π‘ Loan Officers have a composite risk score of 68/100 (Frey-Osborne probability: 98%, GenAI exposure: 95/100). With 290,530 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 290,530 workers and a median wage of $74K,loan officers represent a significant portion of the US workforce. Their GenAI exposure index is 95%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
68/100
Employment
290,530
Median Wage
$74K
GenAI Exposure
95%
β οΈ Top Risk Factors
AI-powered research and literature review tools
Algorithmic trading and AI portfolio management
Automated data interpretation and insight generation
Automated financial reporting and reconciliation
π‘οΈ Tasks AI Can't Easily Replace
Strategic advisory requiring deep client relationship knowledge
Navigating regulatory ambiguity and compliance judgment
Ethical judgment in fiduciary and advisory roles
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
69% skills overlap Β· $145K median wage
Lawyers, Judges, and Related Workers
67% skills overlap Β· $144K median wage
Business Operations Specialists
80% skills overlap Β· $80K median wage
β Frequently Asked Questions
Will AI completely replace loan officers?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for loan officers?
Loan Officers have a composite AI automation risk score of 68 out of 100, classified as "High Risk".
How many loan officers are there in the US?
There are approximately 290,530 loan officers employed in the United States.
What do loan officers earn?
The median annual wage for loan officers is $74K.
What skills should loan officers develop?
Focus on tasks AI can't easily replicate: strategic advisory requiring deep client relationship knowledge, navigating regulatory ambiguity and compliance judgment, ethical judgment in fiduciary and advisory roles. These human-centric skills will become more valuable as routine tasks are automated.