Will AI replace Mechanical Engineering Technologists and Technicians?

Not as a job, but it is already doing parts of the work. Across the 48 official task statements scored for Mechanical Engineering Technologists and Technicians (United States, SOC 17-3027), 30% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 39 out of 100 (range 35–45, 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 “Mechanical Engineering Technologists and Technicians” do about AI?

Start from the ledger rather than the headline: 30% of this job's weighted core work is exposed, and roughly 51% 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 Mechanical 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 48 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

Mechanical Engineering Technologists and Technicians

documenting test results, using cameras, spreadsheets, documents or other tools, testing machines, components and drafting detail drawing or sketching for drafting room completion or to request parts fabrication. 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: analyzing test data for automotive systems. 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: 30%
changing shape: 19%
staying human: 51%

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

Whole-job exposure score 39 out of 100 (35–45 allowing for uncertainty): low exposure, across 48 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 mechanical 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 2026-08-05. Read the full method.

That slice is not coming back; the core of the job, setting up mechanical, hydraulic or electric test equipment in accordance with engineering specifications, standards or testing procedures, stays yours. New tools, same person answering for it.

Your week, as this page understands it

Apply theory and principles of mechanical engineering to modify, develop, test, or adjust machinery and equipment under direction of engineering staff or physical scientists. The job title says “mechanical engineering technologists” or “technicians”: officially one job, two names. The real job is the part underneath: setting up mechanical, hydraulic or electric test equipment in accordance with engineering specifications, standards or testing procedures. 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 mechanical engineering technologists and technicians is not one task. It is 48 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is setting up mechanical, hydraulic or electric test equipment in accordance with engineering specifications, standards or testing procedures, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 30%
changing shape: 19%
staying human: 51%

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 2026-08-05. 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.

3 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

15 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.

Documenting test results, using cameras, spreadsheets, documents or other tools
This is reading one thing and writing another: test results in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Document test results, using cameras, spreadsheets, documents, or other tools.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 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: Capturing test results into spreadsheets and documents is recording work that instruments and software largely do already.
The five ratings: output a model can produce 4/4 · 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.
Analyzing test data for automotive systems
This is reading one thing and writing another: test data in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze test data for automotive systems, subsystems, or component parts.” (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 vehicle test data is number crunching that software does to a standard engineers accept and check.
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.
Ordering new test equipment, supplies or replacement parts
This is reading one thing and writing another: new test equipment, supplies or replacement parts in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Order new test equipment, supplies, or replacement parts.” (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: Ordering test equipment and spares is catalog and purchasing work software handles from records.
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 tests or testing conditions in accordance with designs
This is reading one thing and writing another: tests in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Recommend tests or testing conditions in accordance with designs, customer requirements, or industry standards to ensure test validity.” (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: Recommending test conditions from designs, customer requirements and published standards is documented work software drafts 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.

Changing shape

9 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.

Reading and interpreting blueprints, schematics, work specifications, drawings or charts
The software now makes the first pass at blueprints, schematics, work specifications, drawings or charts, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Read and interpret blueprints, schematics, work specifications, drawings, or charts.” (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: Software reads schematics and specifications reasonably, but drawings still need a technician to confirm the details.
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.
Interpreting engineering sketches, specifications or drawings
The software now makes the first pass at sketches, specifications or drawings, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Interpret engineering sketches, specifications, or drawings.” (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: Software is getting better at reading engineering drawings, but it still misreads enough that a technician must check.
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.
Reviewing project instructions and blueprints to ascertain test specifications
The software now makes the first pass at project instructions, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Review project instructions and blueprints to ascertain test specifications, procedures, and objectives, and test nature of technical problems such as redesign.” (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: Reading blueprints and instructions to work out what to test gives software a decent starting point needing review.
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

24 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.

Setting up mechanical, hydraulic or electric test equipment in accordance with engineering specifications, standards or testing procedures
This work happens in the physical world: mechanical, hydraulic or electric test equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Set up mechanical, hydraulic, or electric test equipment in accordance with engineering specifications, standards, or test 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: Rigging up hydraulic and electrical test equipment is physical setup 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.
Monitoring computer-controlled test equipment, according to written or verbal instructions
This work happens in the physical world: computer-controlled test equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Monitor computer-controlled test equipment, according to written or verbal instructions.” (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; work that happens in the physical world.
The rating behind it: Watching computer-controlled test rigs is largely automated, though someone is normally in the lab while tests run.
The five ratings: output a model can produce 3/4 · 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 3/4.
Installing equipment, such as instrumentation, test equipment, engines or aftermarket products, to ensure proper interfaces
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Install equipment, such as instrumentation, test equipment, engines, or aftermarket products, to ensure proper interfaces.” (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: Fitting engines, instruments or aftermarket parts is physical installation 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.

Show the other 38 tasks

Estimating cost factors
shifting to AI
This is reading one thing and writing another: cost factors in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Estimate cost factors including labor and material for purchased and fabricated parts and costs for assembly, testing, or installing.” (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: Costing labor, materials and assembly from rate tables is arithmetic that estimating software already does accurately.
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 energy requirements and distribution systems to maximize the use of intermittent or inflexible renewable energy sources
shifting to AI
This is reading one thing and writing another: energy requirements in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Analyze energy requirements and distribution systems to maximize the use of intermittent or inflexible renewable energy sources, such as wind or nuclear.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 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: Analyzing energy demand and distribution to fit renewable supply is well-documented modeling work software does 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 4/4.
Preparing parts sketches and writing work orders and purchasing requests to be furnished by outside contractors
shifting to AI
This is reading one thing and writing another: parts sketches in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Prepare parts sketches and write work orders and purchase requests to be furnished by outside contractors.” (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: Work orders and purchase requests follow set formats, so software assembles most of the paperwork.
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.
Reviewing project instructions and specifications
shifting to AI
This is reading one thing and writing another: project instructions in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Review project instructions and specifications to identify, modify and plan requirements fabrication, assembly and testing.” (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: Reading project specifications to plan fabrication, assembly and testing requirements is documented planning work software does 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.
Recording test procedures and results
shifting to AI
This is reading one thing and writing another: test procedures in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Record test procedures and results, numerical and graphical data, and recommendations for changes in product or test methods.” (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: Writing up test procedures, data and recommended changes is documentation software drafts to a usable standard.
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 product or component design improvements
shifting to AI
This is reading one thing and writing another: product in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Recommend product or component design improvements, based on test data or observations.” (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 test data into design improvement recommendations is analysis and writing software does to a usable standard.
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 performance of vehicles or components that have been redesigned to increase fuel efficiency
shifting to AI
This is reading one thing and writing another: performance of vehicles in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze performance of vehicles or components that have been redesigned to increase fuel efficiency, such as camless or dual-clutch engines or alternative types of air-conditioning systems.” (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: Comparing the performance of redesigned components against earlier data is analysis software does 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.
Analyzing or estimating 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 or estimate production costs, such as labor, equipment, and plant space.” (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: Estimating production costs from labor, equipment and space figures is spreadsheet analysis 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 3 · Supplemental
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.
Preparing equipment inspection schedules, reliability schedules, work plans or other records
shifting to AI
This is reading one thing and writing another: equipment inspection schedules, reliability schedules in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Prepare equipment inspection schedules, reliability schedules, work plans, or other records.” (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: Building inspection and reliability schedules from asset records is planning work maintenance software already handles.
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.
Calculating required capacities for equipment of proposed system to obtain specified performance and submit data to engineering personnel
shifting to AI
This is reading one thing and writing another: required capacities in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Calculate required capacities for equipment of proposed system to obtain specified performance and submit data to engineering personnel for approval.” (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: Sizing equipment to hit a performance target is a documented calculation software does well before an engineer approves it.
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.
Drafting detail drawing or sketching for drafting room completion or to request parts fabrication
changing shape
The software now makes the first pass at detail, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Draft detail drawing or sketch for drafting room completion or to request parts fabrication by machine, sheet or wood shops.” (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: Software drafts usable sketches, but detail drawings for fabrication still need a technician to get right.
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.
Evaluating tool drawing designs by measuring drawing dimensions and comparing with original specifications for form and function using engineering skills
changing shape
The software now makes the first pass at tool drawing designs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Evaluate tool drawing designs by measuring drawing dimensions and comparing with original specifications for form and function using engineering skills.” (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: Checking drawing dimensions against specifications is close to automatable, but reading technical drawings reliably still trips software up.
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.
Conducting failure analyses, document results and recommending corrective actions
changing shape
The software now makes the first pass at failure analyses, document results and recommending corrective actions, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Conduct failure analyses, document results, and recommend corrective actions.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (52–60 allowing for uncertainty): partial 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: Failure analysis follows documented methods and produces a written report, which software drafts well from the evidence.
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 specifications, designs or sketches for machines, components or systems related to the generation, transmission or using of mechanical or fluid energy
changing shape
The software now makes the first pass at specifications, designs or sketches, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Prepare specifications, designs, or sketches for machines, components, or systems related to the generation, transmission, or use of mechanical or fluid energy.” (O*NET task statement)
How this row was scored
Exposure score: 50 out of 100 (43–57 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: Specifications and design sketches for fluid or mechanical systems get a rough draft from software, then engineering review.
The five ratings: output a model can produce 2/4 · 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.
Designing molds, tools, dies, jigs or fixtures for use in manufacturing processes
changing shape
The software now makes the first pass at molds, tools, dies, jigs or fixtures, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Design molds, tools, dies, jigs, or fixtures for use in manufacturing processes.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 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: Software drafts tooling and fixture concepts, but making them actually work in the shop needs experienced judgment.
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 3/4.
Preparing layouts of machinery, tools, plants or equipment
changing shape
The software now makes the first pass at layouts of machinery, tools, plants or equipment, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Prepare layouts of machinery, tools, plants, or equipment.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 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: Software drafts machinery and plant layouts, but fitting them to a real floor needs someone who knows the site.
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 3/4.
Analyzing test results in relation to design or rated specifications and test objectives
staying human
This work happens in the physical world: test results, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Analyze test results in relation to design or rated specifications and test objectives, and modify or adjust equipment to meet specifications.” (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; work that happens in the physical world.
The rating behind it: Comparing test results to specifications is strong ground for software; adjusting the equipment afterwards needs hands.
The five ratings: output a model can produce 3/4 · 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 3/4.
Providing technical support to other employees regarding mechanical design
staying human
The ratings behind this row put technical support well outside what today's tools can do on their own.
importance 4 · Core
Source: “Provide technical support to other employees regarding mechanical design, fabrication, testing, or documentation.” (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: Reference answers are easy to produce, but colleagues usually want a technician who knows their kit and equipment.
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.
Discussing changes in design
staying human
The value here is that a specific person handles changes 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: “Discuss changes in design, method of manufacture and assembly, or drafting techniques and procedures with staff and coordinate corrections.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Design and method changes get agreed through discussion with the people who have to build the thing.
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 3/4.
Designing specialized or customized equipment
staying human
The ratings behind this row put specialized well outside what today's tools can do on their own.
importance 3 · Core
Source: “Design specialized or customized equipment, machines, or structures.” (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 same decision, made over and over.
The rating behind it: Custom machine design produces starting ideas from software, but the real design work stays with experienced people.
The five ratings: output a model can produce 1/4 · 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.
Participating in research or testing of computerized automotive applications
staying human
This work happens in the physical world: research, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Participate in research or testing of computerized automotive applications, such as telemetrics, intelligent transportation systems, artificial intelligence, or automatic control.” (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 same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Some of this research is analysis, but testing telematics and control systems involves real vehicles and shared project work.
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 3/4.
Assisting engineers to design, develop, test or manufacture industrial machinery, consumer products or other equipment
staying human
This work happens in the physical world: engineers, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Assist engineers to design, develop, test, or manufacture industrial machinery, consumer products, or other equipment.” (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: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Some of the support work is analysis, but assisting on build and test means being in the lab or shop.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Reading dials and meters to determine amperage
staying human
This work happens in the physical world: dials, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Read dials and meters to determine amperage, voltage, electrical output and input at specific operating temperature to analyze parts performance.” (O*NET task statement)
How this row was scored
Exposure score: 19 out of 100 (12–26 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: Data loggers capture these readings automatically, but as done today someone stands at the instrument reading dials.
The five ratings: output a model can produce 3/4 · 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, inspecting or testing mechanical equipment
staying human
This work happens in the physical world: mechanical 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: “Monitor, inspect, or test mechanical equipment.” (O*NET task statement)
How this row was scored
Exposure score: 19 out of 100 (12–26 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 handle a lot of monitoring, but inspecting and testing equipment as done today means being at the machine.
The five ratings: output a model can produce 3/4 · 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.
Inspecting or testing parts to determine nature or cause of defects or malfunctions
staying human
This work happens in the physical world: parts, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect or test parts to determine nature or cause of defects or malfunctions.” (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: Machine vision catches some defects, but inspecting a part for the cause of a fault usually means handling it.
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.
Performing or executing manual or automated tests of automotive system or component performance
staying human
This work happens in the physical world: manual, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform or execute manual or automated tests of automotive system or component performance, efficiency, or durability.” (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: Some tests run automatically, but performance and durability testing still means real vehicles and components on a rig.
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.
Improving fuel efficiency by testing vehicles or components that use lighter materials
staying human
This work happens in the physical world: fuel efficiency, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Improve fuel efficiency by testing vehicles or components that use lighter materials, such as aluminum, magnesium alloy, or plastic.” (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: Choosing lighter materials can be modeled, but proving the gain means testing real parts on real vehicles.
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.
Testing performance of vehicles that use alternative fuels
staying human
This work happens in the physical world: performance of vehicles, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Test performance of vehicles that use alternative fuels, such as alcohol blends, natural gas, liquefied petroleum gas, biodiesel, nano diesel, or alternative power methods, such as solar energy or hydrogen fuel cells.” (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: Alternative-fuel performance testing needs the actual vehicle running on a rig or track.
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.
Testing machines, components, materials or products to determine characteristics, performance, strength or response to stress
staying human
This work happens in the physical world: machines, components, materials or products, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Test machines, components, materials, or products to determine characteristics such as performance, strength, or response to stress.” (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: Physically testing a machine or material for strength and performance means putting it under load.
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.
Setting up and conducting tests of complete units and components under operational conditions to investigate proposals for improving equipment performance
staying human
This work happens in the physical world: and conducting tests of complete units, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Set up and conduct tests of complete units and components under operational conditions to investigate proposals for improving equipment performance.” (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: Running whole units under operating conditions means setting up and watching real hardware.
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.
Setting up prototype and testing apparatus and operating test controlling equipment to observe and record prototype test results
staying human
This work happens in the physical world: prototype, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Set up prototype and test apparatus and operate test controlling equipment to observe and record prototype test results.” (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: Setting up a prototype rig and operating test controls is hands-on lab 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.
Building instrumentation or laboratory test equipment for special purposes
staying human
This work happens in the physical world: instrumentation, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Build instrumentation or laboratory test equipment for special purposes.” (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: Building special test equipment is workshop construction.
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.
Maintaining test equipment in operational condition by performing routine maintenance or making minor repairs or adjustments
staying human
This work happens in the physical world: test equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain test equipment in operational condition by performing routine maintenance or making minor repairs or adjustments as needed.” (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 test equipment working means adjusting and repairing it by hand.
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.
Fabricating new or modifying existing prototype components or fixtures
staying human
This work happens in the physical world: new or modifying existing prototype components or fixtures, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Fabricate new or modify existing prototype components or fixtures.” (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: Making or modifying prototype parts and fixtures is physical fabrication.
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.
Assembling or disassembling complex mechanical systems
staying human
This work happens in the physical world: complex mechanical systems, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Assemble or disassemble complex mechanical systems.” (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: Building up or stripping down a mechanical system is done with tools in your hands.
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.
Assisting mechanical engineers in product testing through activities
staying human
This work happens in the physical world: mechanical engineers, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Assist mechanical engineers in product testing through activities such as setting up instrumentation for automobile crash tests.” (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: Rigging instrumentation for a crash test means physically fitting it to the vehicle.
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 1/4 · how much data exists 2/4.
Devising fabricate or assembling new or modified mechanical components
staying human
This work happens in the physical world: fabricate, 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: “Devise, fabricate, or assemble new or modified mechanical components for products such as industrial machinery or equipment, and measuring instruments.” (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: Making or fitting new mechanical components is physical shop 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.

What this job pays, and how many people do it

Median pay: $74,510a 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: 36,190in 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: test data in, a record out. The rows above are exactly that shape: analyzing test data for automotive systems and documenting test results, using cameras, spreadsheets, documents or other tools. What it cannot do is be there in the room, and that is still where mechanical, hydraulic or electric test equipment 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. Analyzing test data for automotive systems is going; setting up mechanical, hydraulic or electric test equipment in accordance with engineering specifications, standards or testing procedures is not.

So, given all that: 30% of this job's task weight sits in rows the software is already learning, 19% in rows that change shape rather than disappear, and 51% in rows it is nowhere near. That is the position, measured across 48 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 (setting up mechanical, hydraulic or electric test equipment in accordance with engineering specifications, standards or testing procedures) 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 setting up mechanical, hydraulic or electric test equipment in accordance with engineering specifications, standards or testing procedures, 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 mechanical 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 mechanical engineers: only about 7% of its durable work is work you already do. And on the numbers you do not need one. This job scores 39/100 here, with only 30% of the task list in the top band, and “set up mechanical, hydraulic, or electric test equipment in accordance with engineering…” 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.

Mechanical Engineers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already improve fuel efficiency by testing vehicles or components that use lighter materials, and their equivalent is to design vehicles that use lighter materials. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Engineering Technologists and Technicians, Except Drafters, All Other
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already set up prototype and test apparatus and operate test controlling equipment to observe…, and their equivalent is to set up or operate prototype or test apparatus. 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 →
Inspectors, Testers, Sorters, Samplers, and Weighers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already analyze test data for automotive systems, subsystems, or component parts, and their equivalent is to position products, components, or parts for testing. 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: $48,570 against your $74,510, 34.8% 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: 30% of its task weight, across 48 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 Engineering 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

In UK official statistics this job is counted as Engineering technicians. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

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 mechanical 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 30% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for mechanical engineering technologists / technicians. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for mechanical engineering technologists / technicians launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for mechanical engineering technologists / technicians yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for mechanical engineering technologists / technicians existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for mechanical engineering technologists / technicians launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Mechanical Engineering Technologists and Technicians?: Not as a job, but it is already doing parts of the work. Across the 48 official task statements scored for Mechanical Engineering Technologists and Technicians (United States, SOC 17-3027), 30% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 39 out of 100 (range 35–45, 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 “Mechanical Engineering Technologists and Technicians” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Estimate cost factors including labor and material for purchased and fabricated parts and costs for assembly, testing, or installing” (93/100, very high); “Analyze energy requirements and distribution systems to maximize the use of intermittent or inflexible renewable energy sources, such as wind or nuclear” (83/100, very high); “Prepare parts sketches and write work orders and purchase requests to be furnished by outside contractors” (75/100, 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 “Mechanical Engineering Technologists and Technicians” stay human?: About 51% 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: “Devise, fabricate, or assemble new or modified mechanical components for products such as industrial machinery or equipment, and measuring instruments” (0/100, minimal); “Assist mechanical engineers in product testing through activities such as setting up instrumentation for automobile crash tests” (0/100, minimal); “Assemble or disassemble complex mechanical systems” (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 “Mechanical Engineering Technologists and Technicians” do about AI?: Start from the ledger rather than the headline: 30% of this job's weighted core work is exposed, and roughly 51% 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 Mechanical 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 48 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.
3 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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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.