Conduct research on consumer opinions and buying habits, and identify target audiences for products, services, or techn…
Conduct research on consumer opinions and buying habits, and identify target audiences for products, services, or technologies.
Task automation exposure
High exposure
Exposure basis
[v4/median] score 68 (raw 68 | A 68 / B 85 / C 65 | modality: other) AI can automatically gather, process, and segment large consumer data sets and generate insightful reports, but nuanced strategic interpretation and contextual judgment still rely on human expertise. (capable: AI-driven market research and analytics platforms (e.g., NLP sentiment analysis, clustering, audience segmentation tools)
0 capabilities · 1 occupations
Basis
How exposure was assessed
[v4/median] score 68 (raw 68 | A 68 / B 85 / C 65 | modality: other) AI can automatically gather, process, and segment large consumer data sets and generate insightful reports, but nuanced strategic interpretation and contextual judgment still rely on human expertise. (capable: AI-driven market research and analytics platforms (e.g., NLP sentiment analysis, clustering, audience segmentation tools)
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Occupations
Occupations that perform this task (1)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
|---|---|---|---|---|
| Advertising and Promotions Managers | Cross-industry | 3.7/5 | core | 14 |
Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.