AI exposure by occupation, O*NET 17-2112.00
Will AI replace Industrial Engineers?
Industrial Engineers: AI can already handle 5 of 20 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 20 tasks O*NET 30.3 lists for Industrial Engineers, from most to least exposed. 5 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer. | Estimated | Frontier | |
| Estimate production costs, cost saving methods, and the effects of product design changes on expenditures for management review, action, and control. | Estimated | Standard | |
| Evaluate precision and accuracy of production and testing equipment and engineering drawings to formulate corrective action plan. | Estimated | Standard | |
| Review production schedules, engineering specifications, orders, and related information to obtain knowledge of manufacturing methods, procedures, and activities. | Estimated | Efficient | |
| Implement methods and procedures for disposition of discrepant material and defective or damaged parts, and assess cost and responsibility. | Estimated | Frontier | |
| Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization. | Estimated | Frontier | |
| Communicate with management and user personnel to develop production and design standards. | Estimated | Standard | |
| Develop manufacturing methods, labor utilization standards, and cost analysis systems to promote efficient staff and facility utilization. | Estimated | Frontier | |
| Coordinate and implement quality control objectives, activities, or procedures to resolve production problems, maximize product reliability, or minimize costs. | Estimated | Frontier | |
| Recommend methods for improving utilization of personnel, material, and utilities. | Observed | Standard | |
| Formulate sampling procedures and designs and develop forms and instructions for recording, evaluating, and reporting quality and reliability data. | Observed | Standard | |
| Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product. | Estimated | Efficient | |
| Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status. | Estimated | Efficient | |
| Record or oversee recording of information to ensure currency of engineering drawings and documentation of production problems. | Estimated | Efficient | |
| Complete production reports, purchase orders, and material, tool, and equipment lists. | Estimated | Efficient | |
| Apply statistical methods and perform mathematical calculations to determine manufacturing processes, staff requirements, and production standards. | Estimated | Efficient | |
| Study operations sequence, material flow, functional statements, organization charts, and project information to determine worker functions and responsibilities. | Estimated | Efficient | |
| Regulate and alter workflow schedules according to established manufacturing sequences and lead times to expedite production operations. | Estimated | Efficient | |
| Schedule deliveries based on production forecasts, material substitutions, storage and handling facilities, and maintenance requirements. | Estimated | Efficient | |
| Direct workers engaged in product measurement, inspection, and testing activities to ensure quality control and reliability. | Estimated | Standard |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 2 of 20 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 20. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 365,740
- Median annual wage
- $102,440
- Middle half of earners
- $83,600 to $129,250
- Projected change, 2024 to 2034
- +11.0%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Manufacturing Engineers 78% skill overlap, about 8 months to move Exposure60
- Industrial Engineering Technologists and Technicians 77% skill overlap, about 8 months to move Exposure65
- Industrial Production Managers 69% skill overlap, about 11 months to move Exposure42
- Electrical Engineers 69% skill overlap, about 11 months to move Exposure54
- Logistics Engineers 67% skill overlap, about 12 months to move Exposure51
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Industrial Engineers and AI
Will AI replace Industrial Engineers?
AI already handles 5 of the 20 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 45 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +11.0% from 2024 to 2034.
What is the AI exposure of Industrial Engineers?
45 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 2 of the 20 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.
Which Industrial Engineers tasks can AI already do?
The tasks with the highest exposure are: Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer; Estimate production costs, cost saving methods, and the effects of product design changes on expenditures for management review, action, and control; Evaluate precision and accuracy of production and testing equipment and engineering drawings to formulate corrective action plan. They are three of the 5 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Industrial Engineers, and what do they earn?
365,740 people in the United States, with a median annual wage of $102,440 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +11.0% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Industrial Engineers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/industrial-engineers
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