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AI Automation Index
Task-level automation exposure for Industrial Engineering Technologists and Technicians: 30 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
30 of 30 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
75,570 people hold this job — size, not growth
Projected 2025–35
6,600 openings a year · BLS line item
BLS OEWS publishes 46 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$46,470 – $79,330
Highest medians
Lowest medians
State figures come from the 17-3026 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
30 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
9 tasks
17 tasks
4 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Adhere to all applicable regulations, policies, and procedures for health, safety, and environmental compliance.
data analysis — AI analyzes monitoring data; human samples in field
Oversee or inspect production processes.
interpersonal — Industrial production direction is human supervisory control
Identify opportunities for improvements in quality, cost, or efficiency of automation equipment.
decision support — AI drafts equipment designs; engineer owns manufacturability
Develop or implement programs to address problems related to production, materials, safety, or quality.
text generation — AI drafts technical methods; expert validates feasibility
Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.
physical manipulation — Functional product testing is hands-on
Create or interpret engineering drawings, schematic diagrams, formulas, or blueprints for management or engineering staff.
visual inspection — Generates diagrams; technical accuracy and standards human
Compile and evaluate statistical data to determine and maintain quality and reliability of products.
decision support — Usefulness assessment needs context and testing
Recommend corrective or preventive actions to assure or improve product quality or reliability.
decision support — Proposes design changes; human validates feasibility
Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications.
decision support — AI flags compliance deviations; human confirms in the world
Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.
decision support — AI aids process inspection; physical verification is human
Select material quantities or processing methods needed to achieve efficient production.
decision support — Project material selection needs spec and site judgment
Monitor and adjust production processes or equipment for quality and productivity.
data analysis — Efficiency metrics are digital and analyzable by AI
Assist engineers in developing, building, or testing prototypes or new products, processes, or procedures.
text generation — AI drafts technical methods; expert validates feasibility
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.
text generation — Drafting diagrams aided; engineering validity needs human
Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency.
data analysis — Human factors analysis aided; empirical studies human
Provide advice or training to other technicians.
interpersonal — Operational procedure training needs live demonstration
Analyze, estimate, or report production costs.
data analysis — Cost-benefit analysis from given inputs; human reviews
Prepare production documents, such as standard operating procedures, manufacturing batch records, inventory reports, or productivity reports.
text generation — Generate operational reports from structured data
Coordinate equipment purchases, installations, or transfers.
decision support — Procurement drafting and comparison; human commits funds
Select cleaning materials, tools, or equipment.
decision support — Project material selection needs spec and site judgment
Calibrate or adjust equipment to ensure quality production, using tools such as calipers, micrometers, height gauges, protractors, or ring gauges.
physical manipulation — Physical calibration of instruments requires hands
Set up and operate production equipment in accordance with current good manufacturing practices and standard operating procedures.
physical manipulation — Hands-on control of industrial machinery in unstructured settings
Evaluate industrial operations for compliance with permits or regulations related to the generation, storage, treatment, transportation, or disposal of hazardous materials or waste.
decision support — AI flags compliance deviations; human confirms in the world
Conduct statistical studies to analyze or compare production costs for sustainable and nonsustainable designs.
data analysis — Cost-benefit analysis from given inputs; human reviews
Oversee equipment start-up, characterization, qualification, or release.
interpersonal — Directing QC needs human oversight of physical processes
Develop manufacturing infrastructure to integrate or deploy new manufacturing processes.
decision support — AI models process systems; engineer validates feasibility
Aid in planning work assignments in accordance with worker performance, machine capacity, production schedules, or anticipated delays.
text generation — Detailed work plans drafted from specifications
Develop production, inventory, or quality assurance programs.
text generation — AI drafts technical methods; expert validates feasibility
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.
decision support — AI models process systems; engineer validates feasibility
Design plant layouts or production facilities.
decision support — AI assists structural design; engineer accountable for safety
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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