π‘ Real Estate Brokers have a composite risk score of 63/100 (Frey-Osborne probability: 97%, GenAI exposure: 74/100). With 49,590 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 49,590 workers and a median wage of $72K,real estate brokers represent a significant portion of the US workforce. Their GenAI exposure index is 74%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
63/100
Employment
49,590
Median Wage
$72K
GenAI Exposure
74%
β οΈ Top Risk Factors
Automated data interpretation and insight generation
AI-generated written content replacing manual drafting
AI-powered product recommendation engines
E-commerce automation reducing in-store sales staff
π‘οΈ Tasks AI Can't Easily Replace
Building long-term client relationships and trust
In-person product demonstrations and hands-on experience
Resolving novel customer complaints with empathy
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
59% skills overlap Β· $145K median wage
Education Administrators, All Other
69% skills overlap Β· $89K median wage
Architectural and Engineering Managers
65% skills overlap Β· $168K median wage
β Frequently Asked Questions
Will AI completely replace real estate brokers?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for real estate brokers?
Real Estate Brokers have a composite AI automation risk score of 63 out of 100, classified as "High Risk".
How many real estate brokers are there in the US?
There are approximately 49,590 real estate brokers employed in the United States.
What do real estate brokers earn?
The median annual wage for real estate brokers is $72K.
What skills should real estate brokers develop?
Focus on tasks AI can't easily replicate: building long-term client relationships and trust, in-person product demonstrations and hands-on experience, resolving novel customer complaints with empathy. These human-centric skills will become more valuable as routine tasks are automated.