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Short answer
Can AI replace market research analysts? Not as a whole job, based on public evidence as of November 2026. The tools cited here do parts of the work: moderating customer interviews, drafting short surveys, writing desk research with citations, and turning survey data into report drafts and charts. None of the cited sources shows an agent doing the whole job, and the stories that describe production use name a researcher who leads the work. Forecasting, measuring whether a program worked, supervising interviewers and telling management what to do next have no cited agent doing them.
For a team lead, the practical answer is that an analyst can spend less time on fieldwork and first drafts and more on checking and interpreting. Whether that cuts the analyst hours your team needs is not something the sources establish.
Two pieces of public data frame the role. The U.S. Bureau of Labor Statistics (BLS) reports one combined occupation, market research analysts and marketing specialists (SOC 13-1161). Its median annual wage was $78,760 in May 2025, about $37.87 an hour, and the occupation held about 952,700 jobs in 2025. BLS projects employment to grow 7% from 2025 to 2035, "much faster than the average for all occupations," with about 82,000 openings a year. BLS expects growth to be driven by "an increasing use of data and market research across many industries." That is BLS's projection for the occupation, not a claim about any single team.
Task by task
The table below starts from the 13 task statements O*NET lists for market research analysts and marketing specialists (code 13-1161.00), merged into 11 tasks a manager would recognize. A task is marked for an agent only where a cited source documents AI doing it. Where O*NET lists the task but no cited source shows an agent doing it, the task is marked human, and the note says so.
Agent
0of 11
Agent with review
6of 11
- Monitor industry statistics, trade literature and market trends
- Gather data on competitors' prices, sales, marketing and distribution
- Design surveys, questionnaires and other data collection methods
- Conduct consumer research through interviews
- Analyze customer demographics, preferences, needs and buying habits
- Prepare reports with charts and plain-language findings
Human
5of 11
- Measure customer satisfaction and the effectiveness of marketing programs
- Forecast and track marketing and sales trends
- Direct trained survey interviewers
- Present findings and proposals on pricing, promotion and product to management
- Identify advertising needs
11 tasks: 0 agent, 6 agent with review, 5 human
| Task | Who does it | Why |
|---|---|---|
| Monitor industry statistics, trade literature and market trends | Agent with review | OpenAI documents deep research searching the web or sites you choose and returning a report with citations so you can verify it, which means a person must. |
| Gather data on competitors' prices, sales, marketing and distribution | Agent with review | OpenAI documents restricting deep research to websites you enter and returning cited reports; no source here measures its accuracy on competitor data, so an analyst checks each figure. |
| Design surveys, questionnaires and other data collection methods | Agent with review | Morning Consult says its Smart Survey designs a survey of up to 10 questions from a plain-language description; ESOMAR asks suppliers how such output is verified. |
| Conduct consumer research through interviews | Agent with review | Outset and Listen Labs customer stories describe AI moderators running 75 and 150+ interviews, each study led by a named in-house researcher. |
| Analyze customer demographics, preferences, needs and buying habits | Agent with review | Outset says its synthesis tools let Away's researcher go straight to the biggest takeaways, which she then interpreted; Microsoft says Copilot in Excel can produce inaccurate results. |
| Prepare reports with charts and plain-language findings | Agent with review | Morning Consult says its AI Research Agents generate editable PowerPoint reports, and Microsoft documents Copilot in Excel creating charts; both outputs need checking. |
| Measure customer satisfaction and the effectiveness of marketing programs | Human | This is an O*NET task; no source cited here documents an agent running the measurement end to end, so it stays human here. |
| Forecast and track marketing and sales trends | Human | This is an O*NET task; no cited source documents an agent producing sales forecasts in production. |
| Direct trained survey interviewers | Human | This is an O*NET task about supervising people; no cited source documents an agent doing it. |
| Present findings and proposals on pricing, promotion and product to management | Human | In Away's story the researcher drew the conclusion, and ESOMAR lists final decisions made by humans as a form of human oversight. |
| Identify advertising needs | Human | This is an O*NET task; no cited source documents an agent doing it. |
On that standard, 0 of 11 tasks are ones an agent completes with only spot checks, 6 of 11 are ones a documented AI tool does with a person reviewing the output, and 5 of 11 stay with a person. The six are monitoring trends, gathering competitor data, designing surveys, running interviews, analyzing customer data and preparing reports.
The evidence comes from five organizations, each describing its own product or customer.
- Outset. In Outset's customer story, Away's one-person UX research team ran 75 interviews overnight, and a study that used to take a month took less than two weeks. The researcher said she left "the interview process and the first analysis portion" to Outset, and she drew the conclusion herself.
- Listen Labs. Listen Labs' story lists 150+ global, multilingual interviews and a 24-hour turnaround among Microsoft's results. A Microsoft senior research manager is quoted saying she can reach "hundreds of users at one third of the cost." The story does not state the baseline.
- Morning Consult. Morning Consult says it collects 30,000 consumer interviews a day, that its AI Research Agents generate editable PowerPoint reports on brand reputation, customer targeting and company performance, and that its Smart Survey designs a survey of up to 10 questions from a plain-language description. These are the vendor's own descriptions.
- OpenAI. OpenAI documents deep research proposing a research plan you can edit, searching the public web or sites you specify, and returning a report with "citations or source links so you can verify the information."
- Microsoft. Microsoft's support page says Copilot in Excel can create charts and PivotTables and "can sometimes make mistakes, misinterpret information, or produce inaccurate results." It advises avoiding Copilot "for decisions in sensitive areas such as finance."
A survey of researchers shows the same review habit. Displayr, an analysis software vendor, surveyed 203 market researchers through its AI Readiness Quiz in March 2026. 67% said they double-check every AI output, and 10% said they were very confident in its accuracy. That is a vendor's self-selected sample, not a census of the profession.
A worked example
This is an illustration, not a reported case. Assume, for this example, that a consumer brand asks its analyst why repeat purchases fell last quarter. The analyst writes three questions and approves an AI-drafted discussion guide. An AI moderator interviews 50 recent customers over two days, and the platform's synthesis says 21 of them mention delivery times. A deep research report adds competitors' published shipping policies, with links.
The analyst opens the transcripts and finds that eight of the 21 raised delivery only after the moderator asked about it. Two competitor links lead to pages that no longer show the policy cited. The analyst drops those claims, reweights the theme and tells management that delivery is one factor among several, worth a test before a policy change. The AI gathered and sorted. The analyst caught the overcount and the dead sources and owned the advice.
Jobs you can hand to an agent today
The documented tasks group into separate jobs, each with its own page covering what to give the agent, a brief you can copy, risks and how to run a trial.
- JobSupervisedAI agent for market research: what it does and needs
An AI agent can moderate customer interviews at scale, draft short surveys and produce cited desk research. A researcher still designs the study, checks every source and quote, and decides what the findings mean.
- JobSupervisedAI agent for competitive intelligence: what it does
An AI agent can watch competitor sites, pull competitor mentions out of sales calls and win-loss notes, and draft battlecard updates with the source behind each change. A person reviews every change before it reaches sellers and owns positioning and strategy.
- JobSupervisedAI deep research agent: what it can do for reports
An AI research agent can turn a question into a plan, read many sources and draft a cited report. A person still sets the question, checks every claim that matters against its source and owns the conclusions.
Ready
0of 3
Supervised
3of 3
Assist only
0of 3
Not yet
0of 3
- Market research covers interview studies, short surveys, synthesis and findings reports.
- Competitive intelligence covers tracking competitors' prices, launches and positioning.
- Deep research reports covers cited desk research on markets, trends and players.
If you are deciding where to start, look at market research. Four of the six documented tasks above (designing surveys, running interviews, analyzing customer data and preparing reports) belong to it. In a trial, one way to judge it is to count how many quotes, counts and citations your analyst had to correct against the transcripts and sources.
What stays human
Four things stay with a person in the evidence cited here.
Checking what the AI produces. ESOMAR's buyer checklist says generative AI "can sometimes produce biased, incorrect or otherwise misleading answers" and may have limited knowledge of events after a particular date. It asks suppliers how they identify "hallucinations," how they validate synthetic data against real-world results, and how they keep it apart from data from real people. Someone who knows the market has to check sources, quotes and counts before anyone relies on them. ESOMAR issued the checklist in March 2024; it stays here because it is the industry body's checklist for buyers of AI research services and no newer edition was found.
The conclusion and the recommendation. O*NET lists giving management information and proposals on promotion, distribution, design and pricing. In the cited stories, the researcher interprets the findings. ESOMAR names "final decisions being made by humans" among the forms of human oversight it asks suppliers about.
Forecasting and measuring results. O*NET lists forecasting marketing and sales trends and measuring the effectiveness of marketing programs and customer satisfaction. No cited source shows an agent doing either end to end.
People. O*NET lists directing trained survey interviewers and collaborating with marketing staff, statisticians and pollsters. No cited source shows an agent supervising people. Participants also need to know when they are talking to an AI: ESOMAR asks suppliers to explain when AI is used in any part of the service and to address consent where it is required. Ask counsel which obligations apply to your studies.
A setup the cited sources support is AI running fieldwork, first-pass analysis and draft reports, and an analyst designing the study, checking the evidence and making the call. When the job board opens, you will be able to post that kind of job below.
Sources
- 13-1161.00 - Market Research Analysts and Marketing Specialists
O*NET OnLine (U.S. Department of Labor)PrimaryAccessed Nov 14, 2026
- Market Research Analysts: Occupational Outlook Handbook
U.S. Bureau of Labor StatisticsPrimaryAccessed Nov 14, 2026
- 20 Questions to Help Buyers of AI-Based Services for Market Research and Insights (March 2024)
ESOMARPrimaryAccessed Nov 14, 2026
- Deep research in ChatGPT
OpenAI Help CenterPrimaryAccessed Nov 14, 2026
- Frequently asked questions about Copilot in Excel
MicrosoftPrimaryAccessed Nov 14, 2026
- How Microsoft uses Listen Labs to better understand their customers
Listen LabsVendorAccessed Nov 14, 2026
- How Away's Lone Researcher Used Outset to Conduct 75 Interviews Overnight
OutsetVendorAccessed Nov 14, 2026
- Morning Consult Intelligence: Always-On Market Platform
Morning ConsultVendorAccessed Nov 14, 2026
- AI & Market Research: Adoption Is Near-Universal, Trust Is Not
DisplayrVendorAccessed Nov 14, 2026
What we could not verify
- Independent accuracy rates for AI-moderated interviews, AI-written survey questions or AI desk research in market research. No cited source reports one; the production accounts are vendor customer stories.
- What share of a market research analyst's working time the documented tools cover. No source quantifies it, so the page makes no share-of-work claim.
- Production evidence of agents forecasting sales trends, measuring marketing or satisfaction programs end to end, directing survey interviewers, or setting advertising needs. Those tasks are marked human for that reason, not because an agent provably cannot do them.
- Whether these tools reduce the number of analyst hours a team needs. Microsoft's "one third of the cost" quote in Listen Labs' story does not state its baseline.
- BLS and O*NET publish one combined occupation, market research analysts and marketing specialists (SOC 13-1161). No separate wage or headcount for market research analysts alone was found.
- Published per-task prices for an agent covering this role. The vendors cited direct buyers to a demo or sales contact on the pages read, so no cost comparison is given.
Related
- AI agents for research: jobs they do and how to hire one
- AI agent for market research: what it does and needs
- AI agent for competitive intelligence: what it does
- AI deep research agent: what it can do for reports
- Can AI replace research assistants? A task-by-task answer
- How to hire an AI agent: scope, brief, trial, supervision