Eligibility 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
0.060
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.45
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, 25% 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 11 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights.43-4061 | 0.025141.0 | —0 |
Provide applicants with assistance in completing application forms such as those for job referrals or unemployment compensation claims.43-4061 | 0.019231.4 | —0 |
Answer applicants' questions about benefits and claim procedures.43-4061 | 0.013622.2 | 0.008856.5 |
Prepare applications and forms for applicants for such purposes as school enrollment, employment, and medical services.43-4061 | 0.00335.4 | 0.003019.0 |
Refer applicants to job openings or to interviews with other staff, in accordance with administrative guidelines or office procedures. | —0 | 0.002113.6 |
Investigate claimants for the possibility of fraud or abuse. | —0 | 0.001710.9 |
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 |
|---|---|
Answer applicants' questions about benefits and claim procedures.O*NET Task ID 9732 | 1.0 |
Interpret and explain information such as eligibility requirements, application details, payment methods, and applicants' legal rights.O*NET Task ID 9734 | 1.0 |
Keep records of assigned cases, and prepare required reports.O*NET Task ID 9739 | 1.0 |
Prepare applications and forms for applicants for such purposes as school enrollment, employment, and medical services.O*NET Task ID 9741 | 1.0 |
Provide social workers with pertinent information gathered during applicant interviews.O*NET Task ID 9743 | 1.0 |
Compute and authorize amounts of assistance for programs, such as grants, monetary payments, and food stamps.O*NET Task ID 9744 | 1.0 |
Provide applicants with assistance in completing application forms, such as those for job referrals or unemployment compensation claims.O*NET Task ID 9746 | 1.0 |
Interview benefits recipients at specified intervals to certify their eligibility for continuing benefits.O*NET Task ID 9733 | 0.5 |
Initiate procedures to grant, modify, deny, or terminate assistance, or refer applicants to other agencies for assistance.O*NET Task ID 9735 | 0.5 |
Compile, record, and evaluate personal and financial data to verify completeness and accuracy, and to determine eligibility status.O*NET Task ID 9736 | 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