π‘ Tellers have a composite risk score of 86/100 (Frey-Osborne probability: 98%, GenAI exposure: 87/100). With 339,340 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Highly likely. Most core tasks face imminent automation pressure.
With 339,340 workers and a median wage of $39K,tellers represent a significant portion of the US workforce. Their GenAI exposure index is 87%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
86/100
Employment
339,340
Median Wage
$39K
GenAI Exposure
87%
β οΈ Top Risk Factors
AI-powered email triage and response drafting
AI scheduling and calendar management assistants
Chatbot displacement of customer-facing interactions
Automated data interpretation and insight generation
Automated invoice and expense processing
π‘οΈ Tasks AI Can't Easily Replace
Managing sensitive interpersonal workplace situations
Building trust-based relationships with executives
Handling confidential and politically sensitive information
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Supervisors of Office and Administrative Support Workers
81% skills overlap Β· $66K median wage
Education Administrators, All Other
55% skills overlap Β· $89K median wage
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
50% skills overlap Β· $145K median wage
β Frequently Asked Questions
Will AI completely replace tellers?
Highly likely. Most core tasks face imminent automation pressure.
What is the AI risk score for tellers?
Tellers have a composite AI automation risk score of 86 out of 100, classified as "Very High Risk".
How many tellers are there in the US?
There are approximately 339,340 tellers employed in the United States.
What do tellers earn?
The median annual wage for tellers is $39K.
What skills should tellers develop?
Focus on tasks AI can't easily replicate: managing sensitive interpersonal workplace situations, building trust-based relationships with executives, handling confidential and politically sensitive information. These human-centric skills will become more valuable as routine tasks are automated.