Exposure by Sector
Average AI exposure score by NOC broad occupational category, weighted by employment.
The Pay Paradox
Higher-paid workers face greater AI exposure. Average score by wage bracket.
Exposure by Education
AI exposure by TEER (Training, Education, Experience, Responsibility) level.
AI Impact Timeline
When will AI impact hit? Based on Eloundou et al. LLM exposure tiers and COPS demand projections.
Double Jeopardy: Most At-Risk Occupations
High AI exposure score AND shrinking labour demand. These jobs are most likely to contract first.
Safest Jobs
Low AI exposure AND strong labour demand. Physical work the economy needs more of.
Top 15 Most Exposed by Wage Impact
Occupations with the largest total payroll at high AI exposure (score ≥ 6), ranked by employment × median wage.
Public vs Private Sector
AI exposure split by employment sector. Each occupation classified by Claude based on typical employer type in Canada.
Supply-Demand-AI Triangle
Each bubble is an occupation. X-axis = labour supply/demand ratio (>1 = surplus). Y-axis = AI exposure score. Size = employment. Red quadrant = high exposure + surplus = maximum risk.
Immigration at Risk
Occupations with highest immigration share of job seekers, colored by AI exposure. If AI displaces these roles, immigration pipelines are disrupted.
Growth Trajectories (2024–2033)
Projected employment growth for the most and least AI-exposed occupations. Declining lines = shrinking demand.
Expert Disagreement
Occupations where human experts and GPT-4 most disagree on AI exposure (Eloundou et al.). High disagreement = uncertain impact.
Human Moats vs AI Moat
Themes extracted from 516 AI scoring rationales. Left: factors that protect jobs from AI. Right: factors that make jobs vulnerable.