Mostly Resilient
Last Update: 7/31/2026
AI Resilience Score for Operations Research Anlys:
51.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
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.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forOperations Research Analysts
$88,940 median salary•9,600 annual openings•SOC Code: 15-2031.00
Operations Research Analysts are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Operations research analysts are labeled "Mostly Resilient" because AI is acting more like a helpful co-pilot than a job replacement, taking over repetitive tasks like writing model code and running calculations while humans stay in charge of the bigger picture. The parts of this job that AI cannot easily handle, like talking to managers, framing the right problem, and making sure a solution actually works in the real world, still require human judgment and communication skills.
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Operations research analysts are labeled "Mostly Resilient" because AI is acting more like a helpful co-pilot than a job replacement, taking over repetitive tasks like writing model code and running calculations while humans stay in charge of the bigger picture. The parts of this job that AI cannot easily handle, like talking to managers, framing the right problem, and making sure a solution actually works in the real world, still require human judgment and communication skills.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Operations Research Anlys
Updated Quarterly
How is AI changing Operations Research Anlys jobs?
Operations research (OR) analysts are seeing more augmentation than replacement right now — AI is becoming a powerful co-pilot, not a job stealer. A big real-world example came in April 2026, when INFORMS awarded Microsoft its 2026 Franz Edelman Award for an Intelligent Fulfillment Service that "integrates machine learning, optimization and generative AI" [1], an LLM-powered assistant that reduced fulfillment team workload by 23% and accelerated decision-making from days to minutes. That tracks with what BCG found in its 2026 workforce study: most jobs won't disappear but will be "reshaped" as AI takes over narrow tasks [2].
For OR analysts specifically, generative AI is now writing model code, suggesting solver formulations, and explaining results in plain English — exactly the high-automation tasks (specifying computational methods, decomposing systems) listed for this role. Meanwhile, MIT Sloan's March 2026 guidance to leaders stresses that successful AI deployments still require humans to frame the problem, validate outputs, and translate models into action [3] — the lower-automation parts of the job (talking to managers, defining data, driving implementation).
Sources
How fast is AI adoption growing for Operations Research Anlys?
Adoption is moving fast because the tools are already commercial: every major optimization vendor now ships GenAI copilots, and cloud providers package decision-intelligence APIs cheaply. Demand pressure helps too — SpectraForce's 2026 hiring report lists data and AI-adjacent analyst roles among the hardest to fill, with employers competing for people who can pair domain judgment with AI tools [4]. On the public side, BLS's 2024–34 projections still show occupations using advanced math and analytics growing faster than average [5], suggesting AI is expanding the pie rather than shrinking it.
Slower-adoption factors include high-stakes accountability (you can't let a hallucinating model decide a hospital schedule or a defense supply chain), regulatory scrutiny, and the need for explainability — which is why companies still want trained analysts to validate every recommendation. The honest takeaway: if you're a student curious about this path, the math fundamentals plus comfort with AI tools is becoming one of the most resilient combinations in the modern job market.
Sources
Will AI replace Operations Research Anlys?
No. We don't think AI will replace Operations Research Analysts, though we do expect the job to change.
Our scorecard gives this role a 51.9% AI Resilience Score, meaning it holds up better than most occupations even as AI reshapes the day-to-day work. The honest picture is one of augmentation, not elimination. A real example: Microsoft's AI-powered fulfillment system, which won a major INFORMS award in 2026, reduced fulfillment team workload by 23% and sped up decisions from days to minutes [1]. AI is already writing model code, suggesting solver formulations, and explaining results in plain language. Those tasks are shifting.
What stays human is the harder, higher-stakes work: framing the right problem, validating model outputs, and translating recommendations into decisions that real organizations will actually act on [3]. High-accountability settings like hospital scheduling or defense supply chains still demand a trained analyst who can explain and defend every recommendation.
The job market reflects this. BLS projections through 2034 show occupations built on advanced math and analytics growing faster than average [5], and employers are actively competing for analysts who combine domain judgment with AI fluency [4]. If you're considering this path, that combination is becoming one of the more resilient skill sets available.
Sources
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Latest AI news for Operations Research Anlys
These articles highlight the transformative role of AI in operations research, emphasizing the need for analysts to adapt and thrive. For instance, KPMG discusses how AI is reengineering risk management, presenting opportunities for analysts to leverage AI tools in decision-making. Additionally, PwC reveals that AI adoption in manufacturing boosts productivity and cuts costs, showing how analysts can drive innovation and efficiency in various sectors. Embracing these AI advancements will enhance resilience and career prospects for future operations research analysts.
Artificial intelligence, information technology, and employment, 2024–34
www.bls.gov • 7/17/2026
July 16, 2026. Increasing use of information technology (IT), including artificial intelligence (AI), will boost demand for workers in some occupations over...
AI in operations
www.pwc.com • 7/6/2026
Discover how AI is transforming manufacturing by boosting productivity, cutting costs, and driving innovation. Explore insights from 400 global executives.
Risk Modernization | AI is revolutionizing risk management
kpmg.com • 12/13/2025
Risk management isn't just evolving—it's being reengineered. Artificial intelligence (AI), including generative AI (GenAI) and agentic AI, is the engine...
Building your operations management with AI-Powered Operations at re:Invent 2025
aws.amazon.com • 9/30/2025
by Samir Behara on 30 SEP 2025 in Amazon Quick Sight, Announcements, AWS Systems Manager, Generative AI, Management Tools, Multicloud Permalink Share.
The Impact of AI and Data Collection on Retail Transformation
www.honeywell.com • 8/20/2025
Widespread Adoption and Investment in AI: Retail executives across the globe are rapidly adopting artificial intelligence, with 85% having...
More Career Info
Career: Operations Research Analysts
They solve problems for businesses by using math and computers to find the best ways to save time, money, and resources.
Parent Careers
Employment & Wage Data
Median Wage
$88,940
Jobs (2024)
112,100
Growth (2024-34)
+21.5%
Annual Openings
9,600
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
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
2
Define data requirements and gather and validate information, applying judgment and statistical tests.
3
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
4
Analyze information obtained from management to conceptualize and define operational problems.
5
Develop and apply time and cost networks to plan, control, and review large projects.
6
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
7
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
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.
