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AI exposure Office and administrative support

Will AI replace loan interviewers and clerks?

Loan Interviewers and Clerks. US occupation 43-4131.

20.2%

of the time loan interviewers and clerks spend on their work goes on tasks where AI is already being used to do that work.of loan interviewers and clerks' working hours go on tasks AI has already started taking off their plate.

Ranked 118 of 756 US occupations. More exposed than 84% of them.Further along than 84% of them.

Average US job 7.7%

Well above the typical job.Ahead of most of the workforce.

What AI already does for loan interviewers and clerksWhat loan interviewers and clerks no longer do alone

O*NET lists 18 tasks for loan interviewers and clerks. AI use at work shows up in 2 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Interview loan applicants to obtain personal and financial data and to assist in completing applications.Core task mostly automated 0.99
  2. Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts.Core task mostly automated 0.96

What it does not touch, yetWhat still needs a human

16 of the 18 tasks show no AI use at work in the data.

  • Accept payment on accounts.Core task
  • Answer questions and advise customers regarding loans and transactions.Core task
  • Calculate, review, and correct errors on interest, principal, payment, and closing costs, using computers or calculators.Core task
  • Check value of customer collateral to be held as loan security.Core task
  • Contact credit bureaus, employers, and other sources to check applicants' credit and personal references.Core task
  • Contact customers by mail, telephone, or in person concerning acceptance or rejection of applications.Core task
Show the other 10
  • Establish credit limits and grant extensions of credit on overdue accounts.Core task
  • File and maintain loan records.Core task
  • Order property insurance or mortgage insurance policies to ensure protection against loss on mortgaged property.Core task
  • Prepare and type loan applications, closing documents, legal documents, letters, forms, government notices, and checks, using computers.Core task
  • Present loan and repayment schedules to customers.Core task
  • Record applications for loan and credit, loan information, and disbursements of funds, using computers.Core task
  • Review customer accounts to determine whether payments are made on time and that other loan terms are being followed.Core task
  • Schedule and conduct closings of mortgage transactions.Core task
  • Submit loan applications with recommendation for underwriting approval.Core task
  • Verify and examine information and accuracy of loan application and closing documents.Core task

How that compares

Among the 50 office and administrative support occupations, loan interviewers and clerks rank 20. The group averages 19.1%, and its most exposed job is Customer Service Representatives at 70.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 115Counter and Rental Clerks 20.5%
  2. 116Food Science Technicians 20.4%
  3. 117Librarians and Media Collections Specialists 20.3%

Just below

  1. 119Purchasing Managers 20.0%
  2. 120Computer Network Architects 19.9%
  3. 120Radiologists 19.9%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.