Gini Loh System Tools

AI Automation Index

Will AI Replace Industrial Engineering Technologists and Technicians?

Task-level automation exposure for Industrial Engineering Technologists and Technicians: 30 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

49% weighted task index

30 of 30 tasks scored

Median Salary

$66,120 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

75,570 people hold this job — size, not growth

Projected 2025–35

+3.1% employment change

6,600 openings a year · BLS line item

Pay by state

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

Oklahoma $79,330
Maryland $79,090
California $79,070
Washington $78,430
Oregon $75,760

Lowest medians

Puerto Rico $46,470
Mississippi $50,180
South Dakota $54,570
West Virginia $57,240
Tennessee $58,070

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.

What the score is made of

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.

Automation potential 49%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 9%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 45%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 3%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 24/100 Low

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.

Constituent Task Mix

30 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 29%

9 tasks

Medium exposure (≥ 35%) 58%

17 tasks

Low exposure (below 35%) 13%

4 tasks

How would you survive?

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 →

Constituent Tasks

#22022 · Core · 45% automatable

Adhere to all applicable regulations, policies, and procedures for health, safety, and environmental compliance.

data analysis — AI analyzes monitoring data; human samples in field

Monitor activities affecting environmental quality.
#22037 · Core · 28% automatable

Oversee or inspect production processes.

interpersonal — Industrial production direction is human supervisory control

Direct industrial production activities.
#22034 · Core · 45% automatable

Identify opportunities for improvements in quality, cost, or efficiency of automation equipment.

decision support — AI drafts equipment designs; engineer owns manufacturability

Design industrial equipment.
#22031 · Core · 50% automatable

Develop or implement programs to address problems related to production, materials, safety, or quality.

text generation — AI drafts technical methods; expert validates feasibility

Implement design or process improvements. Develop technical methods or processes.
#20516 · Core · 30% automatable

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

Test products for functionality or quality.
#22028 · Core · 60% automatable

Create or interpret engineering drawings, schematic diagrams, formulas, or blueprints for management or engineering staff.

visual inspection — Generates diagrams; technical accuracy and standards human

Prepare drawings or diagrams of products or services. Explain engineering drawings, specifications, or other technical information.
#3672 · Core · 60% automatable

Compile and evaluate statistical data to determine and maintain quality and reliability of products.

decision support — Usefulness assessment needs context and testing

Assess product or process usefulness.
#22041 · Core · 68% automatable

Recommend corrective or preventive actions to assure or improve product quality or reliability.

decision support — Proposes design changes; human validates feasibility

Recommend technical design or process changes to improve efficiency, quality, or performance.
#3668 · Core · 55% automatable

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

Monitor processes for compliance with standards.
#20518 · Core · 42% automatable

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

Inspect operational processes.
#22043 · Core · 54% automatable

Select material quantities or processing methods needed to achieve efficient production.

decision support — Project material selection needs spec and site judgment

Determine operational methods. Select project materials.
#22035 · Core · 39% automatable

Monitor and adjust production processes or equipment for quality and productivity.

data analysis — Efficiency metrics are digital and analyzable by AI

Monitor the productivity or efficiency of industrial operations. Calibrate scientific or technical equipment.
#22024 · Core · 38% automatable

Assist engineers in developing, building, or testing prototypes or new products, processes, or procedures.

text generation — AI drafts technical methods; expert validates feasibility

Create physical models or prototypes. Develop technical methods or processes.
#22038 · Core · 55% automatable

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

Create graphical representations of industrial production systems.
#3660 · Core · 42% automatable

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

Research human performance or health factors related to engineering or design activities.
#22040 · Core · 40% automatable

Provide advice or training to other technicians.

interpersonal — Operational procedure training needs live demonstration

Train personnel on proper operational procedures.
#22023 · Core · 69% automatable

Analyze, estimate, or report production costs.

data analysis — Cost-benefit analysis from given inputs; human reviews

Estimate operational costs. Analyze costs and benefits of proposed designs or projects.
#22039 · Core · 80% automatable

Prepare production documents, such as standard operating procedures, manufacturing batch records, inventory reports, or productivity reports.

text generation — Generate operational reports from structured data

Prepare operational reports.
#22027 · Core · 65% automatable

Coordinate equipment purchases, installations, or transfers.

decision support — Procurement drafting and comparison; human commits funds

Purchase materials, equipment, or other resources.
#22042 · Core · 58% automatable

Select cleaning materials, tools, or equipment.

decision support — Project material selection needs spec and site judgment

Select project materials.
#22025 · Supplemental · 18% automatable

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

Calibrate scientific or technical equipment.
#22044 · Supplemental · 15% automatable

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

Operate industrial equipment.
#19692 · Supplemental · 55% automatable

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

Monitor processes for compliance with standards.
#22026 · Supplemental · 70% automatable

Conduct statistical studies to analyze or compare production costs for sustainable and nonsustainable designs.

data analysis — Cost-benefit analysis from given inputs; human reviews

Analyze costs and benefits of proposed designs or projects.
#22036 · Supplemental · 35% automatable

Oversee equipment start-up, characterization, qualification, or release.

interpersonal — Directing QC needs human oversight of physical processes

Direct quality control activities.
#22030 · Supplemental · 45% automatable

Develop manufacturing infrastructure to integrate or deploy new manufacturing processes.

decision support — AI models process systems; engineer validates feasibility

Design industrial processing systems.
#3663 · Supplemental · 72% automatable

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

Prepare detailed work plans.
#22032 · Supplemental · 60% automatable

Develop production, inventory, or quality assurance programs.

text generation — AI drafts technical methods; expert validates feasibility

Develop technical methods or processes.
#22033 · Supplemental · 45% automatable

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 industrial processing systems.
#22029 · Supplemental · 50% automatable

Design plant layouts or production facilities.

decision support — AI assists structural design; engineer accountable for safety

Design structures or facilities.
Embed this calculator on your site ↓

Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.

<div class="giniloh-calculator-embed" data-calculator="industrial-engineering-technologists-and-technicians"></div> <script src="https://giniloh.com/embed.js" async></script>

Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

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

Engineer at work

Best AI Proof Jobs in a Changing Market

Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.

Read Article ->