Rankings β Will AI Replaceβ¦
Will AI Replace Conservation Scientists?
π‘ Conservation Scientists have a composite risk score of 36/100 (Frey-Osborne probability: 2%, GenAI exposure: 75/100). With 25,590 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 25,590 workers and a median wage of $68K,conservation scientists represent a significant portion of the US workforce. Their GenAI exposure index is 75%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
36/100
Employment
25,590
Median Wage
$68K
GenAI Exposure
75%
β οΈ Top Risk Factors
Robotic sample preparation and experimentation
AI literature review and meta-analysis automation
Machine learning models replacing manual hypothesis testing
π‘οΈ Tasks AI Can't Easily Replace
Fieldwork in unstructured natural environments
Interpreting ambiguous results with domain expertise
Ethical oversight of research involving human subjects
Collaborative scientific discourse and peer review
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Social Scientists and Related Workers
75% skills overlap Β· $93K median wage
Political Scientists
82% skills overlap Β· $139K median wage
Occupational Health and Safety Specialists and Technicians
80% skills overlap Β· $79K median wage
β Frequently Asked Questions
Will AI completely replace conservation scientists?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for conservation scientists?
Conservation Scientists have a composite AI automation risk score of 36 out of 100, classified as "Moderate".
How many conservation scientists are there in the US?
There are approximately 25,590 conservation scientists employed in the United States.
What do conservation scientists earn?
The median annual wage for conservation scientists is $68K.
What skills should conservation scientists develop?
Focus on tasks AI can't easily replicate: fieldwork in unstructured natural environments, interpreting ambiguous results with domain expertise, ethical oversight of research involving human subjects, collaborative scientific discourse and peer review. These human-centric skills will become more valuable as routine tasks are automated.