Bill and Account Collectors
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
0.299
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.43
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, 30% 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 10 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Advise customers of necessary actions and strategies for debt repayment.43-3011 | 0.006231.1 |
Sort and file correspondence and perform miscellaneous clerical duties, such as answering correspondence and writing reports.43-3011 | 0.004321.8 |
Record information about financial status of customers and status of collection efforts.43-3011 | 0.004221.2 |
Locate and notify customers of delinquent accounts by mail, telephone, or personal visits to solicit payment.43-3011 | 0.002613.0 |
Confer with customers by telephone or in person to determine reasons for overdue payments and to review the terms of sales, service, or credit contracts.43-3011 | 0.002613.0 |
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 |
|---|---|
Receive payments and post amounts paid to customer accounts.O*NET Task ID 2472 | 1.0 |
Record information about financial status of customers and status of collection efforts.O*NET Task ID 2474 | 1.0 |
Advise customers of necessary actions and strategies for debt repayment.O*NET Task ID 2477 | 1.0 |
Sort and file correspondence and perform miscellaneous clerical duties, such as answering correspondence and writing reports.O*NET Task ID 2479 | 1.0 |
Perform various administrative functions for assigned accounts, such as recording address changes and purging the records of deceased customers.O*NET Task ID 2480 | 1.0 |
Contact insurance companies to check on status of claims payments and write appeal letters for denial on claims.O*NET Task ID 18560 | 1.0 |
Locate and monitor overdue accounts, using computers and a variety of automated systems.O*NET Task ID 2473 | 0.5 |
Locate and notify customers of delinquent accounts by mail, telephone, or personal visits to solicit payment.O*NET Task ID 2475 | 0.5 |
Confer with customers by telephone or in person to determine reasons for overdue payments and to review the terms of sales, service, or credit contracts.O*NET Task ID 2476 | 0.5 |
Persuade customers to pay amounts due on credit accounts, damage claims, or nonpayable checks, or to return merchandise.O*NET Task ID 2478 | 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