Spécialistes en Gestion des Risques

Affaires et Finances

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

    0.220

    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

    0.44

    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, 28% 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 requirements documentation for use by software developers.

13-2099

0.080036.40.020028.6
Provide application or analytical support to researchers or traders on issues such as valuations or data.

13-2099

0.080036.40.020028.6
Define or recommend model specifications or data collection methods.

13-2099

0.030013.60.00000.0
Interpret results of financial analysis procedures.

13-2099

0.01004.50.010014.3
Prepare written reports of investigation findings.

13-2099

0.01004.50.00000.0
Recommend actions in fraud cases.

13-2099

0.01004.50.00000.0
Evaluate business operations to identify risk areas for fraud.

13-2099

0.00000.00.020028.6
Produce written summary reports of financial research results.

13-2099

0.00000.00.00000.0
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.

13-2099

0.00000.00.00000.0
Gather financial documents related to investigations.

13-2099

0.00000.00.00000.0
Advise businesses or agencies on ways to improve fraud detection.

13-2099

0.00000.0—0
Research new financial products or analytics to determine their usefulness.
—00.00000.0
Create and maintain logs, records, or databases of information about fraudulent activity.
—00.00000.0
Not observed on any surface — 31 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.
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.
—0—0
Maintain or modify all financial analytic models in use.
—0—0
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
—0—0
Consult traders or other financial industry personnel to determine the need for new or improved analytical applications.
—0—0
Confer with other financial engineers or analysts on trading strategies, market dynamics, or trading system performance to inform development of quantitative techniques.
—0—0
Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
—0—0
Devise or apply independent models or tools to help verify results of analytical systems.
—0—0
Identify, track, or maintain metrics for trading system operations.
—0—0
Collaborate with product development teams to research, model, validate, or implement quantitative structured solutions for new or expanded markets.
—0—0
Analyze pricing or risks of carbon trading products.
—0—0
Assess the potential impact of climate change on business financial issues, such as damage repairs, insurance costs, or potential disruptions of daily activities.
—0—0
Develop methods of assessing or measuring corporate performance in terms of environmental, social, and governance (ESG) issues.
—0—0
Develop solutions to help clients hedge carbon exposure or risk.
—0—0
Develop tools to assess green technologies or green financial products, such as green hedge funds or social responsibility investment funds.
—0—0
Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques.
—0—0
Train others in fraud detection and prevention techniques.
—0—0
Research or evaluate new technologies for use in fraud detection systems.
—0—0
Prepare evidence for presentation in court.
—0—0
Negotiate with responsible parties to arrange for recovery of losses due to fraud.
—0—0
Conduct field surveillance to gather case-related information.
—0—0
Testify in court regarding investigation findings.
—0—0
Review reports of suspected fraud to determine need for further investigation.
—0—0
Lead, or participate in, fraud investigation teams.
—0—0
Interview witnesses or suspects and take statements.
—0—0
Design, implement, or maintain fraud detection tools or procedures.
—0—0
Document all investigative activities.
—0—0
Coordinate investigative efforts with law enforcement officers and attorneys.
—0—0
Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts.
—0—0
Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures.
—0—0
Obtain and serve subpoenas.
—0—0
Arrest individuals to be charged with fraud.
—0—0

Data sources & licenses — O*NET®, Anthropic Economic Index: see full notices on the Credits page

Informations professionnelles