Will AI replace Industrial Engineering Technologists and Technicians?

Not as a job, but it is already doing parts of the work. Across the 55 official task statements scored for Industrial Engineering Technologists and Technicians (United States, SOC 17-3026), 24% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 30 out of 100 (range 26–36, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

What should someone working in “Industrial Engineering Technologists and Technicians” do about AI?

Start from the ledger rather than the headline: 24% of this job's weighted core work is exposed, and roughly 67% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Industrial Engineering Technologists and Technicians calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 55 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Industrial Engineering Technologists and Technicians

producing images or measurements, contributing written material or data for grant or patent applications and measuring emission of nanodust or nanoparticles during nanocomposite or other nano-scale production processes. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: preparing detailed verbal or written presentations. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 24%
changing shape: 9%
staying human: 67%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 30 out of 100 (26–36 allowing for uncertainty): low exposure, across 55 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for industrial engineering technologists and technicians is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

That slice is not coming back; the core of the job, producing images or measurements, using tools or techniques, atomic force microscopy, stays yours. The tools change, the responsibility doesn't.

Your week, as this page understands it

Apply engineering theory and principles to problems of industrial layout or manufacturing production, usually under the direction of engineering staff. May perform time and motion studies on worker operations in a variety of industries for purposes such as establishing standard production rates or improving efficiency. The job title says “industrial engineering technologists” or “technicians”: officially one job, two names. The real job is the part underneath: producing images or measurements, using tools or techniques, atomic force microscopy, scanning electron microscopy, optical microscopy. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But industrial engineering technologists and technicians is not one task. It is 55 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is producing images or measurements, using tools or techniques, atomic force microscopy, scanning electron microscopy, optical microscopy, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 24%
changing shape: 9%
staying human: 67%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

14 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Preparing detailed verbal or written presentations
This is reading one thing and writing another: detailed verbal in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare detailed verbal or written presentations for scientists, engineers, project managers, or upper management.” (O*NET task statement)
How this row was scored
Exposure score: 79 out of 100 (75–83 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Preparing written and slide presentations from technical results is one of the strongest uses of AI drafting.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Contributing written material or data for grant or patent applications
This is reading one thing and writing another: written material in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Contribute written material or data for grant or patent applications.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (62–70 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Grant and patent text drafts well from the underlying technical material, then experts check the claims.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Compiling and evaluating statistical data to determine and maintain quality and reliability of products
This is reading one thing and writing another: statistical data in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Compile and evaluate statistical data to determine and maintain quality and reliability of products.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Analyzing quality and reliability statistics is standard number work software handles well from production data already recorded.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Assisting nanoscientists or engineers in writing process specifications or documentation
This is reading one thing and writing another: nanoscientists in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Assist nanoscientists or engineers in writing process specifications or documentation.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning technical input into written process specifications is straightforward drafting from material already supplied.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

6 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Maintaining accurate record or batch-record documentation of nanoproduction
The software now makes the first pass at accurate record, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Maintain accurate record or batch-record documentation of nanoproduction.” (O*NET task statement)
How this row was scored
Exposure score: 49 out of 100 (42–56 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Batch records follow a fixed format, but they are completed at the bench as the work happens.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Collecting or compiling nanotechnology research or engineering data
The software now makes the first pass at nanotechnology research, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Collect or compile nanotechnology research or engineering data.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Compiling research and engineering data is largely a data-handling job, though some of it is gathered at the bench.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Creating or interpreting engineering drawings
The software now makes the first pass at drawings, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Create or interpret engineering drawings, schematic diagrams, formulas, or blueprints for management or engineering staff.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: AI can read and explain drawings reasonably, but producing accurate engineering drawings still needs a skilled human.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Staying human

35 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Producing images or measurements, using tools or techniques, atomic force microscopy
This work happens in the physical world: images, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Produce images or measurements, using tools or techniques such as atomic force microscopy, scanning electron microscopy, optical microscopy, particle size analysis, or zeta potential analysis.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Producing microscope images and measurements means operating the instrument with the sample in front of you.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Repairing nanotechnology processing or testing equipment or submitting work orders for equipment repair
This work happens in the physical world: nanotechnology, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Repair nanotechnology processing or testing equipment or submit work orders for equipment repair.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Repairing processing and testing equipment means working on the machine.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Collaborating with scientists or engineers to design or conduct experiments for the development of nanotechnology materials
The value here is that a specific person handles scientists and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Collaborate with scientists or engineers to design or conduct experiments for the development of nanotechnology materials, components, devices, or systems.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Experiment design can be drafted, but the work happens through close collaboration and hands-on trials.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.

Show the other 45 tasks

Reading worker logs
shifting to AI
This is reading one thing and writing another: worker logs in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Reading logs and spec sheets to check records match requirements is routine document checking that software does reliably.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing production documents, such as standard operating procedures, manufacturing batch records, inventory reports or productivity reports
shifting to AI
This is reading one thing and writing another: production documents in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Prepare production documents, such as standard operating procedures, manufacturing batch records, inventory reports, or productivity reports.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing procedures, batch records and productivity reports from existing data is exactly what AI drafting does well.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing, estimating or reporting production costs
shifting to AI
This is reading one thing and writing another: production costs in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Analyze, estimate, or report production costs.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Costing production from company data is standard analysis and reporting that software handles well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Conducting statistical studies to analyze or compare production costs for sustainable and nonsustainable designs
shifting to AI
This is reading one thing and writing another: statistical studies in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Conduct statistical studies to analyze or compare production costs for sustainable and nonsustainable designs.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing costs of sustainable and conventional designs is a statistical study built on data already held.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing production, inventory or quality assurance programs
shifting to AI
This is reading one thing and writing another: production, inventory or quality assurance programs in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Develop production, inventory, or quality assurance programs.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Quality and inventory program documents follow published standards and templates, so drafts are strong and need review.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing capability data, training materials or other documentation for transfer of processes to production
shifting to AI
This is reading one thing and writing another: capability data, training materials or other documentation in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare capability data, training materials, or other documentation for transfer of processes to production.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Turning process knowledge into training material and transfer documents is drafting work AI supports strongly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Analyzing the life cycle of nanomaterials or nano-enabled products to determine environmental impact
shifting to AI
This is reading one thing and writing another: the life cycle of nanomaterials in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Analyze the life cycle of nanomaterials or nano-enabled products to determine environmental impact.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Life-cycle analysis follows published method and databases, so a solid draft assessment can be produced and checked.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Recommending corrective or preventive actions to assure or improving product quality or reliability
shifting to AI
This is reading one thing and writing another: corrective in, a record out. That is the shape today's tools are built for.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Recommend corrective or preventive actions to assure or improve product quality or reliability.” (O*NET task statement)
How this row was scored
Exposure score: 68 out of 100 (61–75 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Recommending corrective action reads well from quality data, though the useful fix depends on knowing that plant.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Comparing the performance or environmental impact of nanomaterials by nanoparticle size
shifting to AI
This is reading one thing and writing another: the performance in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Compare the performance or environmental impact of nanomaterials by nanoparticle size, shape, or organization.” (O*NET task statement)
How this row was scored
Exposure score: 68 out of 100 (61–75 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; mistakes that are cheap to catch.
The rating behind it: Comparing nanomaterial performance across sizes and shapes is data analysis, though the data itself is lab-specific.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Aiding in planning work assignments in accordance with worker performance
shifting to AI
This is reading one thing and writing another: planning work assignments in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Aid in planning work assignments in accordance with worker performance, machine capacity, production schedules, or anticipated delays.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (57–71 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Planning assignments from schedules, machine capacity and known delays is a scheduling problem software solves well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Selecting material quantities or processing methods needed to achieve efficient production
changing shape
The software now makes the first pass at material quantities, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Select material quantities or processing methods needed to achieve efficient production.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Material quantities can be calculated, but choosing the processing method leans on experience of the actual equipment.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Selecting cleaning materials, tools or equipment
changing shape
The software now makes the first pass at materials, tools or equipment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Select cleaning materials, tools, or equipment.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Choosing cleaning materials and tools is a documented lookup against the surfaces and standards involved.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing layouts, drawings or sketches of machinery or equipment
changing shape
The software now makes the first pass at layouts, drawings or sketches of machinery or equipment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “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.” (O*NET task statement)
How this row was scored
Exposure score: 40 out of 100 (33–47 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over.
The rating behind it: Producing usable machinery drawings in CAD still needs a trained drafter; AI output is a starting point at best.
The five ratings: output a model can produce 1/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Evaluating industrial operations for compliance with permits or regulations related to the generation
staying human
The ratings behind this row put industrial operations well outside what today's tools can do on their own.
importance 3 · Supplemental
Source: “Evaluate industrial operations for compliance with permits or regulations related to the generation, storage, treatment, transportation, or disposal of hazardous materials or waste.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Hazardous waste rules are published, but judging compliance usually needs a look at the actual operation.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Designing plant layouts or production facilities
staying human
The ratings behind this row put plant layouts well outside what today's tools can do on their own.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Design plant layouts or production facilities.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Layout software helps a lot, but a workable plant layout depends on the specific building and its constraints.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Identifying opportunities for improvements in quality
staying human
The ratings behind this row put opportunities well outside what today's tools can do on their own.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Identify opportunities for improvements in quality, cost, or efficiency of automation equipment.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Spotting where automation could be cheaper or better needs knowledge of that specific line and its quirks.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Developing or implementing programs to address problems
staying human
The ratings behind this row put programs well outside what today's tools can do on their own.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Develop or implement programs to address problems related to production, materials, safety, or quality.” (O*NET task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Improvement programs can be drafted from documented methods, but making them work needs presence and local knowledge.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Providing advice or training to other technicians
staying human
The value here is that a specific person handles advice and stands behind it. That is earned, not computed.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Provide advice or training to other technicians.” (O*NET task statement)
How this row was scored
Exposure score: 26 out of 100 (19–33 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Advising and training other technicians works through demonstration and a colleague relationship on the floor.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Studying time, motion, methods or speed involved in maintenance, production or other operations to establish standard production rate or improve efficiency
staying human
This work happens in the physical world: time, motion, methods, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency.” (O*NET task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Time and motion study needs someone on the floor watching how the work actually happens.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Developing sustainable manufacturing technologies to reduce greenhouse gas emissions
staying human
The ratings behind this row put sustainable manufacturing technologies well outside what today's tools can do on their own.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “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.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the five ratings behind the score, with no single dominant reason.
The rating behind it: Developing genuinely new sustainable manufacturing technology is original engineering work, not something drawn from existing text.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Coordinating equipment purchases, installations or transfers
staying human
This work happens in the physical world: equipment purchases, installations or transfers, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Coordinate equipment purchases, installations, or transfers.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Buying equipment can be handled on paper, but installations and transfers need someone on site.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Adhering to all applicable regulations
staying human
This work happens in the physical world: all applicable regulations, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Adhere to all applicable regulations, policies, and procedures for health, safety, and environmental compliance.” (O*NET task statement)
How this row was scored
Exposure score: 18 out of 100 (11–25 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Following health, safety and environmental rules is something a person does on site, not a document produced.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Developing or modifying wet chemical or industrial laboratory experimental techniques for nanoscale
staying human
This work happens in the physical world: wet chemical, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Develop or modify wet chemical or industrial laboratory experimental techniques for nanoscale use.” (O*NET task statement)
How this row was scored
Exposure score: 16 out of 100 (9–23 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Adapting wet chemistry techniques for nanoscale work is experimental bench craft learned by doing.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Developing manufacturing infrastructure to integrate or deploy new manufacturing processes
staying human
This work happens in the physical world: infrastructure, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Develop manufacturing infrastructure to integrate or deploy new manufacturing processes.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Putting new manufacturing capability in place means building and commissioning real equipment.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Monitoring equipment during operation to ensure adherence to specifications
staying human
This work happens in the physical world: equipment during operation, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor equipment during operation to ensure adherence to specifications for characteristics such as pressure, temperature, or flow.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Sensors log the readings, but watching equipment through a run is a presence job on the floor.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Implementing new or enhanced methods or processes for the processing
staying human
This work happens in the physical world: new or enhanced methods or processes, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Implement new or enhanced methods or processes for the processing, testing, or manufacture of nanotechnology materials or products.” (O*NET task statement)
How this row was scored
Exposure score: 14 out of 100 (7–21 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Putting new processing or testing methods into use means proving them on real equipment.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Testing selected products at specified stages in the production process for performance characteristics or adherence to specifications
staying human
This work happens in the physical world: selected products, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Testing products on the line means handling them and running equipment at the point of production.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring and adjusting production processes or equipment for quality and productivity
staying human
This work happens in the physical world: production processes, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Monitor and adjust production processes or equipment for quality and productivity.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Adjusting live production processes and equipment happens at the machine.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Overseeing or inspecting production processes
staying human
This work happens in the physical world: production processes, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Oversee or inspect production processes.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Overseeing and inspecting production means being on the floor while it runs.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Inspecting or measuring thin films of carbon nanotubes
staying human
This work happens in the physical world: thin films of carbon nanotubes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect or measure thin films of carbon nanotubes, polymers, or inorganic coatings, using a variety of techniques or analytical tools.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Measuring thin films means running the analytical instrument on the physical sample.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Measuring emission of nanodust or nanoparticles during nanocomposite or other nano-scale production processes
staying human
This work happens in the physical world: emission of nanodust, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Measure emission of nanodust or nanoparticles during nanocomposite or other nano-scale production processes, using systems such as aerosol detection systems.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Measuring airborne nanoparticles during production requires the detection equipment set up where the process runs.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Verifying that equipment is being operated and maintained according to quality assurance standards by observing worker performance
staying human
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (3–11 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking that equipment is run correctly means watching operators at the machine.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Assisting engineers in developing, building or testing prototypes or new products, processes or procedures
staying human
This work happens in the physical world: engineers, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Assist engineers in developing, building, or testing prototypes or new products, processes, or procedures.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (3–11 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Building and testing prototypes means hands on materials and equipment in the workshop.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Overseeing equipment start-up, characterization, qualification or releasing
staying human
This work happens in the physical world: equipment start-up, characterization, qualification, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Oversee equipment start-up, characterization, qualification, or release.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (3–11 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Bringing equipment into service and proving it works is hands-on commissioning.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Monitoring hazardous waste cleanup procedures to ensure proper application of nanocomposites or accomplishment of objectives
staying human
This work happens in the physical world: hazardous waste cleanup procedures, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor hazardous waste cleanup procedures to ensure proper application of nanocomposites or accomplishment of objectives.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (0–14 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Monitoring hazardous waste cleanup means being where the cleanup is happening.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Assisting nanoscientists or engineers in processing or characterizing materials according to physical or chemical properties
staying human
This work happens in the physical world: nanoscientists, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Assist nanoscientists or engineers in processing or characterizing materials according to physical or chemical properties.” (O*NET task statement)
How this row was scored
Exposure score: 7 out of 100 (3–11 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Processing and characterizing materials alongside scientists is bench work with the samples in hand.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Calibrating or adjusting equipment to ensure quality production
staying human
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Calibrate or adjust equipment to ensure quality production, using tools such as calipers, micrometers, height gauges, protractors, or ring gauges.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Calibrating equipment with calipers and gauges is hands-on adjustment of physical instruments.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Setting up and operating production equipment in accordance with current good manufacturing practices and standard operating procedures
staying human
This work happens in the physical world: and operating production equipment, in a real place. Software cannot follow it there.
importance not published
O*NET hasn't yet published importance ratings for this occupation's tasks, so the ordering here is ours, not theirs.
Source: “Set up and operate production equipment in accordance with current good manufacturing practices and standard operating procedures.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Setting up and running production equipment happens with hands on the plant.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Operating nanotechnology compounding, testing, processing or production equipment in accordance with appropriate standard operating procedures
staying human
This work happens in the physical world: nanotechnology compounding, testing, processing or production equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Operate nanotechnology compounding, testing, processing, or production equipment in accordance with appropriate standard operating procedures, good manufacturing practices, hazardous material restrictions, or health and safety requirements.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Operating nanotechnology production and testing equipment is physical machine work.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Maintaining work area according to cleanroom or other processing standards
staying human
This work happens in the physical world: work area, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain work area according to cleanroom or other processing standards.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Keeping a cleanroom to standard is physical work in the room itself.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Measuring or mixing chemicals or compounds in accordance with detailed instructions or formulas
staying human
This work happens in the physical world: chemicals, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Measure or mix chemicals or compounds in accordance with detailed instructions or formulas.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Measuring and mixing chemicals is hands-on laboratory work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calibrating nanotechnology equipment, such as weighing, testing or production equipment
staying human
This work happens in the physical world: nanotechnology equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Calibrate nanotechnology equipment, such as weighing, testing, or production equipment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Calibrating weighing, testing and production equipment is hands-on instrument work.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Processing nanoparticles or nanostructures, using technologies, ultraviolet radiation, microwave energy or catalysis
staying human
This work happens in the physical world: nanoparticles, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Process nanoparticles or nanostructures, using technologies such as ultraviolet radiation, microwave energy, or catalysis.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Processing nanoparticles with radiation, microwaves or catalysis is physical laboratory work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing functional tests of nano-enhanced assemblies
staying human
This work happens in the physical world: functional tests of nano-enhanced assemblies, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Perform functional tests of nano-enhanced assemblies, components, or systems, using equipment such as torque gauges or conductivity meters.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Functional testing with torque gauges and meters is hands-on measurement of physical assemblies.
The five ratings: output a model can produce 1/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Assembling components, using techniques, interference fitting, solvent bonding, adhesive bonding, heat sealing or ultrasonic welding
staying human
This work happens in the physical world: components, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Assemble components, using techniques such as interference fitting, solvent bonding, adhesive bonding, heat sealing, or ultrasonic welding.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Assembling components by bonding, sealing or welding is hands-on manufacturing.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $66,120a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 75,570in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: detailed verbal in, a record out. The rows above are exactly that shape: preparing detailed verbal or written presentations and contributing written material or data for grant or patent applications. What it cannot do is be there in the room, and that is still where images get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Your week is splitting in two, and which half fills it is the whole question. Preparing detailed verbal or written presentations is going; producing images or measurements, using tools or techniques, atomic force microscopy is not.

So, given all that: 24% of this job's task weight sits in rows the software is already learning, 9% in rows that change shape rather than disappear, and 67% in rows it is nowhere near. That is the position, measured across 55 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (producing images or measurements, using tools or techniques, atomic force microscopy) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles producing images or measurements, using tools or techniques, atomic force microscopy, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to industrial engineering technologists and technicians (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was engineers, all other: only about 4% of its durable work is work you already do. And on the numbers you do not need one. This job scores 30/100 here, with only 24% of the task list in the top band, and “produce images or measurements, using tools or techniques” is not work that hands over cleanly. None of them beats deepening what you already have.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

Engineers, All Other
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already assist engineers in developing, building, or testing prototypes or new products, processes, or…, and their equivalent is to develop or test photonic prototypes or models. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Industrial Engineers
Why it looked obvious: It came up as a near neighbour because one of your tasks is on their list in the same words: “develop sustainable manufacturing technologies to reduce greenhouse gas emissions, minimize raw material use, replace toxic materials…”. Across the whole of both lists that adds up to about 3% of the work in that job the software is not taking.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Chemical Equipment Operators and Tenders
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already test selected products at specified stages in the production process for performance characteristics…, and their equivalent is to draw samples of products at specified stages. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $58,040 against your $66,120, 12.2% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 24% of its task weight, across 55 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Quality assurance technicians is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

Science, engineering and production technicians n.e.c.

In UK official statistics this job is counted as Quality assurance technicians and Science, engineering and production technicians n.e.c.. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for industrial engineering technologists / technicians, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 24% of the work on this page is already inside what they can do.

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Questions people ask about this job

Will AI replace Industrial Engineering Technologists and Technicians?: Not as a job, but it is already doing parts of the work. Across the 55 official task statements scored for Industrial Engineering Technologists and Technicians (United States, SOC 17-3026), 24% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 30 out of 100 (range 26–36, band: low). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Industrial Engineering Technologists and Technicians” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications” (93/100, very high); “Prepare production documents, such as standard operating procedures, manufacturing batch records, inventory reports, or productivity reports” (93/100, very high); “Assist nanoscientists or engineers in writing process specifications or documentation” (93/100, very high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Industrial Engineering Technologists and Technicians” stay human?: About 67% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Assemble components, using techniques such as interference fitting, solvent bonding, adhesive bonding, heat sealing, or ultrasonic welding” (0/100, minimal); “Perform functional tests of nano-enhanced assemblies, components, or systems, using equipment such as torque gauges or conductivity meters” (0/100, minimal); “Process nanoparticles or nanostructures, using technologies such as ultraviolet radiation, microwave energy, or catalysis” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Industrial Engineering Technologists and Technicians” do about AI?: Start from the ledger rather than the headline: 24% of this job's weighted core work is exposed, and roughly 67% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Industrial Engineering Technologists and Technicians calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 55 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt-with-imputed)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.