As of July 2026,
Credit Analyst has an AI-exposure score of 69/100
(High exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
AI-Safe Careers curated modeled estimate. This curated role has no matched O*NET SOC or empirical occupation signal. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.
Credit Analyst
More exposed than 87% of the roles we track. Median pay ~US$79,420.
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Finance roles
What this role usually involves
Analyze credit data and financial statements of individuals or firms to determine the degree of risk involved in extending credit or lending money. Prepare reports with credit information for use in decisionmaking.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 title match - Credit Analysts, SOC 13-2041.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Credit Analyst tasks, by AI exposure
- Evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity.
- Review individual or commercial customer files to identify and select delinquent accounts for collection.
- Confer with credit association and other business representatives to exchange credit information.
- Recommend lending decisions
No durable tasks identified for this role - its real, individually-assessed tasks consistently read as automatable (93%).
We analyzed all 15 Credit Analyst tasks - 14 automatable and 1 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Evaluate customer records and recommend payment plans, based on earnings, savings data, payment history, and purchase activity.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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