Share and intensity of work current AI systems can materially affect.
Market Research Analysts AI displacement risk
Summarization, draft segmentation, and desk research are exposed, but domain judgment, study design, stakeholder context, and synthesis make this a strong augmentation case.
Likely potential for exposed tasks to move to software after workflow integration.
The role changes most where analysis is treated as report production. It is more resilient where analysts own framing, interpretation, and decisions.
Task profile
Where AI changes the work
Summarize survey responses
Exposure 72, automation 52%, augmentation 66%.
Draft audience segments
Exposure 58, automation 35%, augmentation 70%.
Design research plan
Exposure 36, automation 14%, augmentation 58%.
Advise stakeholders
Exposure 25, automation 8%, augmentation 42%.
Transition pathways
Adjacent moves that preserve existing skills
role redesign
Moderate Insights Strategist
Training horizon: 3-6 months. Skill overlap 80. Wage preservation signal 104.
- Lead stakeholder framing
- Design decision-ready artifacts
- Validate model-generated themes
adjacent role
Moderate User Researcher
Training horizon: 4-9 months. Skill overlap 68. Wage preservation signal 98.
- Practice interview guides
- Build usability test plans
- Synthesize mixed evidence
Labor-market context
Median wage: $76,950. Employment context: Growing knowledge-work role. Typical education: Bachelor's degree.
- Moderate displacement pressure
- High productivity upside
- Human validation remains important
Sources
Evidence trail
International Labour Organization / 2025 Generative AI and Jobs: A Refined Global Index of Occupational Exposure McKinsey Global Institute / 2023 Generative AI and the Future of Work in America O*NET / current public database Occupation, task, skill, and work-activity data US Bureau of Labor Statistics / current public release Occupational Employment and Wage Statistics