Rankings β Will AI Replaceβ¦
Will AI Replace Psychologists, All Other?
π‘ Psychologists, All Other have a composite risk score of 32/100 (Frey-Osborne probability: 0%, GenAI exposure: 95/100). With 17,790 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 17,790 workers and a median wage of $118K,psychologists, all other 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
32/100
Employment
17,790
Median Wage
$118K
GenAI Exposure
95%
β οΈ Top Risk Factors
AI-accelerated data analysis and pattern recognition
AI-powered research and literature review tools
Large language model automation of analysis tasks
π‘οΈ Tasks AI Can't Easily Replace
Fieldwork in unstructured natural environments
Interpreting ambiguous results with domain expertise
Designing novel experiments and research methodologies
Collaborative scientific discourse and peer review
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
63% skills overlap Β· $226K median wage
Political Scientists
74% skills overlap Β· $139K median wage
Astronomers
70% skills overlap Β· $132K median wage
β Frequently Asked Questions
Will AI completely replace psychologists, all other?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for psychologists, all other?
Psychologists, All Other have a composite AI automation risk score of 32 out of 100, classified as "Moderate".
How many psychologists, all other are there in the US?
There are approximately 17,790 psychologists, all other employed in the United States.
What do psychologists, all other earn?
The median annual wage for psychologists, all other is $118K.
What skills should psychologists, all other develop?
Focus on tasks AI can't easily replicate: fieldwork in unstructured natural environments, interpreting ambiguous results with domain expertise, designing novel experiments and research methodologies, collaborative scientific discourse and peer review. These human-centric skills will become more valuable as routine tasks are automated.