Empfangsmitarbeiter
Büro und VerwaltungsunterstützungKI-Exposition
- Datenquelle: BLSVeröffentlicht: '26.08
Sehr hoch· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: '26.03
0.434
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: '25
0.57
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 7% diesen Wert.
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
Task-level exposure
Nur exponierte Aufgaben| Task | Claude.aiRaw / share % |
|---|---|
Analyze data to determine answers to questions from customers or members of the public.43-4171 | 0.027431.3 |
Transmit information or documents to customers, using computer, mail, or facsimile machine.43-4171 | 0.012013.7 |
Calculate and quote rates for tours, stocks, insurance policies, or other products or services.43-4171 | 0.011112.7 |
Process and prepare memos, correspondence, travel vouchers, or other documents.43-4171 | 0.011112.7 |
Schedule appointments and maintain and update appointment calendars.43-4171 | 0.010812.4 |
Hear and resolve complaints from customers or the public.43-4171 | 0.00404.6 |
Schedule space or equipment for special programs and prepare lists of participants.43-4171 | 0.00384.3 |
Provide information about establishment, such as location of departments or offices, employees within the organization, or services provided.43-4171 | 0.00364.2 |
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.43-4171 | 0.00354.0 |
| Not observed on any surface — 10 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. | |
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments. | —0 |
Receive payment and record receipts for services. | —0 |
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations. | —0 |
File and maintain records. | —0 |
Collect, sort, distribute, or prepare mail, messages, or courier deliveries. | —0 |
Keep a current record of staff members' whereabouts and availability. | —0 |
Take orders for merchandise or materials and send them to the proper departments to be filled. | —0 |
Enroll individuals to participate in programs and notify them of their acceptance. | —0 |
Conduct tours or deliver talks describing features of public facilities, such as a historic site or national park. | —0 |
Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area. | —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
Aktuelle Veränderungen mit Bezug zu diesem Beruf
März 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.
[Quelle: ILO WESO 2026]März 2026: ILO: business administration and clerical support nearly twice as likely to be exposed to GenAI.
[Quelle: ILO Research Brief, March 2026]März 2026: ILO confirms receptionists among occupations driving gender AI gap; 88% of countries analyzed show women face higher generative AI risks than men
[Quelle: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]