Revenue Agents

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

    0.028

    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

    0.49

    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, 21% 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
Maintain records for each case, including contacts, telephone numbers, and actions taken.

O*NET Task ID 5290

1.0
Send notices to taxpayers when accounts are delinquent.

O*NET Task ID 5293

1.0
Enter tax return information into computers for processing.

O*NET Task ID 5298

1.0
Check tax forms to verify that names and taxpayer identification numbers are correct, that computations have been performed correctly, or that amounts match those on supporting documentation.

O*NET Task ID 5302

1.0
Collect taxes from individuals or businesses according to prescribed laws and regulations.

O*NET Task ID 5288

0.5
Maintain knowledge of tax code changes, and of accounting procedures and theory to properly evaluate financial information.

O*NET Task ID 5289

0.5
Confer with taxpayers or their representatives to discuss the issues, laws, and regulations involved in returns, and to resolve problems with returns.

O*NET Task ID 5291

0.5
Contact taxpayers by mail or telephone to address discrepancies and to request supporting documentation.

O*NET Task ID 5292

0.5
Notify taxpayers of any overpayment or underpayment, and either issue a refund or request further payment.

O*NET Task ID 5294

0.5
Conduct independent field audits and investigations of income tax returns to verify information or to amend tax liabilities.

O*NET Task ID 5295

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