Analyze market or customer related data.
Detailed work activity
Analyze market or customer related data. is a detailed work activity in O*NET — a concrete unit of work shared across 5 occupations and seen in 10 occupation-specific tasks. It rolls up into the broader work activity Analyze market or industry conditions. in Analyzing Data or Information .
Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.
AI exposure
Of the 10 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 10 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
The Anthropic Economic Index observes real AI use on 7 of these tasks, with a mean mapped-usage share of 0.011% per task.
Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.
Member tasks
Occupation-specific tasks O*NET maps to this detailed work activity, most important first.
- Identify and analyze industry or geographic trends with business strategy implications. · Business Intelligence Analysts · importance 3.9 · exposure with tools
- Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management. · Database Architects · importance 3.9 · exposure with tools
- Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. · Business Intelligence Analysts · importance 3.7 · exposure with tools
- Conduct market research analysis to identify search query trends, real-time search and news media activity, popular social media topics, electronic commerce trends, market opportunities, or competitor performance. · Search Marketing Strategists · importance 3.6 · exposure with tools
- Review or evaluate competitive products, film, music, television, and other art forms to generate new game design ideas. · Video Game Designers · importance 3.6 · exposure with tools
- Synthesize current business intelligence or trend data to support recommendations for action. · Business Intelligence Analysts · importance 3.6 · exposure with tools
- Analyze competitive market strategies through analysis of related product, market, or share trends. · Business Intelligence Analysts · importance 3.6 · exposure with tools
- Identify or monitor current and potential customers, using business intelligence tools. · Business Intelligence Analysts · importance 3.5 · exposure with tools
- Analyze technology trends to identify markets for future product development or to improve sales of existing products. · Business Intelligence Analysts · importance 3.2 · exposure with tools
- Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management. · Database Administrators · importance 2.8 · exposure with tools
Occupations that perform this
- Business Intelligence Analysts
- Database Architects
- Search Marketing Strategists
- Video Game Designers
- Database Administrators
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Analyze market or customer related data.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/detailed-activities/analyze-market-or-customer-related-data
Singulariki. (2026). Analyze market or customer related data.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/analyze-market-or-customer-related-data
@misc{singulariki-analyze-market-or-customer-related-data,
title = {Analyze market or customer related data.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/detailed-activities/analyze-market-or-customer-related-data}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.