Credit Risk Managers
Business & Financial OperationsAI 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
0.234
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.60
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, 4% 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
Exposed tasks only| Task | Claude.aiRaw / share % |
|---|---|
Explain general financial topics to clients, such as credit report ratings, bankruptcy laws, consumer protection laws, wage attachments, or collection actions.13-2071 | 0.160529.6 |
Recommend strategies for clients to meet their financial goals, such as borrowing money through loans or loan programs, declaring bankruptcy, making budget adjustments, or enrolling in debt management plans.13-2071 | 0.097518.0 |
Prepare written documents to establish contracts with or communicate financial recommendations to clients.13-2071 | 0.05159.5 |
Counsel clients on personal and family financial problems, such as excessive spending or borrowing of funds.13-2071 | 0.03346.2 |
Recommend educational materials or resources to clients on matters such as financial planning, budgeting, or credit.13-2071 | 0.03165.8 |
Teach courses or seminars on topics such as budgeting, managing personal finances, or financial literacy.13-2071 | 0.02735.0 |
Create debt management plans, spending plans, or budgets to assist clients to meet financial goals.13-2071 | 0.02664.9 |
Estimate time for debt repayment given amount of debt, interest rates, and available funds.13-2071 | 0.02594.8 |
Calculate amount of debt and funds available to plan methods of payoff and to estimate time for debt liquidation.13-2071 | 0.02524.6 |
Explain services or policies to clients, such as debt management program rules, the advantages and disadvantages of using services, or creditor concession policies.13-2071 | 0.01703.1 |
| Not observed on any surface — 30 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Advise clients or respond to inquiries about financial matters in person or via phone, email, Web site, or Internet chat. | —0 |
Calculate clients' available monthly income to meet debt obligations. | —0 |
Interview clients by telephone or in person to gather financial information. | —0 |
Maintain or update records of client account activity, including financial transactions, counseling session notes, correspondence, document images, or client inquiries. | —0 |
Negotiate with creditors on behalf of clients to arrange for payment adjustments, interest rate reductions, time extensions, or to set up payment plans. | —0 |
Prioritize client debt repayment to avoid dire consequences, such as bankruptcy or foreclosure or to reduce overall costs, such as by paying high-interest or short-term loans first. | —0 |
Refer clients to social service or community resources for needs beyond those of credit or debt counseling. | —0 |
Advise clients on housing matters, such as housing rental, homeownership, mortgage delinquency, or foreclosure prevention. | —0 |
Conduct research to help clients avoid repossessions or foreclosures or remove levies or wage garnishments. | —0 |
Create action plans to assist clients in obtaining permanent housing via rent or mortgage programs. | —0 |
Explain loan information to clients, such as available loan types, eligibility requirements, or loan restrictions. | —0 |
Investigate missing checks, payment histories, held funds, returned checks, or other related issues to resolve client or creditor problems. | —0 |
Disburse funds from client accounts to creditors. | —0 |
Check loan agreements to ensure that they are complete and accurate, according to policies. | —0 |
Refer loans to loan committees for approval. | —0 |
Approve loans within specified limits. | —0 |
Submit applications to credit analysts for verification and recommendation. | —0 |
Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans. | —0 |
Contact applicants or creditors to resolve questions about applications or to assist with completion of paperwork. | —0 |
Review billing for accuracy. | —0 |
Supervise loan personnel. | —0 |
Match students' needs and eligibility with available financial aid programs to provide informed recommendations. | —0 |
Contact creditors to explain clients' financial situations and to arrange for payment adjustments so that payments are feasible for clients and agreeable to creditors. | —0 |
Petition courts to transfer titles and deeds of collateral to banks. | —0 |
Compare data on student aid applications with eligibility requirements of assistance programs. | —0 |
Review accounts to determine write-offs for collection agencies. | —0 |
Locate debtors using post office directories, utility services account listings, or mailing lists. | —0 |
Arrange for maintenance or liquidation of delinquent properties. | —0 |
Authorize or sign mail collection letters. | —0 |
Open accounts for clients and disburse funds from clients' accounts to creditors. | —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 |
|---|---|
Calculate clients' available monthly income to meet debt obligations.O*NET Task ID 18935 | 1.0 |
Estimate time for debt repayment, given amount of debt, interest rates, and available funds.O*NET Task ID 18937 | 1.0 |
Explain services or policies to clients, such as debt management program rules, advantages and disadvantages of using services, or creditor concession policies.O*NET Task ID 18938 | 1.0 |
Prepare written documents to establish contracts with or communicate financial recommendations to clients.O*NET Task ID 18942 | 1.0 |
Explain general financial topics to clients, such as credit report ratings, bankruptcy laws, consumer protection laws, wage attachments, or collection actions.O*NET Task ID 18952 | 1.0 |
Explain loan information to clients, such as available loan types, eligibility requirements, or loan restrictions.O*NET Task ID 18953 | 1.0 |
Advise clients or respond to inquiries about financial matters in person or via phone, email, Web site, or Internet chat.O*NET Task ID 18933 | 0.5 |
Assess clients' overall financial situations by reviewing income, assets, debts, expenses, credit reports, or other financial information.O*NET Task ID 18934 | 0.5 |
Create debt management plans, spending plans, or budgets to assist clients to meet financial goals.O*NET Task ID 18936 | 0.5 |
Interview clients by telephone or in person to gather financial information.O*NET Task ID 18939 | 0.5 |
Disburse funds from client accounts to creditors.O*NET Task ID 18951 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page