π‘ Fallers have a composite risk score of 57/100 (Frey-Osborne probability: 76%, GenAI exposure: 10/100). With 4,110 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 4,110 workers and a median wage of $54K,fallers represent a significant portion of the US workforce. Their GenAI exposure index is 10%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
57/100
Employment
4,110
Median Wage
$54K
GenAI Exposure
10%
β οΈ Top Risk Factors
Autonomous harvesting and planting machinery
Satellite and sensor-based yield prediction models
Robotic sorting and packing of produce
Drone crop monitoring and precision spraying
π‘οΈ Tasks AI Can't Easily Replace
Operating in unstructured and remote environments
Managing livestock behavior and welfare
Adapting to variable weather and terrain conditions
Sustainable land management judgment calls
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Social Scientists and Related Workers
57% skills overlap Β· $93K median wage
Political Scientists
69% skills overlap Β· $139K median wage
Occupational Health and Safety Specialists and Technicians
67% skills overlap Β· $79K median wage
β Frequently Asked Questions
Will AI completely replace fallers?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for fallers?
Fallers have a composite AI automation risk score of 57 out of 100, classified as "Elevated".
How many fallers are there in the US?
There are approximately 4,110 fallers employed in the United States.
What do fallers earn?
The median annual wage for fallers is $54K.
What skills should fallers develop?
Focus on tasks AI can't easily replicate: operating in unstructured and remote environments, managing livestock behavior and welfare, adapting to variable weather and terrain conditions, sustainable land management judgment calls. These human-centric skills will become more valuable as routine tasks are automated.