Économistes
Sciences de la Vie, Physiques et SocialesExposition à l'IA
- Source des données: BLSPublié: '26.08
Très élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: '26.03
0.242
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: '25
0.55
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 12% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Monitor or analyze market and environmental trends.19-3011 | 0.110055.0 | 0.240066.7 |
Review documents written by others.19-3011 | 0.050025.0 | 0.080022.2 |
Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.19-3011 | 0.030015.0 | 0.00000.0 |
Explain economic impact of policies to the public.19-3011 | 0.01005.0 | 0.00000.0 |
Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.19-3011 | 0.00000.0 | 0.03008.3 |
Interpret indicators to ascertain the overall health of an environment.19-3011 | 0.00000.0 | 0.01002.8 |
Formulate recommendations, policies, or plans to solve economic problems or to interpret markets.19-3011 | 0.00000.0 | —0 |
Provide litigation support, such as writing reports for expert testimony or testifying as an expert witness.19-3011 | 0.00000.0 | —0 |
| Not observed on any surface — 26 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Study economic and statistical data in area of specialization, such as finance, labor, or agriculture. | —0 | —0 |
Develop economic guidelines and standards, and prepare points of view used in forecasting trends and formulating economic policy. | —0 | —0 |
Testify at regulatory or legislative hearings concerning the estimated effects of changes in legislation or public policy, and present recommendations based on cost-benefit analyses. | —0 | —0 |
Supervise research projects and students' study projects. | —0 | —0 |
Teach theories, principles, and methods of economics. | —0 | —0 |
Study the socioeconomic impacts of new public policies, such as proposed legislation, taxes, services, and regulations. | —0 | —0 |
Conduct research on economic issues, and disseminate research findings through technical reports or scientific articles in journals. | —0 | —0 |
Forecast production and consumption of renewable resources and supply, consumption, and depletion of non-renewable resources. | —0 | —0 |
Prepare and deliver presentations to communicate economic and environmental study results, to present policy recommendations, or to raise awareness of environmental consequences. | —0 | —0 |
Demonstrate or promote the economic benefits of sound environmental regulations. | —0 | —0 |
Write technical documents or academic articles to communicate study results or economic forecasts. | —0 | —0 |
Write social, legal, or economic impact statements to inform decision makers for natural resource policies, standards, or programs. | —0 | —0 |
Write research proposals and grant applications to obtain private or public funding for environmental and economic studies. | —0 | —0 |
Examine the exhaustibility of natural resources or the long-term costs of environmental rehabilitation. | —0 | —0 |
Develop systems for collecting, analyzing, and interpreting environmental and economic data. | —0 | —0 |
Develop environmental research project plans, including information on budgets, goals, deliverables, timelines, and resource requirements. | —0 | —0 |
Develop economic models, forecasts, or scenarios to predict future economic and environmental outcomes. | —0 | —0 |
Collect and analyze data to compare the environmental implications of economic policy or practice alternatives. | —0 | —0 |
Perform complex, dynamic, and integrated mathematical modeling of ecological, environmental, or economic systems. | —0 | —0 |
Conduct research to study the relationships among environmental problems and patterns of economic production and consumption. | —0 | —0 |
Conduct research on economic and environmental topics, such as alternative fuel use, public and private land use, soil conservation, air and water pollution control, and endangered species protection. | —0 | —0 |
Develop programs or policy recommendations to achieve environmental goals in cost-effective ways. | —0 | —0 |
Assess the costs and benefits of various activities, policies, or regulations that affect the environment or natural resource stocks. | —0 | —0 |
Develop programs or policy recommendations to promote sustainability and sustainable development. | —0 | —0 |
Teach courses in environmental economics. | —0 | —0 |
Identify and recommend environmentally friendly business practices. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Study economic and statistical data in area of specialization, such as finance, labor, or agriculture.O*NET Task ID 7536 | 0.5 |
Provide advice and consultation on economic relationships to businesses, public and private agencies, and other employers.O*NET Task ID 7537 | 0.5 |
Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques.O*NET Task ID 7538 | 0.5 |
Formulate recommendations, policies, or plans to solve economic problems or to interpret markets.O*NET Task ID 7539 | 0.5 |
Develop economic guidelines and standards, and prepare points of view used in forecasting trends and formulating economic policy.O*NET Task ID 7540 | 0.5 |
Testify at regulatory or legislative hearings concerning the estimated effects of changes in legislation or public policy, and present recommendations based on cost-benefit analyses.O*NET Task ID 7541 | 0.5 |
Supervise research projects and students' study projects.O*NET Task ID 7542 | 0.5 |
Forecast production and consumption of renewable resources and supply, consumption, and depletion of non-renewable resources.O*NET Task ID 7543 | 0.5 |
Teach theories, principles, and methods of economics.O*NET Task ID 7544 | 0.5 |
Provide litigation support, such as writing reports for expert testimony or testifying as an expert witness.O*NET Task ID 20051 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Évolutions récentes concernant ce métier
mars 2026: New blog post: economists face 60% exposure, 36% risk.
[Source: ACW Blog]