Eligibility Interviewers

Office & Administrative Support

AI exposure

  • Data source: BLSPublished: 2026-08

    Very high· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.060

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.45

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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 1 hidden task

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.

TaskβE1 + 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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information