As of June 2026, Operations Research Analysts has an AI-exposure score of 60/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Operations Research Analysts

60/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 65% of the roles we track. Median pay ~US$88,940. About 9,600 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How you compare to similar Computer & Mathematical roles

Operations Research Analysts (you)
60
Video Game Designers
60
Mathematicians
59
Computer and Information Research Scientists
59
Biostatisticians
61
Computer User Support Specialists
66
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Your tasks, by AI exposure

Automatable
  • Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.
  • Analyze information obtained from management to conceptualize and define operational problems.
  • Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.
  • Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
  • Define data requirements, and gather and validate information, applying judgment and statistical tests.
  • Develop and apply time and cost networks to plan, control, and review large projects.
Augmentable
  • Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
  • Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
  • Prepare management reports defining and evaluating problems and recommending solutions.
  • Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
  • Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
  • Specify manipulative or computational methods to be applied to models.
  • Educate staff in the use of mathematical models.
  • Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
  • Present the results of mathematical modeling and data analysis to management or other end users.
Durable
  • Review research literature.

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Computer and Information Research Scientists
56% skills overlap · Elevated exposure · ~US$140,300
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Junior Software Developer
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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.