This is a research tool that visualizes 39 ISCO-08 occupation groups from Eurostat and HRDA/AnAD data, covering the Cyprus labour market. Each rectangle's area is proportional to total employment. Color shows the selected metric — toggle between projected growth outlook, median pay (EUR), education requirements, and AI exposure. This is not a report, a paper, or a serious economic publication — it is a development tool for exploring Cyprus employment data visually.
LLM-powered coloring: The source code includes data pipelines, parsers, and a framework for writing custom LLM prompts to score and color occupations by any criteria. You write a prompt, the LLM scores each occupation, and the treemap colors 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 coloring.
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.