Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.

“Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.” is a core task performed by Market Research Analysts and Marketing Specialists. Among the occupation's 13 rated tasks, workers place it 12th by importance (#2 most important). About 96% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Analyze market or industry conditions. in Analyzing Data or Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.053% share of AI-use records mapped to this task
• 70% of that use is work-related
• Most common interaction: directive
• Average autonomy of the AI: 3.5 (1–5; higher = more autonomous)
• 93% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Prepare reports of findings, illustrating data graphically and translating complex findings into written text. · importance 4.6
• Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals. · importance 4.4
• Measure and assess customer and employee satisfaction. · importance 4.3
• Devise and evaluate methods and procedures for collecting data, such as surveys, opinion polls, or questionnaires, or arrange to obtain existing data. · importance 4.3
• Measure the effectiveness of marketing, advertising, and communications programs and strategies. · importance 4.1
• Seek and provide information to help companies determine their position in the marketplace. · importance 4.0
• Forecast and track marketing and sales trends, analyzing collected data. · importance 4.0
• Gather data on competitors and analyze their prices, sales, and method of marketing and distribution. · importance 4.0
• Monitor industry statistics and follow trends in trade literature. · importance 3.7
• Attend staff conferences to provide management with information and proposals concerning the promotion, distribution, design, and pricing of company products or services. · importance 3.6
• Direct trained survey interviewers. · importance 3.5
• Develop and implement procedures for identifying advertising needs. · importance 3.1

See all tasks on the Market Research Analysts and Marketing Specialists page.

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.

@misc{singulariki-task-5433,
  title  = {Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.},
  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/tasks/task-5433}
}