π‘ School Psychologists have a composite risk score of 30/100 (Frey-Osborne probability: 1%, GenAI exposure: 95/100). With 63,830 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 63,830 workers and a median wage of $87K,school psychologists 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
30/100
Employment
63,830
Median Wage
$87K
GenAI Exposure
95%
β οΈ Top Risk Factors
Large language model automation of analysis tasks
AI coding assistants reducing developer demand
AI-powered research and literature review tools
π‘οΈ Tasks AI Can't Easily Replace
Designing novel experiments and research methodologies
Interpreting ambiguous results with domain expertise
Ethical oversight of research involving human subjects
Fieldwork in unstructured natural environments
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
59% skills overlap Β· $226K median wage
Social Scientists and Related Workers
78% skills overlap Β· $93K median wage
Political Scientists
70% skills overlap Β· $139K median wage
β Frequently Asked Questions
Will AI completely replace school psychologists?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for school psychologists?
School Psychologists have a composite AI automation risk score of 30 out of 100, classified as "Moderate".
How many school psychologists are there in the US?
There are approximately 63,830 school psychologists employed in the United States.
What do school psychologists earn?
The median annual wage for school psychologists is $87K.
What skills should school psychologists develop?
Focus on tasks AI can't easily replicate: designing novel experiments and research methodologies, interpreting ambiguous results with domain expertise, ethical oversight of research involving human subjects, fieldwork in unstructured natural environments. These human-centric skills will become more valuable as routine tasks are automated.