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Manufacturing Engineers

Manufacturing Engineers score 48 out of 100, which is elevated exposure to AI. That ranks #286 of 923 US occupations, where #1 is the most exposed. Of the 24 tasks in this job, AI could speed up 1 on its own and 21 more with extra software built on top of it. In April–May 2026, 11 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

48/ 100
Elevated
Rank
#286of 923 jobs
US workers
365,740for Industrial Engineers
Median pay
$102,440a year
In real AI use
11 of 24tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 1 (4%)
  • AI can speed this up with extra software: 21 (88%)
  • Little or no AI speed-up: 2 (8%)
  • Prepare documentation for new manufacturing processes or engineering procedures.AI can speed this up on its own · core task · Seen in real AI use
  • Troubleshoot new or existing product problems involving designs, materials, or processes.AI can speed this up with extra software · core task · Seen in real AI use
  • Investigate or resolve operational problems, such as material use variances or bottlenecks.AI can speed this up with extra software · core task · Seen in real AI use
  • 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.AI can speed this up with extra software · core task
  • Apply continuous improvement methods, such as lean manufacturing, to enhance manufacturing quality, reliability, or cost-effectiveness.AI can speed this up with extra software · core task
  • Provide technical expertise or support related to manufacturing.AI can speed this up with extra software · core task · Seen in real AI use
  • Incorporate new manufacturing methods or processes to improve existing operations.AI can speed this up with extra software · core task
  • Review product designs for manufacturability or completeness.AI can speed this up with extra software · core task · Seen in real AI use
  • Determine root causes of failures or recommend changes in designs, tolerances, or processing methods, using statistical procedures.AI can speed this up with extra software · core task · Seen in real AI use
  • Prepare reports summarizing information or trends related to manufacturing performance.AI can speed this up with extra software · core task · Seen in real AI use
  • Design layout of equipment or workspaces to achieve maximum efficiency.AI can speed this up with extra software · core task
  • Communicate manufacturing capabilities, production schedules, or other information to facilitate production processes.AI can speed this up with extra software · core task
  • Design, install, or troubleshoot manufacturing equipment.AI can speed this up with extra software · core task
  • Evaluate manufactured products according to specifications and quality standards.AI can speed this up with extra software · core task · Seen in real AI use
  • Estimate costs, production times, or staffing requirements for new designs.AI can speed this up with extra software · core task · Seen in real AI use
  • Design tests of finished products or process capabilities to establish standards or validate process requirements.AI can speed this up with extra software · core task · Seen in real AI use
  • Analyze the financial impacts of sustainable manufacturing processes or sustainable product manufacturing.AI can speed this up with extra software · core task · Seen in real AI use
  • 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.AI can speed this up with extra software · core task
  • Purchase equipment, materials, or parts.AI can speed this up with extra software · core task
  • 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.AI can speed this up with extra software · core task
  • 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.AI can speed this up with extra software · core task
  • Redesign packaging for manufactured products to minimize raw material use or waste.AI can speed this up with extra software · supplemental task
  • Supervise technicians, technologists, analysts, administrative staff, or other engineers.Little or no AI speed-up · core task
  • Train production personnel in new or existing methods.Little or no AI speed-up · core task

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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