Réceptionnistes
Bureau et Soutien AdministratifExposition 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
0.434
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: '25
0.57
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, 7% 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 % |
|---|---|---|
Process and prepare memos, correspondence, travel vouchers, or other documents.43-4171 | 0.071477.2 | 0.01107.8 |
Calculate and quote rates for tours, stocks, insurance policies, or other products or services.43-4171 | 0.00808.6 | —0 |
Analyze data to determine answers to questions from customers or members of the public.43-4171 | 0.00798.5 | 0.096168.1 |
Hear and resolve complaints from customers or the public.43-4171 | 0.00333.6 | 0.00946.7 |
Schedule space or equipment for special programs and prepare lists of participants.43-4171 | 0.00192.0 | —0 |
Schedule appointments and maintain and update appointment calendars. | —0 | 0.01047.4 |
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments. | —0 | 0.00553.9 |
Provide information about establishment, such as location of departments or offices, employees within the organization, or services provided. | —0 | 0.00332.3 |
Transmit information or documents to customers, using computer, mail, or facsimile machine. | —0 | 0.00292.0 |
File and maintain records. | —0 | 0.00251.8 |
| Not observed on any surface — 9 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. | ||
Receive payment and record receipts for services. | —0 | —0 |
Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents. | —0 | —0 |
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations. | —0 | —0 |
Collect, sort, distribute, or prepare mail, messages, or courier deliveries. | —0 | —0 |
Keep a current record of staff members' whereabouts and availability. | —0 | —0 |
Take orders for merchandise or materials and send them to the proper departments to be filled. | —0 | —0 |
Enroll individuals to participate in programs and notify them of their acceptance. | —0 | —0 |
Conduct tours or deliver talks describing features of public facilities, such as a historic site or national park. | —0 | —0 |
Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area. | —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 |
|---|---|
Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents.O*NET Task ID 746 | 1.0 |
Analyze data to determine answers to questions from customers or members of the public.O*NET Task ID 752 | 1.0 |
Calculate and quote rates for tours, stocks, insurance policies, or other products or services.O*NET Task ID 756 | 1.0 |
Process and prepare memos, correspondence, travel vouchers, or other documents.O*NET Task ID 758 | 1.0 |
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments.O*NET Task ID 744 | 0.5 |
Receive payment and record receipts for services.O*NET Task ID 745 | 0.5 |
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations.O*NET Task ID 747 | 0.5 |
Hear and resolve complaints from customers or the public.O*NET Task ID 748 | 0.5 |
File and maintain records.O*NET Task ID 749 | 0.5 |
Transmit information or documents to customers, using computer, mail, or facsimile machine.O*NET Task ID 750 | 0.5 |
Collect, sort, distribute, or prepare mail, messages, or courier deliveries.O*NET Task ID 755 | 0.0 |
Conduct tours or deliver talks describing features of public facilities, such as a historic site or national park.O*NET Task ID 761 | 0.0 |
Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area.O*NET Task ID 762 | 0.0 |
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: ILO finds 408 million people globally lack adequate work while AI transforms office roles. Women 24.2% less likely to participate in labor force.
[Source: ILO WESO 2026]mars 2026: ILO: business administration and clerical support nearly twice as likely to be exposed to GenAI.
[Source: ILO Research Brief, March 2026]mars 2026: ILO confirms receptionists among occupations driving gender AI gap; 88% of countries analyzed show women face higher generative AI risks than men
[Source: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]