Will AI replace Market Research Analysts and Marketing Specialists?

There is no dataset that measures "replacement." What we can do is put three independent, published measurements next to each other for Market Research Analysts and Marketing Specialists and let them stand on their own: how much of the work overlaps with what AI can do, what people who use AI in this job actually do with it today, and what the labor market is projected to do. None of these is a forecast of the role disappearing.

1. How much of the work overlaps with AI

Published exposure research places Market Research Analysts and Marketing Specialists at a high exposure level (around the 97th percentile across all occupations). Exposure measures the share of tasks that overlap with current AI capabilities — it is not a measure of how many of those tasks will actually be automated, or on what timeline, or whether the role as a whole goes away. · AI assistant applicability (Microsoft)

A second, independent read agrees on the order of magnitude: the ILO's 2025 global study — scored on the international ISCO-08 system and bridged to Market Research Analysts and Marketing Specialists through the published (approximate) O*NET-SOC crosswalk — places this work around the 93rd percentile of 427 occupations, with about 55% of its tasks exposed (up from 51% in 2023). See the gradient →

2. What people actually do with AI here today

In observed AI conversations mapped to this occupation, usage leans toward automation — whole tasks handed to AI (47.8% of measured use) over working alongside it (47.2% augmentation-leaning). This is a sample of Claude.ai conversations, model-rated, not a census of the whole workforce. · Anthropic Economic Index

Tasks more often handed to AI

• Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand. · 7.0% of measured use
• Gather data on competitors and analyze their prices, sales, and method of marketing and distribution. · 3.8% of measured use
• Measure the effectiveness of marketing, advertising, and communications programs and strategies. · 3.4% of measured use
• Seek and provide information to help companies determine their position in the marketplace. · 3.1% of measured use
• Prepare reports of findings, illustrating data graphically and translating complex findings into written text. · 2.1% of measured use

Tasks where a human is still in the loop

• Seek and provide information to help companies determine their position in the marketplace. · human still needed in 99.0% of cases
• Gather data on competitors and analyze their prices, sales, and method of marketing and distribution. · human still needed in 98.7% of cases
• Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals. · human still needed in 97.2% of cases
• Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand. · human still needed in 93.3% of cases
• Forecast and track marketing and sales trends, analyzing collected data. · human still needed in 92.6% of cases

3. What the labor market is projected to do

The Bureau of Labor Statistics projects employment for this occupation as about average (+6.7% over 2024–34) , with roughly 87,200 openings projected per year (growth plus replacement). A projection is a model of the labor market, made before AI's full effect is known — but it is the closest thing we have to an official outlook. · BLS Employment Projections

The skills that travel either way

Whatever AI does to the tasks, these are the highest-importance capabilities this work runs on — the ones worth deepening because they transfer across how the job evolves.

• English Language
• Customer and Personal Service
• Inductive Reasoning
• Sales and Marketing
• Mathematics

The honest bottom line

Unlikely — the labor market is still projected to add these jobs, even as AI reshapes the tasks. Exposure is task overlap, not a verdict. Observed use is a sample, not the whole workforce. The employment projection is a model, not a promise. They measure different things and they do not have to agree. Read them together, see the full Market Research Analysts and Marketing Specialists profile for the underlying numbers, and draw your own conclusion.

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@misc{singulariki-will-ai-replace-market-research-analysts-and-marketing-specialists,
  title  = {Will AI replace Market Research Analysts and Marketing Specialists?},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/questions/will-ai-replace-market-research-analysts-and-marketing-specialists}
}