🍁 Canada Job Market Visualizer [GitHub]

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.

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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 system
Theoretical capability — β, Eloundou et al. (2023) Observed exposure — Anthropic AEI, labor-market-impacts (2026)

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.

MGMT Management BIZ Business & Finance STEM Science & Technology HLTH Health & Medicine EDU Education & Social ARTS Arts & Culture SVC Sales & Service TRADE Trades & Transport NAT Natural Resources MFG Manufacturing
View the Digital AI Exposure scoring prompt (example)
You are an expert analyst evaluating how exposed different occupations are to AI. You will be given a description of an occupation from the ESDC Job Bank (Canada). Rate the occupation's overall AI Exposure on a scale from 0 to 10. AI Exposure measures: how much will AI reshape this occupation? Consider both direct effects (AI automating tasks currently done by humans) and indirect effects (AI making each worker so productive that fewer are needed). A key signal is whether the job's work product is fundamentally digital. If the job can be done entirely from a home office on a computer — writing, coding, analyzing, communicating — then AI exposure is inherently high (7+), because AI capabilities in digital domains are advancing rapidly. Even if today's AI can't handle every aspect of such a job, the trajectory is steep and the ceiling is very high. Conversely, jobs requiring physical presence, manual skill, or real-time human interaction in the physical world have a natural barrier to AI exposure. Use these anchors to calibrate your score: - 0–1: Minimal exposure. The work is almost entirely physical, hands-on, or requires real-time human presence in unpredictable environments. AI has essentially no impact on daily work. Examples: roofer, landscaper, commercial diver. - 2–3: Low exposure. Mostly physical or interpersonal work. AI might help with minor peripheral tasks (scheduling, paperwork) but doesn't touch the core job. Examples: electrician, plumber, firefighter, dental hygienist. - 4–5: Moderate exposure. A mix of physical/interpersonal work and knowledge work. AI can meaningfully assist with the information-processing parts but a substantial share of the job still requires human presence. Examples: registered nurse, police officer, veterinarian. - 6–7: High exposure. Predominantly knowledge work with some need for human judgment, relationships, or physical presence. AI tools are already useful and workers using AI may be substantially more productive. Examples: teacher, manager, accountant, journalist. - 8–9: Very high exposure. The job is almost entirely done on a computer. All core tasks — writing, coding, analyzing, designing, communicating — are in domains where AI is rapidly improving. The occupation faces major restructuring. Examples: software developer, graphic designer, translator, data analyst, paralegal, copywriter. - 10: Maximum exposure. Routine information processing, fully digital, with no physical component. AI can already do most of it today. Examples: data entry clerk, telemarketer. Respond with ONLY a JSON object in this exact format, no other text: {"exposure": <0-10>, "rationale": "<2-3 sentences explaining the key factors>"}

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.