Will operations research analysts be replaced by AI?
Updated
Operations research analysts score 58 of 100 for AI exposure. The largest share of their task time, 70%, is work AI speeds up while they stay in charge. AI can take over 11% outright, and 19% stays with people.
- 11% AI can do it
- 70% AI helps
- 19% Needs a person
High exposure
Higher than 88% of the 923 occupations we scored.
Task by task
We graded 17 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 12 and leaves 3 to people.
| Task | AI exposure |
|---|---|
| Review research literature. AI searches and summarizes papers quickly; analyst checks key sources. | 72% AI can do it |
| Prepare management reports defining and evaluating problems and recommending solutions. AI drafts report text; analyst checks analysis and recommendations. | 62% AI can do it |
| Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters. AI helps code models; analyst defines constraints and objectives. | 55% AI helps |
| Specify manipulative or computational methods to be applied to models. AI can suggest and write solver code; analyst selects methods. | 55% AI helps |
| Develop and apply time and cost networks to plan, control, and review large projects. Scheduling tools and AI can build networks; planners validate dependencies. | 55% AI helps |
| Define data requirements, and gather and validate information, applying judgment and statistical tests. AI runs tests and cleans data; analyst judges data fitness. | 50% AI helps |
| Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary. AI can generate test cases; analyst judges model adequacy. | 50% AI helps |
| Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes. AI can compare options quickly; analyst weighs tradeoffs and risks. | 50% AI helps |
| Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them. AI can decompose systems and check equations; analyst is responsible for structure. | 50% AI helps |
| Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules. AI drafts procedures and templates; staff must adapt them to operations. | 45% AI helps |
Show the other 7 tasks
| Task | AI exposure |
|---|---|
| Present the results of mathematical modeling and data analysis to management or other end users. Drafts slides and summaries; analyst presents and answers questions. | 40% AI helps |
| Analyze information obtained from management to conceptualize and define operational problems. Requires interviewing managers and interpreting ambiguous business problems. | 35% AI helps |
| Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data. Live experiments in operations need people and real-world control. | 35% AI helps |
| Educate staff in the use of mathematical models. Training people to use models is interactive and needs live teaching. | 35% AI helps |
| Collaborate with others in the organization to ensure successful implementation of chosen problem solutions. Relies on interpersonal coordination and organizational buy-in. | 15% Needs a person |
| Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources. On-site observation of operations needs physical presence and access. | 15% Needs a person |
| Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives. Live discussions with senior leaders need trust and political judgment. | 15% Needs a person |
How operations research analysts compare
All occupations (923)
Computer and mathematical (36)
Pay and outlook in the US
- Median pay
- $88,940 a year, May 2025
- People employed
- 108,510 in the US, May 2025
- Projected change in jobs
- +11.9% from 2024 to 2034
Skills to build
- Define objectives and constraints before any model is coded
- Write and audit solver code in Python
- Validate source data in SQL before modeling
- Build critical path networks for large projects
- Run on-site observation of operating processes
Safer roles nearby
5 related occupations with lower scores.
Questions about operations research analysts and AI
Will AI replace operations research analysts?
Partly. About 4 in 10 working hours go to tasks AI can already do, mostly reviewing research literature and drafting management reports. What stays with people is defining the real problem with managers and judging whether a recommendation will work in the organization.
Which tasks will AI take from operations research analysts?
Reviewing research literature is the most exposed task, with an exposure score of 72, because AI searches and summarizes papers quickly while the analyst checks the key sources. Drafting management reports follows at 62, since AI writes the report text and the analyst checks the analysis and recommendations. Formulating models, scored 55, is also shifting as AI helps code them.
Which tasks stay with operations research analysts?
Collaborating with senior managers to clarify objectives stays human, because live discussions depend on trust and political judgment. Observing the current system on site stays human since it needs physical presence and access. Getting people to adopt the chosen solution stays human as well, because it depends on interpersonal coordination and organizational buy-in.
How can operations research analysts stay valuable?
Take responsibility for the problem definition by interviewing managers and writing objectives and constraints before any model is built. Write solver code in Python yourself so you can judge the code AI suggests. Validate source data in SQL and check every AI-drafted report against your model outputs in Power BI or Tableau.
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