Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Operations Research Anlys:
50.1%
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%).
Med
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•7,500 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 as a powerful assistant in this field rather than a replacement, handling time-consuming tasks like literature reviews and model building while humans stay in charge of the parts that matter most. The most important work, like sitting down with managers to understand what problem actually needs solving and making high-stakes decisions that require trust and explanation, still needs a real person.
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Operations research analysts are labeled "Mostly Resilient" because AI is acting as a powerful assistant in this field rather than a replacement, handling time-consuming tasks like literature reviews and model building while humans stay in charge of the parts that matter most. The most important work, like sitting down with managers to understand what problem actually needs solving and making high-stakes decisions that require trust and explanation, still needs a real person.
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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?
If you're worried about AI replacing operations research analysts, here's the good news: right now, AI is mostly being used to supercharge these professionals rather than replace them. A great example comes from Microsoft, which just won the 2026 INFORMS Prize [1] for using advanced analytics and O.R. to optimize its end-to-end cloud infrastructure and capacity management. Their Intelligent Fulfillment Service [2] uses machine learning, optimization, and generative AI together — its LLM-powered assistant, based on the pioneering OptiGuide framework [3], democratizes decision intelligence with real-time explainability and scenario exploration, reducing fulfillment team workload by 23% and accelerating decision-making from days to minutes.
Vendors are following suit: Gurobi's new Intelligence Hub [4] offers AI agents like "the Modeler," which helps analysts move from a business problem to a production-quality optimization model. Industry writers observe that generative AI has evolved into sophisticated systems that support iterative, multi-step decision exploration [5] — exactly the literature-review and method-specification tasks flagged as most automatable. Talking with senior managers to define the real problem, however, still needs a human.
Sources
How fast is AI adoption growing for Operations Research Anlys?
Adoption is moving quickly because the commercial tools are here and the payoff is huge — Microsoft alone reported tens to hundreds of millions in annual savings from AI-driven OR. Yet demand for people is climbing, not falling: the U.S. Bureau of Labor Statistics projects [6] employment of operations research analysts to grow 21.5 percent, adding 24,100 jobs between 2024 and 2034. That's much faster than average.
Broader labor data supports the same story — S&P Global's 2026 analysis [7] tracks persistent productivity gains from AI investment even as employment outlooks are recalibrated. Slowing factors include the need for trustworthy explanations in high-stakes decisions (why "explainer" agents matter) and the fact that clarifying management objectives is inherently a human, collaborative task. Bottom line for students: learning optimization plus how to work with AI copilots is one of the safer bets you can make right now.
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 AI Resilience Score for this role sits at 50.1%, which puts it in "Mostly Resilient" territory. That reflects a real tension: AI tools are taking over a lot of the technical heavy lifting, like literature review, model specification, and scenario testing, but the job itself is holding on because humans are still needed where it counts most.
The clearest sign of that shift is how AI is being used right now. Microsoft won a major industry prize for combining machine learning, optimization, and generative AI to manage cloud infrastructure, with an AI assistant that cut fulfillment team workload by 23% and compressed decision timelines from days to minutes [2]. Tool vendors are moving the same direction, building AI agents that help analysts go from a business problem straight to a working optimization model [4]. AI is doing more of the setup work so analysts can focus on the harder stuff.
That harder stuff is genuinely hard to automate. Talking with senior managers, figuring out what the real problem actually is, and making high-stakes decisions that need to be explained and trusted, those tasks stay human. And the U.S. Bureau of Labor Statistics projects 21.5 percent employment growth for this role through 2034 [6]. The opportunity is real for people who learn to work alongside these tools, not against them.
Sources
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Latest AI news for Operations Research Anlys
These articles highlight the evolving landscape for Operations Research Analysts in the age of AI. For instance, the IBM piece emphasizes that AI can enhance operations management tasks like supply chain optimization, offering opportunities for analysts to leverage these tools for improved decision-making. Additionally, the Goldman Sachs report suggests that while AI may expose millions of jobs to automation, it will also create new roles, underscoring the importance of adaptability and continuous learning in this field. Embracing AI can lead to resilience and growth for future analysts.
Is AI Replacing Finance Jobs? New Research And Career Trends
www.forbes.com • 6/10/2026
Artificial intelligence is rapidly transforming finance jobs. AI can automate routine tasks and potentially impact specific roles,...
Already in the only major metro losing jobs, Alexandria now faces the nation's second-highest AI risk
www.alexandriabrief.com • 4/8/2026
A Tufts University analysis projects 276000 jobs and $30 billion in annual income at risk across the Washington-Arlington-Alexandria region...
How Will AI Affect the US Labor Market?
www.goldmansachs.com • 3/18/2026
Goldman Sachs Research estimates that 300 million jobs globally are exposed to automation by AI. But the technology will also generate new...
How artificial intelligence impacts the US labor market
mitsloan.mit.edu • 10/9/2025
New research from MIT Sloan shows that companies can see substantial gains by putting AI to work — with that growth translating into jobs.
10 ways artificial intelligence is transforming operations management
www.ibm.com • 7/11/2024
Activities such as planning, organizing, inventory and supply chain management are ripe for improvement through artificial intelligence.
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 (2025)
113,100
Growth (2025-35)
+11.9%
Annual Openings
7,500
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
2
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
3
Analyze information obtained from management to conceptualize and define operational problems.
4
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
5
Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.
6
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
7
Educate staff in the use of mathematical models.
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.
