Accounts Receivable Specialists

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

    0.310

    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

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
Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes.

O*NET Task ID 2486

1.0
Operate computers programmed with accounting software to record, store, and analyze information.

O*NET Task ID 2487

1.0
Debit, credit, and total accounts on computer spreadsheets and databases, using specialized accounting software.

O*NET Task ID 2489

1.0
Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers.

O*NET Task ID 2490

1.0
Code documents according to company procedures.

O*NET Task ID 2493

1.0
Operate 10-key calculators, typewriters, and copy machines to perform calculations and produce documents.

O*NET Task ID 2495

1.0
Perform financial calculations, such as amounts due, interest charges, balances, discounts, equity, and principal.

O*NET Task ID 2497

1.0
Perform general office duties, such as filing, answering telephones, and handling routine correspondence.

O*NET Task ID 2498

1.0
Calculate and prepare checks for utilities, taxes, and other payments.

O*NET Task ID 2501

1.0
Compare computer printouts to manually maintained journals to determine if they match.

O*NET Task ID 2502

1.0

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

Recent Changes Related to This Occupation

May 2025: Brookings retraining analysis: workers displaced by AI from clerical roles face challenging transitions. TAA participants remained underemployed even 4 years after job loss.

[Source: Brookings Institution]

Oct 2024: Brookings (Oct 2024) names bookkeepers among the office and administrative support jobs, a sector with high generative AI exposure and high automation potential, that have long given women without a college degree decent-paying, stable work.

[Source: Brookings 2024 — Generative AI, the American worker]

These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.