BETA
Updated: Mar 2
BETA
Updated: Mar 2
Evolving
Last Update: 2/17/2026
Your role’s AI Resilience Score is
40.3%
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Market Research Analysts and Marketing Specialists
They study market trends and customer preferences to help companies create better products and marketing strategies.
This role is evolving
This career is labeled as "Evolving" because many routine tasks, like data analysis and creating charts, are being automated by AI tools. These tools can quickly handle large amounts of data and generate basic reports, which might reduce the need for some traditional analyst tasks.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
This career is labeled as "Evolving" because many routine tasks, like data analysis and creating charts, are being automated by AI tools. These tools can quickly handle large amounts of data and generate basic reports, which might reduce the need for some traditional analyst tasks.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Changing fast16.0%
16.0%
Microsoft's Working with AI
AI Applicability
Changing fast4.8%
4.8%
Anthropic's Economic Index
AI Resilience
Changing fast13.3%
13.3%
Will Robots Take My Job
Automation Resilience
Evolving45.9%
45.9%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
6.7%
Growth Percentile:
85.0%
Annual Openings:
87,200
Annual Openings Pct:
87.8%
Analysis of Current AI Resilience
Mkt Research & Marketing
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Market research work involves a lot of data work (making surveys, crunching numbers, drawing charts, writing reports). Many companies now use AI-powered analytics tools to handle repetitive parts of this work. For example, AI-driven “augmented analytics” systems can clean and visualize data, spot patterns, and even generate basic charts and summaries [1].
One study found that AI “supports data preparation, visualization, [and] modeling” and helps analysts work faster [1]. In practice, tools can scan sales or social-media data to forecast trends and highlight customer preferences (tasks like “forecast and track marketing trends” or “collect and analyze customer demographics” listed by O*NET) [2] [2]. There are even AI survey assistants: some companies use chatbots to conduct surveys more conversationally [3].
At the same time, most experts say AI is augmenting rather than fully replacing the analyst. The AI systems handle boring bits (like number-crunching), but humans still do the creative judgment. For example, O*NET lists tasks like “prepare reports of findings, illustrating data graphically and translating complex findings into text” [2].
AI can make the graphs, but interviewees and marketers usually write or explain the story. Research emphasizes that AI can’t solve every problem alone – human insight is still needed to interpret results [1]. In short, many steps of data work (charts, summaries, routine analysis) are automated or assisted by AI, but designing surveys, explaining results, and making strategy still rely on people.
Sources
AI in the real world
Why might companies adopt AI in market research? One big reason is that businesses already collect lots of data and need faster ways to use it. The U.S. Labor Dept. notes that analysts now even use online marketing and SEO data [4], so firms are looking for tools to keep up.
Research shows that using AI boosts productivity: it lets analysts scale up work and even enables less-technical staff to run analyses (creating “citizen data scientists”) [1]. In other words, companies can get more insights faster by adding AI to their toolkits. Also, because marketing analysts are moderately well-paid (around \$75,000 median [4]), there’s economic incentive to use software that speeds their work.
Overall demand is strong – this job is a “Bright Outlook” field [2] – so adoption can grow without killing jobs.
But adoption isn’t instant. New AI tools cost money and take effort to learn. Firms must trust AI outputs: for example, privacy rules limit how automatically AI can use customer data or responses.
People worried about data ethics or errors, so companies move carefully. In sum, many firms are experimenting with AI helpers for survey design, data analysis, and reporting, but they usually keep a human in charge. The hopeful takeaway is that AI can take over some routine tasks – letting people focus on interpreting reports, thinking creatively about markets, and communicating insights – so workers and machines can cooperate rather than compete [1] [3].
Sources
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More Career Info
Career: Market Research Analysts and Marketing Specialists
Parent Careers
Employment & Wage Data
Median Wage
$76,950
Jobs (2024)
941,700
Growth (2024-34)
+6.7%
Annual Openings
87,200
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Attend staff conferences to provide management with information and proposals concerning the promotion, distribution, design, and pricing of company products or services.
2
Direct trained survey interviewers.
3
Develop and implement procedures for identifying advertising needs.
4
Seek and provide information to help companies determine their position in the marketplace.
5
Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals.
6
Measure and assess customer and employee satisfaction.
7
Measure the effectiveness of marketing, advertising, and communications programs and strategies.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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