π‘ Models have a composite risk score of 68/100 (Frey-Osborne probability: 98%, GenAI exposure: 78/100). With 5,350 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 5,350 workers and a median wage of $90K,models represent a significant portion of the US workforce. Their GenAI exposure index is 78%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
68/100
Employment
5,350
Median Wage
$90K
GenAI Exposure
78%
β οΈ Top Risk Factors
Automated CRM lead scoring and outreach
Self-checkout and cashierless store technology
E-commerce automation reducing in-store sales staff
Chatbot displacement of customer-facing interactions
π‘οΈ Tasks AI Can't Easily Replace
In-person product demonstrations and hands-on experience
Reading customer emotional cues and adapting approach
Consultative selling for complex or high-value products
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
Architectural and Engineering Managers
55% skills overlap Β· $168K median wage
Fundraising Managers
53% skills overlap Β· $123K median wage
β Frequently Asked Questions
Will AI completely replace models?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for models?
Models have a composite AI automation risk score of 68 out of 100, classified as "High Risk".
How many models are there in the US?
There are approximately 5,350 models employed in the United States.
What do models earn?
The median annual wage for models is $90K.
What skills should models develop?
Focus on tasks AI can't easily replicate: in-person product demonstrations and hands-on experience, reading customer emotional cues and adapting approach, consultative selling for complex or high-value products. These human-centric skills will become more valuable as routine tasks are automated.