73
/100

SOC 43-4131

Loan Interviewers and Clerks

High RiskFrey/Osborne: 92.0%

Risk Score

โš ๏ธ

73/100

High Risk

US Employment

๐Ÿ‘ฅ

173,100

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$36K โ€“ $66K

Projected Growth

๐Ÿ“ˆ

-2.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

87/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Loan Interviewers and Clerks face a risk score of 73/100 โ€” 29 points above the national average of 44. With 87/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 73/100, Loan Interviewers and Clerks faces significant automation pressure. Key threats include ai summarization replacing manual report compilation and automated invoice and expense processing. The 173,100 Americans in this role should actively develop skills in building trust-based relationships with executives and exercising discretion in ambiguous administrative decisions to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Loan Interviewers and Clerks?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI summarization replacing manual report compilation

2

Automated invoice and expense processing

3

AI-powered email triage and response drafting

4

AI-generated written content replacing manual drafting

5

Intelligent document processing and OCR automation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Building trust-based relationships with executives

โœ“

Exercising discretion in ambiguous administrative decisions

โœ“

Managing sensitive interpersonal workplace situations

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Verify and examine information and accuracy of loan application and closing documents.

โ€ข

Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts.

โ€ข

Record applications for loan and credit, loan information, and disbursements of funds, using computers.

โ€ข

Submit loan applications with recommendation for underwriting approval.

โ€ข

Contact customers by mail, telephone, or in person concerning acceptance or rejection of applications.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Financial analysis software

โ€ข

Desktop publishing software

โ€ข

Customer relationship management CRM software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Administrative

โ€ข

Computers and Electronics

โ€ข

Law and Government

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score73/100
+29

National avg: 44/100

GenAI Exposure87/100
+49

National avg: 38/100

Projected Growth-2.3%
-6.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K70%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K59%
Lawyers, Judges, and Related Workers17$144K57%