 · JobsAIQ Research
What it means
Readiness is the gap between where your role is heading and where your capabilities currently sit. A high-exposure role with strong adjacent skills can be more ready than a low-exposure role with none, because the person in the first case can move with the change.
Readiness is therefore never a single input. It is a relationship between exposure, strengths and gaps.
What influences the score
- Exposure of your task mix - how much of your week is work that AI now performs well.
- The depth and transferability of your defensible strengths.
- The size and urgency of your skill gaps relative to how your role is being redefined.
- The pace of change in your field and the hiring signals visible in it.
- Evidence in your profile that you have already adapted - tools adopted, scope changed, new responsibilities taken.
See your own readiness, with the exposure and gaps that produce it.
How to read a high or low result
| A strong readiness result | Your defensible work outweighs your exposed work, and your gaps are small or already being closed. The right move is usually to deepen the advantage, not to retrain from scratch. |
|---|---|
| A weak readiness result | A large share of your week is exposed work and the adjacent skills are missing. This is a signal to act deliberately over months, not to panic - the gaps are specific and usually learnable. |
| A mixed result | Common. Part of the role is commoditising while another part is becoming more valuable. The plan is to shift weight between them. |
Limitations - stated plainly
- The score is a JobsAIQ construct. It is informed by published exposure research but the composite itself is proprietary and has not been independently validated.
- It cannot see your employer's plans, your team's budget, or how your manager values you.
- It does not predict redundancy, promotion, salary or hiring outcomes.
- It reflects the profile you submit. An incomplete profile produces a less accurate result.
- It is a point-in-time reading and should be refreshed as capability and hiring patterns move.
What JobsAIQ does
JobsAIQ expresses AI exposure as the AIQ Score on a 0-100 scale, with four bands: 0-39 Resilient, 40-59 Exposed, 60-79 Act Now and 80-100 Critical. Higher means more exposed. Readiness is reported alongside it, together with the strengths and gaps that drive it, so the number is never presented without the reasoning behind it.
The full scoring approach, inputs and limitations are documented on the methodology page.
Frequently asked questions
- Is a high AIQ Score good or bad?
- A higher AIQ Score means more AI exposure, so it is a signal to act sooner. It is not a verdict on your ability or your value.
- Has the score been scientifically validated?
- No. The AIQ Score is a JobsAIQ construct informed by published AI-exposure research. It has not been independently validated, and we state that rather than implying otherwise.
- Does the score predict whether I will lose my job?
- No. It measures exposure and readiness. Employment outcomes depend on employer decisions and market conditions that no assessment can observe.
- How often should I re-check my score?
- Every few months, or whenever your responsibilities change materially, because both AI capability and hiring patterns move quickly.
Your next move
Check your AI Career Intelligence.
Get your AIQ Score, the exposure behind it, your strengths, your skill gaps and a 14-day plan - built from your own profile, not an industry average.
- Takes about 4 minutes
- Your CV stays private
- Score, report and roadmap