Methodology
This score is deterministic. The same inputs always produce the same output. It uses fixed weighted task automability across digital and real-world work, role-aware AI penetration signals, and a capped experience multiplier.
Scoring model (0–100)
- Task automability (0–40): routine process execution 1.00, structured analysis 0.85, communication and coordination 0.75, creative/adaptive problem solving 0.60, hands-on/trust work 0.25.
- Output measurability (0–15): high 15, medium 8, low 2.
- Skill scarcity risk (0–15): common 15, moderate 8, rare/licensed 2.
- Industry/role AI penetration (0–15): high 15, medium 9, low 3. Role mapping overrides industry when defined.
- Human trust requirement risk (0–15): not 15, some 8, critical 2.
- Experience multiplier: clamp(1 - 0.01 * years, 0.85, 1.0)
Final score and exposure labels
- Final score = round((Task + Measurability + Scarcity + Penetration + Trust) * ExperienceMultiplier)
- Clamped to 0–100.
- Display labels: 0–30 AI-Resilient, 31–60 AI-Exposed, 61–100 AI-Vulnerable.
This is an experimental model based on self-reported task automability. It is not a prediction of job loss, and should not be used for employment decisions.
Builder
KS
Kirsty Sharman
Founder @ Referral Factory. I build things. I market them. Now building with AI.