Will AI replace Loan Interviewers and Clerks?
AI reaches a large part of this job’s work.
47/100
High exposure
More exposed to AI than 73% of US workers.
- AI already used in
- 11% of the work
- As AI tools mature: up to
- 83% of the work
What the job involves
Interview loan applicants to elicit information; investigate applicants' backgrounds and verify references; prepare loan request papers; and forward findings, reports, and documents to appraisal department. Review loan papers to ensure completeness, and complete transactions between loan establishment, borrowers, and sellers upon approval of loan.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(2)
- Interview loan applicants to obtain personal and financial data and to assist in completing applications.
- Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts.
Within reach(13)
- Answer questions and advise customers regarding loans and transactions.
- Verify and examine information and accuracy of loan application and closing documents.
- Submit loan applications with recommendation for underwriting approval.
- Record applications for loan and credit, loan information, and disbursements of funds, using computers.
- Contact customers by mail, telephone, or in person concerning acceptance or rejection of applications.
and 8 more
Out of reach(3)
- Check value of customer collateral to be held as loan security.
- Establish credit limits and grant extensions of credit on overdue accounts.
- Order property insurance or mortgage insurance policies to ensure protection against loss on mortgaged property.
Also called
Loan Processor · Loan Representative · Mortgage Loan Processor · Mortgage Processor · Disbursement Clerk · Mortgage Clerk · Mortgage Loan Closer · Loan Assistant
Related jobs
- Loan Officers65/100
- Bill and Account Collectors43/100
- Credit Authorizers, Checkers, and Clerks56/100
- Credit Analysts54/100
- Credit Counselors68/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics