Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They solve problems for businesses by using math and computers to find the best ways to save time, money, and resources.
This role is evolving
The career of an Operations Research Analyst is labeled as "Evolving" because AI is starting to assist with some of the technical tasks like building and solving mathematical models, making these processes faster and more efficient. However, the job still heavily relies on human skills like problem-solving, judgment, and communication to understand and implement solutions in real-world contexts.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of an Operations Research Analyst is labeled as "Evolving" because AI is starting to assist with some of the technical tasks like building and solving mathematical models, making these processes faster and more efficient. However, the job still heavily relies on human skills like problem-solving, judgment, and communication to understand and implement solutions in real-world contexts.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Operations Research Anlys
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Operations research analysts use a lot of math and computer models, and AI is starting to help with some of that work. For example, researchers have shown that machine learning can even pick the best solver (optimization algorithm) for a scheduling problem automatically [1]. Industry sources note that AI tools can update optimization models in real time — for instance, as goods move through a supply chain — making recommendations faster [2].
An operations-research society article also explains that AI can crunch huge data sets to build more accurate predictive models (for demand forecasting, routing, etc.) than older methods [3]. In other words, many of the technical tasks (like building or solving models) are being augmented by smarter software.
However, the human side of the job is still strong. The official job description lists duties like “conceptualiz\[ing\] and defin\[ing\] operational problems” and works with senior managers or teams to implement solutions [4]. These tasks – breaking a system into parts, talking with managers, and collaborating on strategy – rely on judgment, experience, and communication.
AI doesn’t understand context or goals the way people do. So far, those parts of the job remain mostly manual, with analysts using their human skills to interpret results and make decisions.

AI in the real world
On the other hand, implementing AI is not cheap or simple. Firms must invest in data infrastructure and new software. Because OR work often affects important outcomes (like logistics, production, or policy), companies tend to keep people in the loop.
Experts note the importance of “strik\[ing\] the right balance between autonomous decision-making and human oversight” [3]. In short, AI will likely augment more than replace OR analysts for now: businesses may use AI tools where they clearly cut costs or boost speed, but they still count on human analysts for interpretation, creativity, and teamwork.

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Median Wage
$91,290
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
AI-generated estimates of task resilience over the next 3 years
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
Develop and apply time and cost networks to plan, control, and review large projects.
Break systems into their component parts, assign numerical values to each component, and examine the mathematical relationships between them.
Define data requirements and gather and validate information, applying judgment and statistical tests.
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
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.

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