π‘ Credit Analysts have a composite risk score of 76/100 (Frey-Osborne probability: 98%, GenAI exposure: 95/100). With 67,370 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 67,370 workers and a median wage of $81K,credit analysts 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
76/100
Employment
67,370
Median Wage
$81K
GenAI Exposure
95%
β οΈ Top Risk Factors
Automated financial reporting and reconciliation
AI credit scoring and underwriting models
AI-generated written content replacing manual drafting
Chatbot displacement of customer-facing interactions
Generative AI producing marketing and creative copy
π‘οΈ Tasks AI Can't Easily Replace
Navigating regulatory ambiguity and compliance judgment
Stakeholder management in complex organizational settings
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
65% skills overlap Β· $145K median wage
Lawyers, Judges, and Related Workers
63% skills overlap Β· $144K median wage
Education Administrators, All Other
55% skills overlap Β· $89K median wage
β Frequently Asked Questions
Will AI completely replace credit analysts?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for credit analysts?
Credit Analysts have a composite AI automation risk score of 76 out of 100, classified as "High Risk".
How many credit analysts are there in the US?
There are approximately 67,370 credit analysts employed in the United States.
What do credit analysts earn?
The median annual wage for credit analysts is $81K.
What skills should credit analysts develop?
Focus on tasks AI can't easily replicate: navigating regulatory ambiguity and compliance judgment, stakeholder management in complex organizational settings, ethical judgment in fiduciary and advisory roles. These human-centric skills will become more valuable as routine tasks are automated.