AI exposure by occupation, O*NET 13-2072.00
Will AI replace Loan Officers?
Loan Officers: AI can already handle 12 of 30 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 30 tasks O*NET 30.3 lists for Loan Officers, from most to least exposed. 12 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information. | Estimated | Efficient | |
| Calculate amount of debt and funds available to plan methods of payoff and to estimate time for debt liquidation. | Estimated | Standard | |
| Maintain and review account records, updating and recategorizing them according to status changes. | Observed | Standard | |
| Prepare reports to send to customers whose accounts are delinquent, and forward irreconcilable accounts for collector action. | Estimated | Efficient | |
| Review loan agreements to ensure that they are complete and accurate according to policy. | Estimated | Efficient | |
| Review and update credit and loan files. | Estimated | Frontier | |
| Review accounts to determine write-offs for collection agencies. | Estimated | Standard | |
| Review billing for accuracy. | Estimated | Standard | |
| Work with clients to identify their financial goals and to find ways of reaching those goals. | Observed | Frontier | |
| Counsel clients on personal and family financial problems, such as excessive spending or borrowing of funds. | Observed | Frontier | |
| Submit applications to credit analysts for verification and recommendation. | Estimated | Efficient | |
| Match individuals' needs and eligibility with available financial aid programs to provide informed recommendations. | Estimated | Standard | |
| Analyze potential loan markets and develop referral networks to locate prospects for loans. | Estimated | Standard | |
| Contact borrowers with delinquent accounts to obtain payment in full or to negotiate repayment plans. | Estimated | Standard | |
| Meet with applicants to obtain information for loan applications and to answer questions about the process. | Estimated | Efficient | |
| Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans. | Estimated | Efficient | |
| Approve loans within specified limits, and refer loan applications outside those limits to management for approval. | Estimated | Standard | |
| Explain to customers the different types of loans and credit options that are available, as well as the terms of those services. | Estimated | Efficient | |
| Handle customer complaints and take appropriate action to resolve them. | Estimated | Efficient | |
| Supervise loan personnel. | Estimated | Standard | |
| Stay abreast of new types of loans and other financial services and products to better meet customers' needs. | Estimated | Efficient | |
| Market bank products to individuals and firms, promoting bank services that may meet customers' needs. | Estimated | Standard | |
| Compute payment schedules. | Estimated | Standard | |
| Set credit policies, credit lines, procedures and standards in conjunction with senior managers. | Estimated | Standard | |
| Assist in selection of financial award candidates using electronic databases to certify loan eligibility. | Estimated | Efficient | |
| Authorize or sign mail collection letters. | Estimated | Standard | |
| Confer with underwriters to resolve mortgage application problems. | Estimated | Efficient | |
| Contact applicants or creditors to resolve questions about applications or to assist with completion of paperwork. | Estimated | Efficient | |
| Establish payment priorities according to credit terms and interest rates to reduce clients' overall costs. | Estimated | Standard | |
| Inform individuals and groups about the financial assistance available to college or university students. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 3 of 30 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 27 of 30. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 90% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 274,330
- Median annual wage
- $76,690
- Middle half of earners
- $52,730 to $104,080
- Projected change, 2024 to 2034
- +1.7%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Loan Interviewers and Clerks 71% skill overlap, about 10 months to move Exposure43
- Credit Analysts 65% skill overlap, about 13 months to move Exposure60
- Credit Authorizers, Checkers, and Clerks 59% skill overlap, about 15 months to move Exposure75
- Financial Examiners 59% skill overlap, about 15 months to move Exposure61
- Securities, Commodities, and Financial Services Sales Agents 59% skill overlap, about 15 months to move Exposure57
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Loan Officers and AI
Will AI replace Loan Officers?
AI already handles 12 of the 30 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 46 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.7% from 2024 to 2034.
What is the AI exposure of Loan Officers?
46 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 3 of the 30 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 27 are estimated from each task's O*NET work activity.
Which Loan Officers tasks can AI already do?
The tasks with the highest exposure are: Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information; Calculate amount of debt and funds available to plan methods of payoff and to estimate time for debt liquidation; Maintain and review account records, updating and recategorizing them according to status changes. They are three of the 12 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 90% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Loan Officers, and what do they earn?
274,330 people in the United States, with a median annual wage of $76,690 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.7% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Loan Officers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/loan-officers
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