This is an exploratory research tool that visualizes — occupations from the ESDC Job Bank (NOC 2021), covering ~— jobs across the Canadian economy. Each rectangle's area is proportional to total employment. Color shows the selected metric — toggle between job outlook, median pay, education requirements, and AI exposure. Click any tile to search the Job Bank for that occupation. This tool is intended for exploration only and should not be used as a source of truth for career or policy decisions.
Recreation of Figure 2 from Anthropic's Labor market impacts of AI (Massenkoff & McCrory, 2026). Blue: share of tasks LLMs could theoretically perform (β from Eloundou et al. 2023). Red: share of tasks actually observed being done with Claude in professional settings. The gap between the two is the paper's central finding — current AI usage covers only a fraction of what is theoretically feasible.
Category-level values are unweighted means across the SOC 6-digit
occupations in each group. Anthropic's Figure 2 uses BLS OES
employment weights (BLS blocks automated downloads), so absolute values
differ from the paper by a few percentage points but the polygon shape is
the same. Data:
Eloundou et al. 2023 and
Anthropic labor-market-impacts release.
Regenerate with python figures/build_figure2.py.
Caveat on Digital AI Exposure scores: These are rough estimates, not rigorous predictions. A high score does not predict the job will disappear. Software developers score 9/10 because AI is transforming their work — but demand for software could easily grow as each developer becomes more productive. The score does not account for demand elasticity, latent demand, regulatory barriers, or social preferences for human workers.