Code O*NET-SOC
13-2071.00

Advise and educate individuals or organizations on acquiring and managing debt. May provide guidance in determining the best type of loan and explain loan requirements or restrictions. May help develop debt management plans or student financial aid packages. May advise on credit issues, or provide budget, mortgage, bankruptcy, or student financial aid counseling.

Les intitulés des métiers et les énoncés de tâches sont affichés en anglais, tels que publiés. Les libellés, y compris les types de tâches, sont traduits.

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

    0.234

    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

    Publié par profession SOC 2018 ; chaque profession O*NET ayant le même code SOC 2018 reçoit cette valeur

    Jeu de données source (téléchargement CSV)

  • Source des données: ILOPublié: 2025

    0.60

    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

    Publié par groupe de base ISCO-08. Relié à ce métier, en tout ou en partie, en appliquant tels que publiés les tableaux de correspondance du U.S. Bureau of Labor Statistics (ISCO-08 vers SOC 2010, SOC 2010 vers SOC 2018)

    Jeu de données source (téléchargement PDF)

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.

Exposition à l’IA (grille d’OpenAI)

23 tâches évaluées · 22 tâches avec β ≥ 0,5 (95.7%)

β = exposition directe (E1) + 0,5 × exposition lorsque des outils sont disponibles (E2), selon la définition du dépôt source.

  • Unité source : tâches O*NET 27.2 → code de métier O*NET 31.0
  • Toutes les tâches notées figurent dans la liste des tâches O*NET 31.0.
Source
OpenAI "GPTs are GPTs" exposure rubric
Version
gh-main-0471612
Licence
MIT License, Copyright (c) 2024 OpenAI

Tâches

Énoncés de tâches de l’O*NET® 31.0 Database, les tâches principales d’abord.

TâcheTypeβ (OpenAI)
Advise clients or respond to inquiries about financial matters in person or via phone, email, Web site, or Internet chat.Principale0,5
Assess clients' overall financial situations by reviewing income, assets, debts, expenses, credit reports, or other financial information.Principale0,5
Calculate clients' available monthly income to meet debt obligations.Principale1
Create debt management plans, spending plans, or budgets to assist clients to meet financial goals.Principale0,5
Estimate time for debt repayment, given amount of debt, interest rates, and available funds.Principale1
Explain services or policies to clients, such as debt management program rules, advantages and disadvantages of using services, or creditor concession policies.Principale1
Interview clients by telephone or in person to gather financial information.Principale0,5
Maintain or update records of client account activity, including financial transactions, counseling session notes, correspondence, document images, or client inquiries.Principale0,5
Prepare written documents to establish contracts with or communicate financial recommendations to clients.Principale1
Prioritize client debt repayment to avoid dire consequences, such as bankruptcy or foreclosure or to reduce overall costs, such as by paying high-interest or short-term loans first.Principale0,5
Recommend educational materials or resources to clients on matters, such as financial planning, budgeting, or credit.Principale0,5
Recommend strategies for clients to meet their financial goals, such as borrowing money through loans or loan programs, declaring bankruptcy, making budget adjustments, or enrolling in debt management plans.Principale0,5
Refer clients to social service or community resources for needs beyond those of credit or debt counseling.Principale0,5
Review changes to financial, family, or employment situations to determine whether changes to existing debt management plans, spending plans, or budgets are needed.Principale0,5
Advise clients on housing matters, such as housing rental, homeownership, mortgage delinquency, or foreclosure prevention.Principale0,5
Create action plans to assist clients in obtaining permanent housing via rent or mortgage programs.Principale0,5
Explain general financial topics to clients, such as credit report ratings, bankruptcy laws, consumer protection laws, wage attachments, or collection actions.Principale1
Explain loan information to clients, such as available loan types, eligibility requirements, or loan restrictions.Principale1
Teach courses or seminars on topics, such as budgeting, management of personal finances, or financial literacy.Principale0,5
Negotiate with creditors on behalf of clients to arrange for payment adjustments, interest rate reductions, time extensions, or payment plans.Complémentaire0,5
Conduct research to help clients avoid repossessions or foreclosures or remove levies or wage garnishments.Complémentaire0,5
Disburse funds from client accounts to creditors.Complémentaire0
Investigate missing checks, payment histories, held funds, returned checks, or other related issues to resolve client or creditor problems.Complémentaire0,5

Informations professionnelles

Sources et attribution

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 13-2071.00 Credit Counselors

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

Attribution et licences complètes