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AI exposure score

Industrial Engineering Technologists and Technicians

Industrial Engineering Technologists and Technicians score 44 out of 100, which is elevated exposure to AI. That ranks #349 of 923 US occupations, where #1 is the most exposed. Of the 30 tasks in this job, AI could speed up 3 on its own and 21 more with extra software built on top of it. In April–May 2026, 10 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

44/ 100
Elevated
Rank
#349of 923 jobs
US workers
75,570BLS, May 2025
Median pay
$66,120a year
In real AI use
10 of 30tasks, 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: 3 (10%)
  • AI can speed this up with extra software: 21 (70%)
  • Little or no AI speed-up: 6 (20%)
  • Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications.AI can speed this up on its own · core task · Seen in real AI use
  • Prepare production documents, such as standard operating procedures, manufacturing batch records, inventory reports, or productivity reports.AI can speed this up on its own · Seen in real AI use
  • Provide advice or training to other technicians.AI can speed this up on its own
  • Compile and evaluate statistical data to determine and maintain quality and reliability of products.AI can speed this up with extra software · core task · Seen in real AI use
  • Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency.AI can speed this up with extra software · core task
  • Aid in planning work assignments in accordance with worker performance, machine capacity, production schedules, or anticipated delays.AI can speed this up with extra software · core task · Seen in real AI use
  • Evaluate industrial operations for compliance with permits or regulations related to the generation, storage, treatment, transportation, or disposal of hazardous materials or waste.AI can speed this up with extra software · supplemental task
  • Adhere to all applicable regulations, policies, and procedures for health, safety, and environmental compliance.AI can speed this up with extra software
  • Analyze, estimate, or report production costs.AI can speed this up with extra software · Seen in real AI use
  • Assist engineers in developing, building, or testing prototypes or new products, processes, or procedures.AI can speed this up with extra software · Seen in real AI use
  • Conduct statistical studies to analyze or compare production costs for sustainable and nonsustainable designs.AI can speed this up with extra software
  • Coordinate equipment purchases, installations, or transfers.AI can speed this up with extra software
  • Create or interpret engineering drawings, schematic diagrams, formulas, or blueprints for management or engineering staff.AI can speed this up with extra software · Seen in real AI use
  • Design plant layouts or production facilities.AI can speed this up with extra software
  • Develop manufacturing infrastructure to integrate or deploy new manufacturing processes.AI can speed this up with extra software
  • Develop or implement programs to address problems related to production, materials, safety, or quality.AI can speed this up with extra software
  • Develop production, inventory, or quality assurance programs.AI can speed this up with extra software
  • 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
  • Identify opportunities for improvements in quality, cost, or efficiency of automation equipment.AI can speed this up with extra software
  • Monitor and adjust production processes or equipment for quality and productivity.AI can speed this up with extra software
  • Oversee or inspect production processes.AI can speed this up with extra software
  • Prepare layouts, drawings, or sketches of machinery or equipment, such as shop tooling, scale layouts, or new equipment design, using drafting equipment or computer-aided design (CAD) software.AI can speed this up with extra software
  • Recommend corrective or preventive actions to assure or improve product quality or reliability.AI can speed this up with extra software · Seen in real AI use
  • Select material quantities or processing methods needed to achieve efficient production.AI can speed this up with extra software · Seen in real AI use
  • Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.Little or no AI speed-up · core task · Seen in real AI use
  • Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.Little or no AI speed-up · core task
  • Calibrate or adjust equipment to ensure quality production, using tools such as calipers, micrometers, height gauges, protractors, or ring gauges.Little or no AI speed-up
  • Oversee equipment start-up, characterization, qualification, or release.Little or no AI speed-up
  • Select cleaning materials, tools, or equipment.Little or no AI speed-up
  • Set up and operate production equipment in accordance with current good manufacturing practices and standard operating procedures.Little or no AI speed-up

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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