π‘ Brokerage Clerks have a composite risk score of 80/100 (Frey-Osborne probability: 98%, GenAI exposure: 84/100). With 40,090 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 40,090 workers and a median wage of $63K,brokerage clerks represent a significant portion of the US workforce. Their GenAI exposure index is 84%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
80/100
Employment
40,090
Median Wage
$63K
GenAI Exposure
84%
β οΈ Top Risk Factors
Large language model automation of analysis tasks
AI-generated written content replacing manual drafting
Smart form extraction replacing manual data processing
Chatbot displacement of customer-facing interactions
AI-powered email triage and response drafting
π‘οΈ Tasks AI Can't Easily Replace
Handling confidential and politically sensitive information
Building trust-based relationships with executives
Exercising discretion in ambiguous administrative decisions
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Supervisors of Office and Administrative Support Workers
84% skills overlap Β· $66K median wage
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
53% skills overlap Β· $145K median wage
Lawyers, Judges, and Related Workers
51% skills overlap Β· $144K median wage
β Frequently Asked Questions
Will AI completely replace brokerage clerks?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for brokerage clerks?
Brokerage Clerks have a composite AI automation risk score of 80 out of 100, classified as "High Risk".
How many brokerage clerks are there in the US?
There are approximately 40,090 brokerage clerks employed in the United States.
What do brokerage clerks earn?
The median annual wage for brokerage clerks is $63K.
What skills should brokerage clerks develop?
Focus on tasks AI can't easily replicate: handling confidential and politically sensitive information, building trust-based relationships with executives, exercising discretion in ambiguous administrative decisions. These human-centric skills will become more valuable as routine tasks are automated.