Operations research analysts use math and models to help organizations decide things like routes, staffing, inventory and pricing. AI tools can now write model code, clean data and explain results, which makes people ask whether the analyst is still needed.
The short answer: the work is exposed, but demand for it is growing fast. The ILO's 2025 index puts mathematicians, actuaries and statisticians, the closest group, in gradient 3 with a score of 0.56, and management and organization analysts in gradient 2 at 0.46. The US Bureau of Labor Statistics projects 12 percent growth for operations research analysts from 2025 to 2035, much faster than average, with about 7,500 openings a year. Projections are estimates, not guarantees.
How exposed operations research analysts are
The International Labour Organization scores occupations' tasks from 0 (cannot be automated with generative AI) to 1 (could be done without a human operator), and groups them into gradients from 1 to 4, with 4 the most exposed; below them sit minimal exposure and not exposed (ILO Working Paper 140, 2025).
| Occupation (ISCO-08) | ILO category | Mean task score (0 to 1) |
|---|---|---|
| Mathematicians, Actuaries and Statisticians | Gradient 3 | 0.56 |
| Management and Organization Analysts | Gradient 2 | 0.46 |
The ILO scores groups of occupations, so these are the closest groups for operations research analysts, not a score for the job title itself.
What the BLS projects
| Occupation | Projected change 2025 to 2035 | Openings a year |
|---|---|---|
| Operations research analysts | Grow 12% | About 7,500 |
The BLS says that as technology advances and companies and government agencies seek efficiency and cost savings, demand for operations research analysis is expected to grow, along with demand in analytics to improve business planning and decision making. It notes that technological advances have made it faster and easier for organizations to get data. Its outlook does not mention AI by name.
What AI is taking on
- Writing and debugging model and analysis code.
- Cleaning and joining data sets.
- First drafts of charts, summaries and reports.
- Running many scenarios quickly.
What stays with operations research analysts
- Framing: turning a messy business question into the right model.
- Assumptions: knowing what the data leaves out and where a model breaks.
- Decisions: explaining trade-offs so leaders can act on them.
- Checking AI help: AI-written code and analysis can run and still be wrong, which NIST calls confabulation (NIST AI 600-1). See checking AI output.
How the job is changing
Coding and data prep take less time, so more of the job is choosing the problem, testing assumptions and persuading people. Analysts who can check and govern AI models are in a good position.
See also will AI replace statisticians?, will AI replace data analysts? and will AI replace logistics jobs?
Pay and how to get in
The US Bureau of Labor Statistics puts the median annual pay for operations research analysts at $88,940 in May 2025, against $50,980 for all workers. The typical education needed to enter is: bachelor's degree. See how this job compares in AI exposure by pay and AI exposure by education level.
Questions and answers
Will AI replace operations research analysts?
Not on current evidence. The work is exposed, with the closest ILO group in gradient 3, but the BLS projects 12 percent growth from 2025 to 2035.
Does the BLS mention technology for this job?
Yes. It says technology advances and the search for efficiency drive demand, and that technology has made data faster and easier to get.
How many openings are expected?
The BLS projects about 7,500 openings a year for operations research analysts.
What analysis work stays human?
Framing problems, testing assumptions, explaining trade-offs and checking AI-written code and results.