Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

38.3%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Operations Research Analysts

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 analysis

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

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 analysis

Contributing 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

Learn about this score
Evolving iconEvolving

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

13.3%

13.3%

Anthropic's Observed Exposure

AI Resilience

Learn about this score
Changing fast iconChanging fast

7.3%

7.3%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

59.5%

59.5%

Althoff & Reichardt

Economic Growth

Learn about this score
Evolving iconEvolving

61.1%

61.1%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

21.5%

Growth Percentile:

98.9%

Annual Openings:

9,600

Annual Openings Pct:

52.7%

Analysis of Current AI Resilience

Operations Research Anlys

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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.

Reveal More
AI Adoption

AI in the real world

AI tools for operations research are definitely available, but adoption is gradual. Powerful optimization software already exists – for instance, IBM’s ILOG CPLEX and Google’s open-source OR-Tools are industry-standard solvers shown to work very well on complex problems [1]. In theory, using these tools or new AI could save companies time and money. (By one estimate, supply-chain systems combining AI forecasts with optimization cuts costs and late shipments [2].) Also, many OR analysts earn high salaries (around $82,000 median per year [5]), so there is financial incentive to automate routine parts of their work.

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.

Reveal More
Career Village Logo

Help us improve this report.

Tell us if this analysis feels accurate or we missed something.

Share your feedback

Your Career Starts Here

Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Career Village Logo

Ask a pro on CareerVillage.org. Free career advice from more than 200,000 professionals.

More Career Info

Career: Operations Research Analysts

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

75% ResilienceCore Task

Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.

2

70% ResilienceCore Task

Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.

3

70% ResilienceSupplemental

Develop and apply time and cost networks to plan, control, and review large projects.

4

65% ResilienceCore Task

Break systems into their component parts, assign numerical values to each component, and examine the mathematical relationships between them.

5

60% ResilienceCore Task

Define data requirements and gather and validate information, applying judgment and statistical tests.

6

60% ResilienceCore Task

Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.

7

55% ResilienceCore Task

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.

AI Career Coach

© 2026 CareerVillage.org. All rights reserved.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

Built with ❤️ by Sandbox Web

The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.