Swiss Job Market & AI Exposure GitHub

Visualizing 0 Swiss jobs across 0 occupations from the Swiss Federal Statistical Office (BFS) SAKE survey and wage data. Each rectangle is an occupation; size is number of jobs, color is the selected metric. This is not a report or economic forecast, it is an exploratory tool for visualising Swiss labour data.

Methodology & Data Sources

Employment: BFS Swiss Labour Force Survey (SAKE) 2019-2021 cumulated, CH-ISCO-19 3-digit level. Wages: BFS Wage Structure Survey (LSE) 2022, median gross monthly wages by ISCO-08 2-digit group. AI Exposure: Each occupation scored 0-10 by Claude (Anthropic) following Andrej Karpathy's methodology, work done entirely on computers faces the highest exposure.

0 (Minimal)

10 (Maximum)

Total Jobs

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Avg. Exposure

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Jobs by Exposure

Exposure Tiers

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 8/10 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.