Not Very Resilient
Last Update: 5/19/2026
AI Resilience Score for Survey Researchers:
28.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forSurvey Researchers
$63,380 median salary•700 annual openings•SOC Code: 19-3022.00
Survey Researchers are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Survey research is labeled "Not Very Resilient" because AI is already automating many of the field's most time-consuming tasks — like coding responses, running statistical analysis, and writing reports — which means fewer people are needed to do the work that used to take research teams days or weeks. On top of that, AI tools can now simulate survey respondents entirely, which threatens to reduce the need for traditional data collection altogether, even if those simulations aren't yet fully reliable.
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Survey research is labeled "Not Very Resilient" because AI is already automating many of the field's most time-consuming tasks — like coding responses, running statistical analysis, and writing reports — which means fewer people are needed to do the work that used to take research teams days or weeks. On top of that, AI tools can now simulate survey respondents entirely, which threatens to reduce the need for traditional data collection altogether, even if those simulations aren't yet fully reliable.
Read full analysisAnalysis of Current AI Resilience
Survey Researchers
Updated Quarterly
How is AI changing Survey Researchers jobs?
Survey research is right now being heavily augmented by AI, with some tasks creeping toward true automation. At the industry's biggest 2026 gathering, presenters concluded that "AI in market research has moved from hype to integration. The question is no longer whether to use AI in market research, but where it helps and where it hurts." Insights leaders polled by the Insights Association [1] describe the efficiency gains as transformative rather than incremental, with researchers spending less time executing studies and more on analysis and insight generation.
The most disruptive frontier is "silicon sampling" — using large language models to simulate survey respondents — but Pew Research Center [2] warns that AI estimates tend to stereotype groups of people, have a harder time representing Republican viewpoints than Democratic ones, and understate the level of disagreement in public opinion. Coding, weighting, and statistical analysis are increasingly automated, while consulting, sampling design, and managing field staff remain human work. A Harvard Business School study [3] found that rather than eliminating jobs, generative AI is creating new demand in augmentation-prone roles, suggesting human-AI collaboration is a key driver of labor market transformation.
Sources
How fast is AI adoption growing for Survey Researchers?
Adoption is moving fast because cheap AI tools for survey coding, analysis, and report-writing are already commercially available, and clients want faster turnarounds. BCG's April 2026 analysis [4] projects that over the next two to three years, 50% to 55% of jobs in the US will be reshaped by AI, with analytical roles like survey research squarely in that group. But adoption also faces real brakes: scientific credibility, legal risk, and public trust.
Pew explains that bad actors can use AI to fake survey responses at scale in opt-in panels, opening the door to fraud, which is pushing serious firms toward more rigorous (and more human-intensive) probability sampling. The U.S. Bureau of Labor Statistics [5] projects that most projected job gains through 2034 are in the professional, scientific, and technical services sector, which includes survey research — suggesting the field will shrink in some areas while growing in others. Conference attendees at IIEX 2026 emphasized that the "why" behind human decisions lives in territory AI is not currently equipped to explore, and the design choices that flow from it are still profoundly human work.
If you're curious about this career, the message is hopeful: AI is changing the toolkit, not erasing the job. Skills like client consulting, ethical judgment, study design, and storytelling are becoming more valuable — exactly the human strengths machines can't fake.
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More Career Info
Career: Survey Researchers
They gather and analyze people's opinions by creating and conducting surveys to help companies and organizations make informed decisions.
Parent Careers
Employment & Wage Data
Median Wage
$63,380
Jobs (2024)
8,800
Growth (2024-34)
-5.2%
Annual Openings
700
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Hire and train recruiters and data collectors.
2
Direct and review the work of staff members, including survey support staff and interviewers who gather survey data.
3
Consult with clients to identify survey needs and specific requirements, such as special samples.
4
Direct updates and changes in survey implementation and methods.
5
Support, plan, and coordinate operations for single or multiple surveys.
6
Collaborate with other researchers in the planning, implementation, and evaluation of surveys.
7
Determine and specify details of survey projects, including sources of information, procedures to be used, and the design of survey instruments and materials.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
