Our summary
This project explores how artificial intelligence changes over three thousand European careers. Instead of guessing how a whole job might change, it breaks each profession down into specific skills. Someone would use this method to see exactly which daily tasks technology might replace or improve.
The software feeds thousands of official job skills to an AI assistant, asking it to rate each one on a ten-point scale for automation risk and helpfulness. It also tests Jev, a different AI tool that chooses from set options rather than writing out text, to compare the scores.
These scores are estimates based on software tests, not measurements of real workplaces. The two AI tools disagreed on whether physical machinery counts as automation, showing that the scoring rules were unclear. This guide is useful for researchers building systems to evaluate large amounts of career data.
Key takeaways
- Break jobs down into individual skills before asking an AI assistant to score them for automation.
- Write clear rules for your one-to-ten scales so the software understands exactly what each number means.
- Save your progress frequently when processing thousands of items so you do not lose work during errors.