Survey Interviewers
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.385
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.55
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 12% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 10 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Compile, record, and code results or data from interview or survey, using computer or specified form.43-4111 | 0.093149.5 |
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 | 0.038420.4 |
Identify and report problems in obtaining valid data.43-4111 | 0.032417.2 |
Prepare reports to provide answers in response to specific problems.43-4111 | 0.018810.0 |
Explain survey objectives and procedures to interviewees and interpret survey questions to help interviewees' comprehension.43-4111 | 0.00372.0 |
Assist individuals in filling out applications or questionnaires.43-4111 | 0.00170.9 |
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 |
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