68
/100

SOC 13-2072

Loan Officers

High RiskFrey/Osborne: 98.0%

Risk Score

โš ๏ธ

68/100

High Risk

US Employment

๐Ÿ‘ฅ

290,530

Total workers

Median Wage

๐Ÿ’ฐ

$74K

$38K โ€“ $146K

Projected Growth

๐Ÿ“ˆ

+1.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Loan Officers face a risk score of 68/100 โ€” 24 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $74K ($28K 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 68/100, Loan Officers faces moderate automation pressure. While tasks like ai-powered research and literature review tools are increasingly handled by AI, the role retains significant human elements. The 290,530 workers in this occupation should focus on strengthening skills in strategic advisory requiring deep client relationship knowledge and navigating regulatory ambiguity and compliance judgment to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Loan Officers?

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

โš ๏ธ Top Risk Factors

1

AI-powered research and literature review tools

2

Algorithmic trading and AI portfolio management

3

Automated data interpretation and insight generation

4

Automated financial reporting and reconciliation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Strategic advisory requiring deep client relationship knowledge

โœ“

Navigating regulatory ambiguity and compliance judgment

โœ“

Ethical judgment in fiduciary and advisory roles

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

Meet with applicants to obtain information for loan applications and to answer questions about the process.

โ€ข

Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.

โ€ข

Approve loans within specified limits, and refer loan applications outside those limits to management for approval.

โ€ข

Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.

โ€ข

Submit applications to credit analysts for verification and recommendation.

๐Ÿ’ป Technology Skills

โ€ข

Financial analysis software

โ€ข

Accounting software

โ€ข

Information retrieval or search software

โ€ข

Development environment software

โ€ข

Transaction server software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Economics and Accounting

โ€ข

English Language

โ€ข

Mathematics

โ€ข

Sales and Marketing

๐Ÿ“Š vs National Average

Median Wage$74K
+$28K

National avg: $46K

Risk Score68/100
+24

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth1.7%
-2.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K69%
Lawyers, Judges, and Related Workers17$144K67%
Business Operations Specialists28$80K80%