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AI Automation Index
Will AI Replace Loan Officers?
Task-level automation exposure for Loan Officers: 30 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
63%
weighted task index
30 of 30 tasks scored
Median Salary
$76,690 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
274,330 people hold this job — size, not growth
Projected 2025–35
+1.1%
employment change
17,100 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$35,730 – $101,600
Highest medians
Massachusetts $101,600
Connecticut $95,730
New York $95,710
Minnesota $95,170
Colorado $94,520
Lowest medians
Puerto Rico $35,730
Virgin Islands $44,780
Guam $45,180
West Virginia $57,580
Utah $59,440
State figures come from the 13-2072 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 63%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 54%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 12%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 11/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
30 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 68%
20 tasks
Medium exposure (≥ 35%) 18%
6 tasks
Low exposure (below 35%) 14%
4 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#3408 · Core · 30% automatable
Meet with applicants to obtain information for loan applications and to answer questions about the process.
interpersonal — Client financial interviews need trust and judgment
Interview clients to gather financial information.
#3409 · Core · 62% automatable
Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.
data analysis — Financial status from documents, human verifies
Assess financial status of clients.
#3407 · Core · 32% automatable
Approve loans within specified limits, and refer loan applications outside those limits to management for approval.
decision support — Financial authorization carries legal accountability
Authorize financial actions.
#3410 · Core · 62% automatable
Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.
data analysis — AI interprets financials; human owns advice
Interpret financial information for others.
#3416 · Core · 65% automatable
Submit applications to credit analysts for verification and recommendation.
text generation — Financial applications filled digitally; human signs off
Submit financial applications.
#3413 · Core · 83% automatable
Review loan agreements to ensure that they are complete and accurate according to policy.
data analysis — Financial accuracy checks, human reviews exceptions
Verify accuracy of financial information.
#3412 · Core · 75% automatable
Review and update credit and loan files.
data analysis — Enter and maintain data in information systems
Examine financial records. Maintain data in information systems or databases.
#3411 · Core · 72% automatable
Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information.
information retrieval — Gather financial records, human verifies authenticity
Gather financial records.
#3418 · Core · 50% automatable
Work with clients to identify their financial goals and to find ways of reaching those goals.
decision support — Financial plans drafted; fiduciary accountability human
Develop financial plans for clients.
#3417 · Core · 72% automatable
Handle customer complaints and take appropriate action to resolve them.
text generation — Written correspondence to customers is largely automatable
Correspond with customers to answer questions or resolve complaints.
#3415 · Core · 78% automatable
Stay abreast of new types of loans and other financial services and products to better meet customers' needs.
information retrieval — AI surfaces updates; human internalizes knowledge
Update professional knowledge.
#3421 · Core · 60% automatable
Market bank products to individuals and firms, promoting bank services that may meet customers' needs.
text generation — Marketing content and plans drafted; human executes
Market products, services, or events.
#3425 · Core · 72% automatable
Analyze potential loan markets and develop referral networks to locate prospects for loans.
data analysis — Market trend analysis from provided data
Analyze market conditions or trends.
#3414 · Core · 88% automatable
Compute payment schedules.
data analysis — Amortization schedule computation
Compute debt repayment schedules.
#3422 · Supplemental · 30% automatable
Supervise loan personnel.
interpersonal — Employee supervision is accountability-bearing human work
Supervise employees.
#3426 · Supplemental · 78% automatable
Prepare reports to send to customers whose accounts are delinquent, and forward irreconcilable accounts for collector action.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets.
#3423 · Supplemental · 55% automatable
Set credit policies, credit lines, procedures and standards in conjunction with senior managers.
decision support — AI drafts guidelines; authority and context are human
Establish organizational guidelines or policies.
#21635 · Core · 75% automatable
Assist in selection of financial award candidates using electronic databases to certify loan eligibility.
decision support — Eligibility screening against rules, human decides edge cases
Verify application data to determine program eligibility.
#21636 · Core · 32% automatable
Authorize or sign mail collection letters.
decision support — Financial authorization carries legal accountability
Authorize financial actions.
#21637 · Core · 88% automatable
Calculate amount of debt and funds available to plan methods of payoff and to estimate time for debt liquidation.
data analysis — Amortization schedule computation
Compute debt repayment schedules.
#21638 · Core · 55% automatable
Confer with underwriters to resolve mortgage application problems.
decision support — Financial conferral aided; judgment and trust human
Confer with others about financial matters.
#21639 · Core · 72% automatable
Contact applicants or creditors to resolve questions about applications or to assist with completion of paperwork.
text generation — Written correspondence to customers is largely automatable
Correspond with customers to answer questions or resolve complaints.
#21640 · Core · 65% automatable
Contact borrowers with delinquent accounts to obtain payment in full or to negotiate repayment plans.
text generation — Status notifications drafted and sent by AI
Inform individuals or organizations of status or findings.
#21641 · Core · 55% automatable
Counsel clients on personal and family financial problems, such as excessive spending or borrowing of funds.
decision support — AI drafts financial guidance; accountability and tailoring human
Advise others on financial matters.
#21642 · Core · 50% automatable
Establish payment priorities according to credit terms and interest rates to reduce clients' overall costs.
decision support — Financial plans drafted; fiduciary accountability human
Develop financial plans for clients.
#21643 · Core · 50% automatable
Inform individuals and groups about the financial assistance available to college or university students.
interpersonal — Client education needs trust and fiduciary accountability
Educate clients on financial planning topics.
#21644 · Core · 85% automatable
Maintain and review account records, updating and recategorizing them according to status changes.
data analysis — Enter and maintain data in information systems
Maintain data in information systems or databases.
#21645 · Core · 61% automatable
Match individuals' needs and eligibility with available financial aid programs to provide informed recommendations.
data analysis — Financial status from documents, human verifies
Assess financial status of clients. Recommend products or services to customers.
#21646 · Core · 65% automatable
Review accounts to determine write-offs for collection agencies.
data analysis — Examines records for anomalies; human validates findings
Examine financial records.
#21647 · Core · 82% automatable
Review billing for accuracy.
data analysis — Cross-checking records against criteria, human spot-checks
Verify accuracy of records.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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