π‘ Foresters have a composite risk score of 32/100 (Frey-Osborne probability: 1%, GenAI exposure: 67/100). With 9,650 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 9,650 workers and a median wage of $71K,foresters represent a significant portion of the US workforce. Their GenAI exposure index is 67%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
32/100
Employment
9,650
Median Wage
$71K
GenAI Exposure
67%
β οΈ Top Risk Factors
AI literature review and meta-analysis automation
AI-powered research and literature review tools
AI coding assistants reducing developer demand
π‘οΈ Tasks AI Can't Easily Replace
Designing novel experiments and research methodologies
Interpreting ambiguous results with domain expertise
Collaborative scientific discourse and peer review
Ethical oversight of research involving human subjects
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Social Scientists and Related Workers
82% skills overlap Β· $93K median wage
Political Scientists
74% skills overlap Β· $139K median wage
Occupational Health and Safety Specialists and Technicians
72% skills overlap Β· $79K median wage
β Frequently Asked Questions
Will AI completely replace foresters?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for foresters?
Foresters have a composite AI automation risk score of 32 out of 100, classified as "Moderate".
How many foresters are there in the US?
There are approximately 9,650 foresters employed in the United States.
What do foresters earn?
The median annual wage for foresters is $71K.
What skills should foresters develop?
Focus on tasks AI can't easily replicate: designing novel experiments and research methodologies, interpreting ambiguous results with domain expertise, collaborative scientific discourse and peer review, ethical oversight of research involving human subjects. These human-centric skills will become more valuable as routine tasks are automated.