Will AI replace Manufacturing Engineers?

AI can do 64% of the work Manufacturing Engineers do at least twice as fast. People already use it for 1 of their 24 tasks, while 16 more are ready but barely used so far. 7 still need a person.

AI is already doing this1 · 7% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Provide technical expertise or support related to manufacturing.Mostly assisted7% of time

AI could do this next16 · 57% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • 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.8% of time
  • Apply continuous improvement methods, such as lean manufacturing, to enhance manufacturing quality, reliability, or cost-effectiveness.7% of time
  • Incorporate new manufacturing methods or processes to improve existing operations.6% of time
  • Prepare documentation for new manufacturing processes or engineering procedures.5% of time
  • Review product designs for manufacturability or completeness.5% of time
  • Determine root causes of failures or recommend changes in designs, tolerances, or processing methods, using statistical procedures.5% of time
  • Design layout of equipment or workspaces to achieve maximum efficiency.3% of time
  • Estimate costs, production times, or staffing requirements for new designs.3% of time
  • Evaluate manufactured products according to specifications and quality standards.3% of time
  • Prepare reports summarizing information or trends related to manufacturing performance.3% of time
  • 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.2% of time
  • Design tests of finished products or process capabilities to establish standards or validate process requirements.2% of time
  • Analyze the financial impacts of sustainable manufacturing processes or sustainable product manufacturing.1% of time
  • 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.1% of time
  • 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.1% of time
  • Redesign packaging for manufactured products to minimize raw material use or waste.1% of time

Still needs a person7 · 36% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Troubleshoot new or existing product problems involving designs, materials, or processes.9% of time
  • Investigate or resolve operational problems, such as material use variances or bottlenecks.8% of time
  • Communicate manufacturing capabilities, production schedules, or other information to facilitate production processes.5% of time
  • Design, install, or troubleshoot manufacturing equipment.5% of time
  • Supervise technicians, technologists, analysts, administrative staff, or other engineers.3% of time
  • Train production personnel in new or existing methods.3% of time
  • Purchase equipment, materials, or parts.2% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 5 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.

What to do next

  • Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 16 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 7 tasks that stay human. This is where your judgment, skill and relationships matter most.
Health and Safety Engineers, Except Mining Safety Engineers and Inspectors66%Fire-Prevention and Protection Engineers89%Industrial Engineers82%Human Factors Engineers and Ergonomists78%Validation Engineers76%Chemical Engineers64%

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