High AI Risk

    Will AI Replace Operations Research Analysts?

    Operations Research Analysts face a 70.8% AI exposure score with a 74% displacement probability. Core tasks in mathematics, mathematics, and mathematical Reasoning are increasingly automatable, though fluency of Ideas and originality provide partial protection. High social interaction provide partial protection.

    O*NET Code: 15-2031.00 · Data from O*NET & BLS · Updated March 2026
    AI Exposure Score
    70.8
    out of 100
    Displacement Prob.
    74%
    likely displaced
    Augmentation
    14%
    AI assists, not replaces
    Confidence
    92%
    analysis confidence
    AI Exposure ScoreA 0–100 scale measuring the overall vulnerability of this role's required skills, knowledge, and abilities.
    Displacement Prob.The estimated likelihood that AI could fully automate and replace the core functions of this occupation.
    AugmentationThe probability that AI will serve as a supportive tool to enhance the worker's productivity rather than replace them.
    ConfidenceThe statistical reliability of these predictions, based on how closely the role's skills map to direct AI benchmarks.
    0 — Safe25 — Low50 — Moderate75 — High100 — Critical

    This occupation scores above the national average of 48/100 by 22.8 points. The primary risk comes from AI's strong performance in mathematical reasoning, representing core functions of this role. However, high social interaction requirements provide meaningful protection.

    Skill-Level Analysis

    Which skills are most at risk?

    Each skill in this occupation analyzed against current AI benchmarks. Higher scores = higher AI exposure.

    Mathematics
    Using mathematics to solve problems.
    87.5
    High displacement
    Benchmark: AA Math Index
    Complex Problem Solving
    Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
    78
    High displacement
    Benchmark: AA Intelligence Index
    Reading Comprehension
    Understanding written sentences and paragraphs in work-related documents.
    75
    High displacement
    Benchmark: HLE
    Active Listening
    Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
    75
    High displacement
    Benchmark: HLE
    Writing
    Communicating effectively in writing as appropriate for the needs of the audience.
    75
    High displacement
    Benchmark: HLE
    Speaking
    Talking to others to convey information effectively.
    75
    High displacement
    Benchmark: HLE
    Critical Thinking
    Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
    75
    High displacement
    Benchmark: AA Intelligence Index
    Active Learning
    Understanding the implications of new information for both current and future problem-solving and decision-making.
    72
    High displacement
    Benchmark: AA Intelligence Index
    Judgment and Decision Making
    Considering the relative costs and benefits of potential actions to choose the most appropriate one.
    72
    High displacement
    Benchmark: AA Intelligence Index
    Systems Analysis
    Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
    72
    High displacement
    Benchmark: SciCode
    Systems Evaluation
    Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
    68.2
    Medium displacement
    Benchmark: AA Intelligence + AA Coding (data proxy)
    Operations Analysis
    Analyzing needs and product requirements to create a design.
    65.1
    Medium displacement
    Benchmark: AA Intelligence + AA Coding (data proxy)
    Science
    Using scientific rules and methods to solve problems.
    56.3
    High displacement
    Benchmark: SciCode
    What This Means

    The bottom line for Operations Research Analysts

    What's most at risk

    The role's most exposed skills, specifically Mathematics, Mathematics, Mathematical Reasoning, reach up to 92.8/100 on AI exposure. AI systems already match or exceed human performance on AA Math Index, directly targeting these core competencies.

    Social complexity provides cover

    This role involves high social interaction, including reading interpersonal dynamics, building trust, and managing relationships in real time. Emotional intelligence and situational awareness remain difficult for AI to replicate with the consistency a professional context demands.

    Skills that remain safe

    Fluency of Ideas (12.5/100), Originality (12.5/100) are protected by physical or social barriers AI cannot replicate. Near Vision also sit in the augmentation zone. Workers who lean into these human-centric capabilities will be well positioned as higher-exposure tasks shift to AI.

    How this compares

    At 70.8/100, Operations Research Analysts rank above the national average of 48/100. Among the lower-risk occupations in this cluster, safer than Mathematicians (62.9/100). The role sits among the top 30% most AI-exposed occupations.

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    Lower-Risk Alternatives

    Careers that use similar skills with less AI risk

    Based on skill overlap analysis — these occupations share core competencies with Operations Research Analysts but have significantly lower automation exposure.

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    FAQ

    Common questions about Operations Research Analysts and AI

    Will AI completely replace this occupation?

    Not entirely, but the role will shrink significantly. The 74% displacement probability means most current tasks, particularly those involving mathematics and mathematics, face serious automation pressure. Roles that combine these tasks with Fluency of Ideas and Originality will persist in reduced form. The strongest career move is transitioning toward adjacent, more human-centric positions before displacement accelerates.

    When will AI start affecting this job?

    It's already happening. AI tools capable of handling mathematics and mathematics are widely deployed in enterprise software today. The question isn't if, but how quickly the remaining positions consolidate. Employment projections for this occupational category reflect continued pressure over the next decade.

    What skills should I develop to stay relevant?

    Your strongest assets are Fluency of Ideas and Originality, representing the lowest-exposure capabilities in this profile. Double down on them. Beyond that, invest in AI tool fluency: workers who know how to direct, verify, and extend AI outputs will capture the productivity upside rather than compete against it.

    What careers can I switch to with my current skills?

    Your skills transfer well to roles like Management Analysts (59/100 AI risk, 100% skill overlap), Industrial Engineers (59/100 AI risk, 100% skill overlap), and Software Developers (61/100 AI risk, 100% skill overlap). PathScorer can analyse your full profile and surface even more personalised matches. Try it free here.

    How is this AI risk score calculated?

    We analyse each occupation's O*NET skill profile, covering 35+ dimensions across knowledge areas, skills, and abilities, and benchmark each against current AI capabilities (MMLU-Pro for language comprehension, τ-bench v2 for task completion, MATH-500 for mathematical reasoning, LiveCodeBench for coding, and others). Each dimension is weighted by its O*NET importance score for the occupation. Physical presence requirements and social interaction levels from O*NET work context data are also factored in. Scores are updated weekly as new AI benchmarks are published. See the full methodology →

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    Methodology: AI exposure scores are calculated by analyzing O*NET occupational skill profiles against current AI capability benchmarks. Skill importance and level data from O*NET 28.1. Employment and salary data from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS). AI benchmarks include MMLU-Pro (language comprehension), τ-bench v2 (task completion), SWE-bench (code generation), and others. Physical presence and social interaction factors are derived from O*NET work context data. Scores are updated quarterly as new AI benchmarks are published. See full methodology →
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