AI exposure: Loan Officers
Evaluate, authorize, or recommend approval of commercial, real estate, or credit loans. Advise borrowers on financial status and payment methods. Includes mortgage loan officers and agents, collection analysts, loan servicing officers, loan underwriters, and payday loan officers.
Reading this score
computed48.3% of this occupation's weighted task load is exposed, which puts Loan Officers at the 87th percentile of 923 occupations. The capability is largely there. Its average task scores 3.2 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.
What holds the line here is context. Across this occupation's 30 tasks it averages 1.98 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.
The most exposed thing this job does is Analyze potential loan markets and develop referral networks to locate prospects for loans, at 86.7%. The least is Supervise loan personnel, at 13.3%. A gap of 73.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within business and financial operations occupations, this one is more exposed than most. The median across the 48 roles in the group is 47.1%, and only 21 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 30 tasks, 21 are currently banded exposed, 8 assisted and 1 untouched. For that distribution to shift materially would take a change in who is permitted to sign the work, which is a question for regulators rather than for engineers. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Task by task
30 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Analyze potential loan markets and develop referral networks to locate prospects for loans. | 86.7% | 13.3% | 0.0% | 3.75 | exposed |
| Compute payment schedules. | 80.0% | 20.0% | 0.0% | 3.57 | exposed |
| Calculate amount of debt and funds available to plan methods of payoff and to estimate time for debt liquidation. | 80.0% | 20.0% | 0.0% | – | exposed |
| Handle customer complaints and take appropriate action to resolve them. | 73.3% | 26.7% | 0.0% | 3.96 | exposed |
| Contact applicants or creditors to resolve questions about applications or to assist with completion of paperwork. | 73.3% | 26.7% | 0.0% | – | exposed |
| Maintain and review account records, updating and recategorizing them according to status changes. | 73.3% | 26.7% | 0.0% | – | exposed |
| Review billing for accuracy. | 73.3% | 26.7% | 0.0% | – | exposed |
| Contact borrowers with delinquent accounts to obtain payment in full or to negotiate repayment plans. | 66.7% | 33.3% | 0.0% | – | exposed |
| Match individuals' needs and eligibility with available financial aid programs to provide informed recommendations. | 63.3% | 36.7% | 0.0% | – | exposed |
| Review loan agreements to ensure that they are complete and accurate according to policy. | 60.0% | 40.0% | 0.0% | 4.14 | exposed |
| Prepare reports to send to customers whose accounts are delinquent, and forward irreconcilable accounts for collector action. | 60.0% | 40.0% | 0.0% | 3.39 | exposed |
| Review and update credit and loan files. | 58.3% | 29.2% | 12.5% | 4.13 | exposed |
| Market bank products to individuals and firms, promoting bank services that may meet customers' needs. | 55.0% | 20.0% | 25.0% | 3.79 | exposed |
| Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information. | 50.0% | 25.0% | 25.0% | 4.13 | exposed |
| Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans. | 46.7% | 53.3% | 0.0% | 4.57 | assisted |
| Submit applications to credit analysts for verification and recommendation. | 45.0% | 30.0% | 25.0% | 4.19 | exposed |
| Assist in selection of financial award candidates using electronic databases to certify loan eligibility. | 45.0% | 30.0% | 25.0% | – | exposed |
| Review accounts to determine write-offs for collection agencies. | 45.0% | 30.0% | 25.0% | – | exposed |
| Explain to customers the different types of loans and credit options that are available, as well as the terms of those services. | 40.0% | 35.0% | 25.0% | 4.33 | exposed |
| Set credit policies, credit lines, procedures and standards in conjunction with senior managers. | 40.0% | 35.0% | 25.0% | 3.08 | exposed |
| Stay abreast of new types of loans and other financial services and products to better meet customers' needs. | 36.7% | 13.3% | 50.0% | 3.87 | exposed |
| Confer with underwriters to resolve mortgage application problems. | 35.0% | 40.0% | 25.0% | – | assisted |
| Inform individuals and groups about the financial assistance available to college or university students. | 35.0% | 40.0% | 25.0% | – | assisted |
| Counsel clients on personal and family financial problems, such as excessive spending or borrowing of funds. | 30.0% | 45.0% | 25.0% | – | assisted |
| Meet with applicants to obtain information for loan applications and to answer questions about the process. | 26.7% | 23.3% | 50.0% | 4.61 | exposed |
| Work with clients to identify their financial goals and to find ways of reaching those goals. | 25.0% | 50.0% | 25.0% | 3.97 | assisted |
| Establish payment priorities according to credit terms and interest rates to reduce clients' overall costs. | 25.0% | 50.0% | 25.0% | – | assisted |
| Approve loans within specified limits, and refer loan applications outside those limits to management for approval. | 23.3% | 26.7% | 50.0% | 4.40 | assisted |
| Authorize or sign mail collection letters. | 23.3% | 26.7% | 50.0% | – | assisted |
| Supervise loan personnel. | 13.3% | 11.7% | 75.0% | 3.92 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 13 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 3.22 | 0-4 |
| Embodiment | 0.07 | 0-3 |
| Presence | 0.68 | 0-3 |
| Accountability | 1.55 | 0-3 |
| Context | 1.98 | 0-3 |
| Verification cost | 1.70 | 0-3 |
What this means in practice
Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.