π‘ Survey Researchers have a composite risk score of 51/100 (Frey-Osborne probability: 23%, GenAI exposure: 84/100). With 7,720 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 7,720 workers and a median wage of $63K,survey researchers represent a significant portion of the US workforce. Their GenAI exposure index is 84%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
51/100
Employment
7,720
Median Wage
$63K
GenAI Exposure
84%
β οΈ Top Risk Factors
Automated data interpretation and insight generation
Chatbot displacement of customer-facing interactions
Automated laboratory instrumentation and workflows
AI-accelerated data analysis and pattern recognition
π‘οΈ Tasks AI Can't Easily Replace
Designing novel experiments and research methodologies
Interpreting ambiguous results with domain expertise
Fieldwork in unstructured natural environments
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 survey researchers?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for survey researchers?
Survey Researchers have a composite AI automation risk score of 51 out of 100, classified as "Elevated".
How many survey researchers are there in the US?
There are approximately 7,720 survey researchers employed in the United States.
What do survey researchers earn?
The median annual wage for survey researchers is $63K.
What skills should survey researchers develop?
Focus on tasks AI can't easily replicate: designing novel experiments and research methodologies, interpreting ambiguous results with domain expertise, fieldwork in unstructured natural environments, collaborative scientific discourse and peer review. These human-centric skills will become more valuable as routine tasks are automated.