Benefits Analysts

Business & Financial Operations

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

    0.065

    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

Exposed tasks only

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
Assist in preparing and maintaining personnel records and handbooks.

O*NET Task ID 3357

1.0
Prepare research results for publication in form of journals, books, manuals, and film.

O*NET Task ID 3372

1.0
Evaluate job positions, determining classification, exempt or non-exempt status, and salary.

O*NET Task ID 3351

0.5
Ensure company compliance with federal and state laws, including reporting requirements.

O*NET Task ID 3352

0.5
Advise managers and employees on state and federal employment regulations, collective agreements, benefit and compensation policies, personnel procedures, and classification programs.

O*NET Task ID 3353

0.5
Plan, develop, evaluate, improve, and communicate methods and techniques for selecting, promoting, compensating, evaluating, and training workers.

O*NET Task ID 3354

0.5
Provide advice on the resolution of classification and salary complaints.

O*NET Task ID 3355

0.5
Prepare occupational classifications, job descriptions, and salary scales.

O*NET Task ID 3356

0.5
Prepare reports, such as organization and flow charts and career path reports, to summarize job analysis and evaluation and compensation analysis information.

O*NET Task ID 3358

0.5
Administer employee insurance, pension, and savings plans, working with insurance brokers and plan carriers.

O*NET Task ID 3359

0.5
Observe, interview, and survey employees and conduct focus group meetings to collect job, organizational, and occupational information.

O*NET Task ID 3370

0.0
Consult with, or serve as, technical liaison between business, industry, government, and union officials.

O*NET Task ID 3371

0.0
Speak at conferences and events to promote apprenticeships and related training programs.

O*NET Task ID 3374

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

Occupation information