Ingenieurs en Fiabilite des Sites
Informatique et MathématiquesExposition à l'IA
- Source des données: BLSPublié: 2026-08
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: 2026-03
0.311
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: 2025
0.53
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, 14% 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
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 |
|---|---|
Submit project deliverables, ensuring adherence to quality standards.O*NET Task ID 16152 | 1.0 |
Initiate, review, or approve modifications to project plans.O*NET Task ID 16159 | 1.0 |
Develop and manage work breakdown structure (WBS) of information technology projects.O*NET Task ID 16171 | 1.0 |
Perform risk assessments to develop response strategies.O*NET Task ID 16151 | 0.5 |
Monitor the performance of project team members, providing and documenting performance feedback.O*NET Task ID 16153 | 0.5 |
Confer with project personnel to identify and resolve problems.O*NET Task ID 16154 | 0.5 |
Assess current or future customer needs and priorities by communicating directly with customers, conducting surveys, or other methods.O*NET Task ID 16155 | 0.5 |
Schedule and facilitate meetings related to information technology projects.O*NET Task ID 16156 | 0.5 |
Monitor or track project milestones and deliverables.O*NET Task ID 16157 | 0.5 |
Negotiate with project stakeholders or suppliers to obtain resources or materials.O*NET Task ID 16158 | 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®, Eloundou et al. (2023): see full notices on the Credits page
Informations professionnelles
Évolutions récentes concernant ce métier
juil. 2026: ADP/Stanford linked postings-payroll study of ~7,000 IT workers (2019-2025) prices tasks separately within IT jobs. Advising others on the design or use of technologies is among 8 higher-wage activities; five tasks lost compensation value in 2023-2025 vs 2019-2022, including "develop models of systems, processes, or products." Effect sizes were not published.
[Source: ADP Research / Stanford Digital Economy Lab, Unbundling Jobs (July 2026)]mars 2026: EIG (Mar 2026) argues the weakness in young adults' labor market is about age, not education: young workers of all education levels lag the rest of the labor market, which does not fit the media narrative of AI displacing computer science majors and entry-level graduates.
[Source: EIG: AI and Young-Adult Jobs (March 2026)]mars 2026: Brookings (Mar 2026) says research on AI and the labor market is still in its first inning, and studies disagree: ADP payroll data show employment fell more for young workers in high-AI-exposure occupations, while CPS data show unemployment rose less for workers in more exposed occupations.
[Source: Brookings Institution]These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.