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Science & Research · Updated Aug 2026

Survey Researchers

Plan, develop, or conduct surveys. May analyze and interpret the meaning of survey data, determine survey objectives, or suggest or test question wording. Includes social scientists who primarily design questionnaires or supervise survey teams.

JVS 2.0.0-phase4b
AI Exposure
69/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
65/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence83/100
Task coverage87%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, literature reviews, and file reviews.High
74
Support, plan, and coordinate operations for single or multiple surveys.High
72
Collaborate with other researchers in the planning, implementation, and evaluation of surveys.High
74
Direct and review the work of staff members, including survey support staff and interviewers who gather survey data.High
68
Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.High
76
Determine and specify details of survey projects, including sources of information, procedures to be used, and the design of survey instruments and materials.High
75
Monitor and evaluate survey progress and performance, using sample disposition reports and response rate calculations.High
57
Direct updates and changes in survey implementation and methods.High
76
Analyze data from surveys, old records, or case studies, using statistical software.Medium
75
Review, classify, and record survey data in preparation for computer analysis.Medium
75
Produce documentation of the questionnaire development process, data collection methods, sampling designs, and decisions related to sample statistical weighting.High
66
Consult with clients to identify survey needs and specific requirements, such as special samples.High
41
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.76
  2. Direct updates and changes in survey implementation and methods.76
  3. Determine and specify details of survey projects, including sources of information, procedures to be used, and the design of survey instruments and materials.75
  4. Analyze data from surveys, old records, or case studies, using statistical software.75
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Consult with clients to identify survey needs and specific requirements, such as special samples.01
  2. Monitor and evaluate survey progress and performance, using sample disposition reports and response rate calculations.02
  3. Support, plan, and coordinate operations for single or multiple surveys.03
  4. Collaborate with other researchers in the planning, implementation, and evaluation of surveys.04
  5. Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency62
Physical dependency17
Adoption pressure66
Labour-market resilience54
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →