Will AI replace Environmental Engineering Technologists and Technicians?

Not as a job, but it is already doing parts of the work. Across the 26 official task statements scored for Environmental Engineering Technologists and Technicians (United States, SOC 17-3025), 30% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 35 out of 100 (range 30–41, 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 “Environmental 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 61% 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.

US dataswitch to UK

Environmental Engineering Technologists and Technicians

assisting in the cleanup of hazardous material spills, maintaining process parameters and evaluating process anomalies and inspecting facilities to monitor compliance with regulations governing substances. 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: producing environmental assessment reports, tabulating data and preparing charts, graphs or sketches. 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: 9%
staying human: 61%

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

Whole-job exposure score 35 out of 100 (30–41 allowing for uncertainty): low exposure, across 26 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 environmental 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, preparing and packaging environmental samples for shipping or testing, stays yours. The tools change hands, the accountability doesn't.

Your week, as this page understands it

Apply theory and principles of environmental engineering to modify, test, and operate equipment and devices used in the prevention, control, and remediation of environmental problems, including waste treatment and site remediation, under the direction of engineering staff or scientists. May assist in the development of environmental remediation devices. The job title says “environmental engineering technologists” or “technicians”: officially one job, two names. The real job is the part underneath: preparing and packaging environmental samples for shipping or testing. 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 environmental engineering technologists and technicians is not one task. It is 26 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is preparing and packaging environmental samples for shipping or testing, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 30%
changing shape: 9%
staying human: 61%

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.

One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
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

9 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.

Producing environmental assessment reports, tabulating data and preparing charts, graphs or sketches
This is reading one thing and writing another: environmental assessment reports, tabulating data and preparing charts in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Produce environmental assessment reports, tabulating data and preparing charts, graphs, or sketches.” (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: Turning collected data into a written assessment with charts is exactly the kind of document AI drafts well.
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.
Reviewing technical documents to ensure completeness and conformance to requirements
This is reading one thing and writing another: technical documents in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Review technical documents to ensure completeness and conformance to requirements.” (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: Checking documents against a list of requirements is a desk task computers are already good at.
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.
Reviewing work plans to schedule activities
This is reading one thing and writing another: work plans in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Review work plans to schedule activities.” (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 work plans and building a schedule from them is straightforward planning work at a screen.
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 permit applications or reviewing compliance with environmental permits
This is reading one thing and writing another: permit applications in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare permit applications or review compliance with environmental permits.” (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: Permit paperwork follows published rules and standard forms, which AI drafts and checks well.
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.

Changing shape

2 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 project logbook records or computer program files
The software now makes the first pass at project logbook records, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Maintain project logbook records or computer program files.” (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: Keeping project logs and files organized is routine record work that software does reliably.
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.
Arranging for the disposal of lead
The software now makes the first pass at the disposal of lead, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Arrange for the disposal of lead, asbestos, or other hazardous materials.” (O*NET task statement)
How this row was scored
Exposure score: 42 out of 100 (35–49 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: Arranging hazardous waste disposal is mostly booking licensed carriers and completing tracking paperwork.
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 1/4 · how much data exists 3/4.

Staying human

15 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.

Recording laboratory or field data
This work happens in the physical world: laboratory, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Record laboratory or field data, including numerical data, test results, photographs, or summaries of visual observations.” (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: Writing up numbers, photos and observations is easy for software, but the readings come from being on site.
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.
Preparing and packaging environmental samples for shipping or testing
This work happens in the physical world: environmental samples, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Prepare and package environmental samples for shipping or testing.” (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: Bottling, labeling and packing physical samples for the lab is manual 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.
Collecting and analyzing pollution samples
This work happens in the physical world: pollution samples, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Collect and analyze pollution samples, such as air or ground water.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (2–16 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: Taking air and groundwater samples means going to the site with equipment, even if the analysis is partly automated.
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 3/4.
Decontaminating or testing field equipment used to clean or test pollutants from soil
This work happens in the physical world: field equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Decontaminate or test field equipment used to clean or test pollutants from soil, air, or water.” (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: Cleaning and testing field equipment is hands-on work with the kit.
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 16 tasks

Performing statistical analysis and correction of air or water pollution data submitted by industry or other agencies
shifting to AI
This is reading one thing and writing another: statistical analysis in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Perform statistical analysis and correction of air or water pollution data submitted by industry or other agencies.” (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: Running statistics on submitted pollution data is number work that software does quickly and accurately.
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.
Developing work plans, including writing specifications or establishing material, manpower or facilities needs
shifting to AI
This is reading one thing and writing another: work plans, including writing specifications or establishing material in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Develop work plans, including writing specifications or establishing material, manpower, or facilities needs.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 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: Writing a work plan with specifications and resource needs is document work built from known project details.
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.
Creating models to demonstrate or predict the process by which pollutants move through or impact an environment
shifting to AI
This is reading one thing and writing another: models in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Create models to demonstrate or predict the process by which pollutants move through or impact an environment.” (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: Building a model of how pollutants move is computational work with well documented methods.
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.
Modeling biological, chemical or physical treatment processes to remove or degrade pollutants
shifting to AI
This is reading one thing and writing another: biological, chemical or physical treatment processes in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Model biological, chemical, or physical treatment processes to remove or degrade pollutants.” (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: Treatment process modeling is calculation against published equations, which computers do well.
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.
Obtaining product information, identify vendors or suppliers or ordering materials or equipment to maintain inventory
shifting to AI
This is reading one thing and writing another: product information in, a record out. That is the shape today's tools are built for.
importance 3 · Supplemental
Source: “Obtain product information, identify vendors or suppliers, or order materials or equipment to maintain inventory.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 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: Finding suppliers, pricing parts and placing orders is routine purchasing 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 1/4 · how much data exists 3/4.
Assessing the ability of environments to naturally remove or reducing conventional or emerging contaminants from air
staying human
The ratings behind this row put the ability of environments well outside what today's tools can do on their own.
importance 4 · Supplemental
Source: “Assess the ability of environments to naturally remove or reduce conventional or emerging contaminants from air, water, or soil.” (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: The science is published, though judging whether a specific site will clean itself up needs local measurements.
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.
Evaluating and selecting technologies to clean up polluted sites
staying human
The ratings behind this row put technologies well outside what today's tools can do on their own.
importance 4 · Supplemental
Source: “Evaluate and select technologies to clean up polluted sites, restore polluted air, water, or soil, or rehabilitate degraded ecosystems.” (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: Cleanup technologies are well documented, but picking the right one depends on details of this particular site.
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.
Improving chemical processes to reduce toxic emissions
staying human
The ratings behind this row put chemical processes well outside what today's tools can do on their own.
importance 3 · Supplemental
Source: “Improve chemical processes to reduce toxic emissions.” (O*NET task statement)
How this row was scored
Exposure score: 33 out of 100 (26–40 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Suggestions for cutting emissions can be drafted, but the workable answer depends on this plant's specific setup.
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 2/4.
Maintaining process parameters and evaluating process anomalies
staying human
This work happens in the physical world: process parameters, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain process parameters and evaluate process anomalies.” (O*NET task statement)
How this row was scored
Exposure score: 33 out of 100 (26–40 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: Spotting odd readings in process data suits software, though keeping the process on track often means being at the plant.
The five ratings: output a model can produce 3/4 · 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.
Providing technical engineering support in the planning of projects
staying human
The ratings behind this row put technical engineering support well outside what today's tools can do on their own.
importance 4 · Supplemental
Source: “Provide technical engineering support in the planning of projects, such as wastewater treatment plants, to ensure compliance with environmental regulations and policies.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 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: Regulatory support for plant projects can be largely drafted, though engineers still shape the technical calls.
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 1/4 · how much data exists 3/4.
Working with customers to assess the environmental impact of proposed construction or to develop pollution prevention programs
staying human
The value here is that a specific person handles customers and stands behind it. That is earned, not computed.
importance 4 · Supplemental
Source: “Work with customers to assess the environmental impact of proposed construction or to develop pollution prevention programs.” (O*NET task statement)
How this row was scored
Exposure score: 23 out of 100 (16–30 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: Impact assessment can be drafted, but working through it with a customer depends on a person they trust.
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 2/4 · how much data exists 2/4.
Performing environmental quality work in field or office settings
staying human
This work happens in the physical world: environmental quality work, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform environmental quality work in field or office settings.” (O*NET task statement)
How this row was scored
Exposure score: 22 out of 100 (10–34 allowing for uncertainty): low exposure, low confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: This covers a broad mix of desk work and field work, so roughly half of it needs 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 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Inspecting facilities to monitor compliance with regulations governing substances
staying human
This work happens in the physical world: facilities, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Inspect facilities to monitor compliance with regulations governing substances, such as asbestos, lead, or wastewater.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 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: Judging asbestos or wastewater compliance means walking the facility and looking at the actual conditions.
The five ratings: output a model can produce 2/4 · 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 3/4.
Overseeing support staff
staying human
The value here is that a specific person handles support staff and stands behind it. That is earned, not computed.
importance 3 · Supplemental
Source: “Oversee support staff.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Overseeing staff rests on day-to-day working relationships with the people doing the job.
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 3/4 · how much data exists 2/4.
Receiving, setting up, testing or decontaminate equipment
staying human
This work happens in the physical world: up, testing or decontaminate equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Receive, set up, test, or decontaminate 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: Receiving, setting up and decontaminating equipment is physical handling.
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 in the cleanup of hazardous material spills
staying human
This work happens in the physical world: the cleanup of hazardous material spills, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Assist in the cleanup of hazardous material spills.” (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: Helping clean up a spill means being at the spill in protective gear.
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: $59,920a 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: 12,190in 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: environmental assessment reports, tabulating data and preparing charts in, a record out. The rows above are exactly that shape: producing environmental assessment reports and reviewing technical documents to ensure completeness and conformance to requirements. What it cannot do is be there in the room, and that is still where environmental samples 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. Producing environmental assessment reports, tabulating data and preparing charts, graphs or sketches is going; preparing and packaging environmental samples for shipping or testing is not.

So, given all that: 30% of this job's task weight sits in rows the software is already learning, 9% in rows that change shape rather than disappear, and 61% in rows it is nowhere near. That is the position, measured across 26 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 (preparing and packaging environmental samples for shipping or testing) 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 preparing and packaging environmental samples for shipping or testing, 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 environmental 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 environmental science and protection technicians, including health: only about 6% of its durable work is work you already do. And on the numbers you do not need one. This job scores 35/100 here, with only 30% of the task list in the top band, and “maintain project logbook records or computer program files” 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.

Environmental Science and Protection Technicians, Including Health
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already collect and analyze pollution samples, and their equivalent is to collect samples of gases, soils, water, industrial wastewater, or asbestos products to conduct…. Across both published task lists that is about 6% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 6% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Hydrologic Technicians
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already collect and analyze pollution samples, and their equivalent is to collect water and soil samples to test for physical, chemical, or biological properties. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 2,840 of those jobs against 12,190 of yours (OEWS May 2025), 23% as many seats.
Look at that job’s page anyway →
Civil Engineers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already provide technical engineering support in the planning of projects, and their equivalent is to direct engineering activities, ensuring compliance with environmental, safety, or other governmental regulations. 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 →

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 26 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:
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Anywhere in the US:
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No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for environmental 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 environmental 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 environmental 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 environmental 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 environmental 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 environmental 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 Environmental Engineering Technologists and Technicians?: Not as a job, but it is already doing parts of the work. Across the 26 official task statements scored for Environmental Engineering Technologists and Technicians (United States, SOC 17-3025), 30% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 35 out of 100 (range 30–41, 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 “Environmental Engineering Technologists and Technicians” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Review work plans to schedule activities” (75/100, high); “Review technical documents to ensure completeness and conformance to requirements” (66/100, high); “Produce environmental assessment reports, tabulating data and preparing charts, graphs, or sketches” (66/100, 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 “Environmental Engineering Technologists and Technicians” stay human?: About 61% 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: “Prepare and package environmental samples for shipping or testing” (0/100, minimal); “Decontaminate or test field equipment used to clean or test pollutants from soil, air, or water” (0/100, minimal); “Assist in the cleanup of hazardous material spills” (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 “Environmental 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 61% 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 Environmental 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 26 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

One row is marked low confidence, so treat it as a ballpark rather than a fine measurement.
The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
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)
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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Using these figures?

Cite this

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.