π‘ Animal Scientists have a composite risk score of 44/100 (Frey-Osborne probability: 6%, GenAI exposure: 95/100). With 2,470 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 2,470 workers and a median wage of $79K,animal scientists represent a significant portion of the US workforce. Their GenAI exposure index is 95%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
44/100
Employment
2,470
Median Wage
$79K
GenAI Exposure
95%
β οΈ Top Risk Factors
AI-generated written content replacing manual drafting
Chatbot displacement of customer-facing interactions
AI coding assistants reducing developer demand
Automated laboratory instrumentation and workflows
π‘οΈ Tasks AI Can't Easily Replace
Interpreting ambiguous results with domain expertise
Collaborative scientific discourse and peer review
Designing novel experiments and research methodologies
Ethical oversight of research involving human subjects
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
67% skills overlap Β· $226K median wage
Social Scientists and Related Workers
76% skills overlap Β· $93K median wage
Political Scientists
83% skills overlap Β· $139K median wage
β Frequently Asked Questions
Will AI completely replace animal scientists?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for animal scientists?
Animal Scientists have a composite AI automation risk score of 44 out of 100, classified as "Elevated".
How many animal scientists are there in the US?
There are approximately 2,470 animal scientists employed in the United States.
What do animal scientists earn?
The median annual wage for animal scientists is $79K.
What skills should animal scientists develop?
Focus on tasks AI can't easily replicate: interpreting ambiguous results with domain expertise, collaborative scientific discourse and peer review, designing novel experiments and research methodologies, ethical oversight of research involving human subjects. These human-centric skills will become more valuable as routine tasks are automated.