An Australian adaptation of Andrej Karpathy's US Job Market Visualizer, rebuilt with real data from Jobs and Skills Australia. Covers 361 ANZSCO occupations across the Australian labour market (~14.4M employed). Each rectangle's area is proportional to total employment. Colour shows the selected metric — toggle between growth outlook, median pay, education, and AI exposure. Click any tile to view its full JSA profile.
Key differences from the US version: Australia uses ANZSCO occupation codes (not SOC), the Australian Qualifications Framework for education (not US degrees), pay is in AUD, and growth projections are 5-year forecasts from JSA/Victoria University (the US version uses 10-year BLS projections). Australia's projections show fewer declining occupations than the US — partly methodology, partly strong population growth from immigration.
LLM-powered colouring: The source code includes scrapers, parsers, and a pipeline for writing custom LLM prompts to score and colour occupations by any criteria. You write a prompt, the LLM scores each occupation, and the treemap colours accordingly. The "Digital AI Exposure" option is one example — it estimates how much current AI (which is primarily digital) will reshape each occupation. But you could write a different prompt for any question — e.g. exposure to humanoid robotics, offshoring risk, climate impact — and re-run the pipeline to get a different colouring.
Caveat on Digital AI Exposure scores: These are rough LLM 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. Many high-exposure jobs will be reshaped, not replaced.
Data sources: Jobs and Skills Australia Occupation Profiles (Nov 2025) for employment, earnings, and education. JSA Employment Projections (May 2025–2035, Victoria University model) for 5-year growth outlook. Pay is in AUD, derived from median weekly full-time earnings × 52.