{ "meta": { "dossier": "ilo", "source": "ILO, ILOSTAT (ILO - Estimates)", "product": "ILOSTAT ILO-ESTIMATES: Employment by sex, age and generative AI exposure; Employment by sex and generative AI exposure", "base": "ILO estimates", "instrument": "ilo-estimates", "frequency": "annual", "unit": "thousand", "vintage": "2026-09-27", "geo": "IND", "latestPeriod": "2025", "releaseDate": null, "flows": [ "DF_EMP_TEMP_SEX_AGE_GAI_NB", "DF_EMP_TEMP_SEX_GAI_NB" ], "coverage": "Employment by sex, age and generative AI exposure; Employment by sex and generative AI exposure. ILO - Estimates, annual", "revisionPolicy": "Each ILOEST edition re-estimates the whole modelled history; the raw dump of the previous edition is archived under data/raw/vintages. Survey series change when the ILO reprocesses the unit data.", "note": "As published in ILOSTAT from: ILO - Estimates." }, "dates": [ "2022-01-01", "2023-01-01", "2024-01-01", "2025-01-01" ], "series": { "emp_temp_sex_age_gai_nb__sex_t__age_ythadult_yge15__gai_gradient_total": { "name": "emp_temp_sex_age_gai_nb__sex_t__age_ythadult_yge15__gai_gradient_total", "label": "Employment (previous ILO definition - ICLS13): Total, 15+, Total", "unit": "thousand", "group": "Sex and age and exposure to generative AI", "color": "#2E4BD8", "data": [ 444845.808, 471885.685, 482793.235, 476557.086 ] }, "emp_temp_sex_age_gai_nb__sex_t__age_ythadult_yge15__gai_gradient_4": { "name": "emp_temp_sex_age_gai_nb__sex_t__age_ythadult_yge15__gai_gradient_4", "label": "Employment (previous ILO definition - ICLS13): Total, 15+, 4 - Highest exposure, low task \r\nvariability", "unit": "thousand", "group": "Sex and age and exposure to generative AI", "color": "#C47A16", "data": [ 8255.213, 9231.607, 9738.109, 9766.742 ] }, "emp_temp_sex_age_gai_nb__sex_t__age_ythadult_yge15__gai_gradient_3": { "name": "emp_temp_sex_age_gai_nb__sex_t__age_ythadult_yge15__gai_gradient_3", "label": "Employment (previous ILO definition - 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