{"locations":[{"code":"DEU","name":"Germany","page":"https://macroscope.is/en/country/germany/"}],"indicators":[{"id":"eu_genai_use","title":"Generative AI use, age 16–74","unit":"% of individuals aged 16–74"}],"from_year":1950,"to_year":2100,"sections":[{"id":"dyn","title":"How the indicators changed","items":[{"kind":"dynamics","indicators":["eu_genai_use"],"text":"Generative AI use, age 16–74: 32.25 % of individuals aged 16–74 in 2025; no earlier data in this period.","data":{"indicator":"eu_genai_use","from":2025,"to":2025,"first":32.25,"last":32.25}}]}],"caveat":"Moving together in time does not prove a cause: incomes, cities, education and the era itself act on many indicators at once. These observations suggest where to look, not what causes what.","view_url":"https://macroscope.is/en/chart/?c=DEU&i=eu_genai_use&from=1950&to=2100&past=1","how_to_read":"text: a ready sentence with numbers; data: the same numbers for calculations. The first indicator is the focus the others are compared with. Relationships are checked in levels (r) and in year-to-year changes (r_changes: the changes have their own linear trend removed; significance corrected for autocorrelation); lag is the shift at which changes line up best. UN errors: actual / projected − 1 for population, births and fertility, actual − projected for migration, life expectancy and mothers' age; IMF: actual − forecast. view_url opens the same view on the site."}