As of August 2026, Operations Analyst has an AI-exposure score of 59/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: AI-Safe Careers curated modeled estimate. This curated role has no matched O*NET SOC or empirical occupation signal. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Operations Analyst

59/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 61% of the roles we track. Median pay ~US$78,750.

Pay & demand figures are US medians (in USD; curated approximation (not refreshed from BLS; 2022–32 framing)) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Operations Analyst?

No exposure score can predict whether AI will replace this role. The 59/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 closest reviewed source

Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decisionmaking, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, services, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.

Common titles
Analytical StrategistOperations Research Analyst (Ops Research Analyst)Operations Research Scientist (Ops Research Scientist)ResearcherAdvanced Analytics AssociateDecision Analyst
O*NET job-zone preparation
Job Zone 5 · Extensive Preparation Needed Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Data analysisProcess designSQLMathematicsComputers and ElectronicsEngineering and Technology
Work context
Indoor controlled settingDecision latitudeFrequent contact with others

Source: O*NET 29.1 closest reviewed source - Operations Research Analysts, SOC 15-2031.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Operations Analyst tasks, by AI exposure

Operations Analyst appears under several O*NET occupations. This profile's operational data, dashboards, process diagnosis, and implementation scope aligns with the applied subset of Operations Research Analysts. Advanced mathematical-model construction is excluded so the page does not overstate a general operations role. How we map tasks →

Automatable
  • Analyze operational data
  • Build process dashboards
  • Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules. O*NET: Operations Research Analysts
2 more automatable tasks locked in the report.
Augmentable
  • Identify and recommend improvements
  • Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. O*NET: Operations Research Analysts
4 more augmentable tasks locked in the report.
Durable
  • Partner with teams to implement
  • Present the results of mathematical modeling and data analysis to management or other end users. O*NET: Operations Research Analysts

We analyzed all 13 Operations Analyst tasks - 5 automatable, 6 augmentable and 2 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Product Manager
66% skills overlap; 11 points lower - lower exposure; Moderate band; ~US$134,290
View path
48
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Analyze operational data

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.