AI Delegation Index

What work could you hand off to an AI agent?

Market Research Analysts and Marketing Specialists

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Compare competitor prices and channels

    Use an agent to collect competitor prices, offers, and distribution methods from approved sources, then line up similar products or services so you can see where your pricing sits.

  2. 2

    Summarize market position insights

    Use an agent to pull competitor, category, and channel data from approved reports and web sources, then have it turn the numbers into charts, summaries, and a short brief on where the company stands.

  3. 3

    Update customer segment targets

    Use an agent to combine survey results, CRM exports, and web analytics into customer segments, then have it compare buying patterns and surface which groups look most responsive.

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O*NET-SOC 13-1161.00 · #35 of 923

Result context

How to read this result

Research conditions in local, regional, national, or online markets. Gather information to determine potential sales of a product or service, or plan a marketing or advertising campaign. May gather information on competitors, prices, sales, and methods of marketing and distribution. May employ search marketing tactics, analyze web metrics, and develop recommendations to increase search engine ranking and visibility to target markets.

National position
#35 of 923 occupations
Top 4% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 82/100
Meaningful work covered
82%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Compare competitor prices and channels

How you could use an agent

Use an agent to collect competitor prices, offers, and distribution methods from approved sources, then line up similar products or services so you can see where your pricing sits. You get a benchmark summary and a draft recommendation packet for management review, with stale or mismatched offers already filtered out.

Where you stay involved

You decide whether the comparison is fair, whether the recommendation fits pricing goals, and whether anything needs a closer look before it reaches management.

Review level: High

2

Summarize market position insights

How you could use an agent

Use an agent to pull competitor, category, and channel data from approved reports and web sources, then have it turn the numbers into charts, summaries, and a short brief on where the company stands. You get a cleaner market snapshot that is ready to share internally after you check the source dates and logic.

Where you stay involved

You decide whether the evidence is solid enough to use, and you approve the brief before it is shared with others.

Review level: Medium

3

Update customer segment targets

How you could use an agent

Use an agent to combine survey results, CRM exports, and web analytics into customer segments, then have it compare buying patterns and surface which groups look most responsive. You get a segment matrix and draft notes for campaign planning, with any conflicting signals already highlighted for review.

Where you stay involved

You decide which segments make sense to target, check whether the data window is right, and approve any use involving sensitive audiences.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

79 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency69
AI capability88
Digital actionability91
End-to-end leverage85
Safety & reversibility79
Meaningful-work coverage
82%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
13 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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