AI exposure by occupation, O*NET 17-2112.03

Will AI replace Manufacturing Engineers?

Manufacturing Engineers: AI can already handle 12 of 24 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 24 tasks O*NET 30.3 lists for Manufacturing Engineers, from most to least exposed. 12 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Troubleshoot new or existing product problems involving designs, materials, or processes. 79 Observed Frontier 4.3
Apply continuous improvement methods, such as lean manufacturing, to enhance manufacturing quality, reliability, or cost-effectiveness. 75 Estimated Frontier 4.2
Incorporate new manufacturing methods or processes to improve existing operations. 75 Estimated Frontier 4.0
Prepare reports summarizing information or trends related to manufacturing performance. 75 Estimated Standard 3.9
Prepare documentation for new manufacturing processes or engineering procedures. 75 Estimated Efficient 3.8
Communicate manufacturing capabilities, production schedules, or other information to facilitate production processes. 75 Estimated Standard 3.8
Supervise technicians, technologists, analysts, administrative staff, or other engineers. 75 Estimated Frontier 3.6
Analyze the financial impacts of sustainable manufacturing processes or sustainable product manufacturing. 75 Estimated Standard 3.4
Purchase equipment, materials, or parts. 75 Estimated Frontier 3.3
Evaluate current or proposed manufacturing processes or practices for environmental sustainability, considering factors such as greenhouse gas emissions, air pollution, water pollution, energy use, or waste creation. 65 Estimated Efficient 3.1
Investigate or resolve operational problems, such as material use variances or bottlenecks. 65 Observed Standard 4.3
Provide technical expertise or support related to manufacturing. 65 Observed Frontier 4.0
Identify opportunities or implement changes to improve manufacturing processes or products or to reduce costs, using knowledge of fabrication processes, tooling and production equipment, assembly methods, quality control standards, or product design, materials and parts. 50 Estimated Frontier 4.2
Design layout of equipment or workspaces to achieve maximum efficiency. 50 Estimated Frontier 3.8
Design, install, or troubleshoot manufacturing equipment. 50 Estimated Frontier 3.6
Estimate costs, production times, or staffing requirements for new designs. 50 Estimated Standard 3.6
Design tests of finished products or process capabilities to establish standards or validate process requirements. 50 Estimated Frontier 3.5
Develop sustainable manufacturing technologies to reduce greenhouse gas emissions, minimize raw material use, replace toxic materials with non-toxic materials, replace non-renewable materials with renewable materials, or reduce waste. 50 Estimated Frontier 3.3
Read current literature, talk with colleagues, participate in educational programs, attend meetings or workshops, or participate in professional organizations or conferences to keep abreast of developments in the manufacturing field. 50 Estimated Standard 3.1
Redesign packaging for manufactured products to minimize raw material use or waste. 50 Estimated Frontier 2.6
Review product designs for manufacturability or completeness. 40 Observed Efficient 3.9
Determine root causes of failures or recommend changes in designs, tolerances, or processing methods, using statistical procedures. 40 Observed Frontier 3.9
Evaluate manufactured products according to specifications and quality standards. 40 Observed Efficient 3.6
Train production personnel in new or existing methods. 35 Estimated Efficient 3.6

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 6 of 24 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 24. 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.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Manufacturing Engineers and AI

Will AI replace Manufacturing Engineers?

AI already handles 12 of the 24 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 60 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 Manufacturing Engineers?

60 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. 6 of the 24 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 Manufacturing Engineers tasks can AI already do?

The tasks with the highest exposure are: Troubleshoot new or existing product problems involving designs, materials, or processes; Apply continuous improvement methods, such as lean manufacturing, to enhance manufacturing quality, reliability, or cost-effectiveness; Incorporate new manufacturing methods or processes to improve existing operations. They are three of the 12 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 Manufacturing 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: Manufacturing 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/manufacturing-engineers

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