Ingenieurs en Traitement du Langage Naturel

Informatique et Mathématiques

Exposition à l'IA

  • Source des données: BLSPublié: 2026-08

    Très élevée· relative

    FaibleQuatre bandes relativesTrès élevée

    Valeur 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

    Jeu de données source (téléchargement XLSX)

  • Source des données: AnthropicPublié: 2026-03

    0.461

    0.000Étendue des valeurs présentées ici0.745
    Échelle, base et source

    Indice d'exposition observée, 0–1 tel que publié

    Rapporté aux tâches O*NET

    Jeu de données source

  • Source des données: ILOPublié: 2025

    0.49

    0.09Étendue des valeurs présentées ici0.70

    Valeur 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, 21% atteignent ou dépassent cette valeur.

    Jeu de données source

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
TaskClaude.aiRaw / share %APIRaw / share %
Prepare appropriate formatting to data sets as requested.

15-2041

0.108615.70.362522.3
Evaluate sources of information to determine any limitations in terms of reliability or usability.

15-2041

0.100414.50.288217.7
Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.

15-2041

0.087412.60.546633.6
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.

15-2041

0.03555.10.00230.1
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.

15-2041

0.03424.90.02811.7
Report results of statistical analyses, including information in the form of graphs, charts, and tables.

15-2041

0.02894.20.02071.3
Write program code to analyze data using statistical analysis software.

15-2041

0.02824.10.05053.1
Develop software applications or programming to use for statistical modeling and graphic analysis.

15-2041

0.02733.90.01480.9
Develop and test experimental designs, sampling techniques, and analytical methods.

15-2041

0.02713.90.00660.4
Process large amounts of data for statistical modeling and graphic analysis, using computers.

15-2041

0.02613.80.02301.4
Not observed on any surface — 30 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.
Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
—0—0
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
—0—0
Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
—0—0
Supervise and provide instructions for workers collecting and tabulating data.
—0—0
Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
—0—0
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
—0—0
Present statistical and nonstatistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students.
—0—0
Teach graduate or continuing education courses or seminars in biostatistics.
—0—0
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.
—0—0
Calculate sample size requirements for clinical studies.
—0—0
Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.
—0—0
Assign work to biostatistical assistants or programmers.
—0—0
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.
—0—0
Develop or use mathematical models to track changes in biological phenomena such as the spread of infectious diseases.
—0—0
Develop or implement data analysis algorithms.
—0—0
Design research studies in collaboration with physicians, life scientists, or other professionals.
—0—0
Design or maintain databases of biological data.
—0—0
Review clinical or other medical research protocols and recommend appropriate statistical analyses.
—0—0
Provide biostatistical consultation to clients or colleagues.
—0—0
Design surveys to assess health issues.
—0—0
Develop technical specifications for data management programming and communicate needs to information technology staff.
—0—0
Write work instruction manuals, data capture guidelines, or standard operating procedures.
—0—0
Track the flow of work forms including in-house data flow or electronic forms transfer.
—0—0
Train staff on technical procedures or software program usage.
—0—0
Supervise the work of data management project staff.
—0—0
Monitor work productivity or quality to ensure compliance with standard operating procedures.
—0—0
Generate data queries based on validation checks or errors and omissions identified during data entry to resolve identified problems.
—0—0
Design and validate clinical databases including designing or testing logic checks.
—0—0
Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.
—0—0
Develop project-specific data management plans that address areas such as data coding, reporting, or transfer, database locks, and work flow processes.
—0—0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Informations professionnelles