Umfrageinterviewer
Büro und VerwaltungsunterstützungKI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
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: 2026-03
0.385
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: 2025
0.55
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 12% 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 % |
|---|---|
Identify and report problems in obtaining valid data.43-4111 | 0.041344.9 |
Compile, record, and code results or data from interview or survey, using computer or specified form.43-4111 | 0.019921.7 |
Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.43-4111 | 0.017619.1 |
Prepare reports to provide answers in response to specific problems.43-4111 | 0.00616.7 |
Explain survey objectives and procedures to interviewees and interpret survey questions to help interviewees' comprehension.43-4111 | 0.00262.8 |
Collect and analyze data, such as studying old records, tallying the number of outpatients entering each day or week, or participating in federal, state, or local population surveys as a Census Enumerator.43-4111 | 0.00232.5 |
Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation.43-4111 | 0.00212.3 |
| 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. | |
Review data obtained from interview for completeness and accuracy. | —0 |
Contact individuals to be interviewed at home, place of business, or field location, by telephone, mail, or in person. | —0 |
Meet with supervisor daily to submit completed assignments and discuss progress. | —0 |
Assist individuals in filling out applications or questionnaires. | —0 |
Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options. | —0 |
Perform patient services, such as answering the telephone or assisting patients with financial or medical questions. | —0 |
Locate and list addresses and households. | —0 |
Supervise or train other staff members. | —0 |
Perform office duties, such as telemarketing or customer service inquiries, maintaining staff records, billing patients, or receiving payments. | —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 |
|---|---|
Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.O*NET Task ID 2627 | 1.0 |
Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation.O*NET Task ID 2628 | 1.0 |
Compile, record, and code results or data from interview or survey, using computer or specified form.O*NET Task ID 2629 | 1.0 |
Review data obtained from interview for completeness and accuracy.O*NET Task ID 2630 | 1.0 |
Assist individuals in filling out applications or questionnaires.O*NET Task ID 2632 | 1.0 |
Identify and report problems in obtaining valid data.O*NET Task ID 2634 | 1.0 |
Explain survey objectives and procedures to interviewees and interpret survey questions to help interviewees' comprehension.O*NET Task ID 2635 | 1.0 |
Prepare reports to provide answers in response to specific problems.O*NET Task ID 2637 | 1.0 |
Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options.O*NET Task ID 2633 | 0.5 |
Perform patient services, such as answering the telephone or assisting patients with financial or medical questions.O*NET Task ID 2636 | 0.5 |
Contact individuals to be interviewed at home, place of business, or field location, by telephone, mail, or in person.O*NET Task ID 2631 | 0.0 |
Meet with supervisor daily to submit completed assignments and discuss progress.O*NET Task ID 2640 | 0.0 |
Supervise or train other staff members.O*NET Task ID 20434 | 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