Will AI replace Manufacturing Engineers?
AI reaches a large part of this job’s work.
49/100
High exposure
More exposed to AI than 78% of US workers.
- AI already used in
- 3% of the work
- As AI tools mature: up to
- 71% of the work
What the job involves
Design, integrate, or improve manufacturing systems or related processes. May work with commercial or industrial designers to refine product designs to increase producibility and decrease costs.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Provide technical expertise or support related to manufacturing.
Within reach(16)
- 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.
- Apply continuous improvement methods, such as lean manufacturing, to enhance manufacturing quality, reliability, or cost-effectiveness.
- Review product designs for manufacturability or completeness.
- Determine root causes of failures or recommend changes in designs, tolerances, or processing methods, using statistical procedures.
- Prepare documentation for new manufacturing processes or engineering procedures.
and 11 more
Out of reach(7)
- Troubleshoot new or existing product problems involving designs, materials, or processes.
- Investigate or resolve operational problems, such as material use variances or bottlenecks.
- Communicate manufacturing capabilities, production schedules, or other information to facilitate production processes.
- Train production personnel in new or existing methods.
- Design, install, or troubleshoot manufacturing equipment.
and 2 more
Also called
Manufacturing Engineer · Process Engineer · Facility Engineer · Plant Engineer · Process Improvement Engineer · Advance Manufacturing Engineer · Automation Engineer · Design Engineer
Related jobs
- Mechanical Engineers42/100
- Mechatronics Engineers31/100
- Chemical Engineers35/100
- Industrial Engineers59/100
- Industrial Production Managers35/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics