US dataswitch to UK
Plant and System Operators, All Other
monitoring batch, continuous flow or hybrid biofuels production processes, operating chemical processing equipment for the production of biofuels and monitoring and recording flow meter performance. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: collecting biofuels samples and performing routine laboratory tests or analyses to assess biofuels quality is work software can't reach.
What shifts is monitoring and recording biofuels processing data. This page scores what today's tools actually do, not headlines.
Your week, as this page understands it
All plant and system operators not listed separately. The job title says “plant”, “system operators” or “all other”: officially one job, several names. The real job is the part underneath: collecting biofuels samples and performing routine laboratory tests or analyses to assess biofuels quality. 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 plant and system operators, all other is not one task. It is 19 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is collecting biofuels samples and performing routine laboratory tests or analyses to assess biofuels quality, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 6%
- changing shape
- 3%
- staying human
- 90%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 18 out of 100 (13–24 allowing for uncertainty): minimal exposure, across 19 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 plant and system operators, all other 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.
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
1 taskTasks 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.
Monitoring and recording biofuels processing data
This is reading one thing and writing another: biofuels processing data in, a record out. That is the shape today's tools are built for.
importance 5 · CoreSource: “Monitor and record biofuels processing data.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (62–76 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: Reading and logging process data is exactly what plant control systems already record automatically.
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.
Changing shape
1 taskTasks 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.
Coordinating raw product sourcing or collection
The software now makes the first pass at raw product, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · SupplementalSource: “Coordinate raw product sourcing or collection.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 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 where feedstock comes from and when it arrives is planning and scheduling work software does well.
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 1/4 · how much data exists 3/4.
Staying human
17 tasksTasks 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.
Operating valves, pumps, engines or generators to control and adjust biofuels production
This work happens in the physical world: valves, pumps, engines or generators, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Operate valves, pumps, engines, or generators to control and adjust biofuels production.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 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: Opening and adjusting valves, pumps and generators is physical work in the plant.
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.
Collecting biofuels samples and performing routine laboratory tests or analyses to assess biofuels quality
This work happens in the physical world: biofuels samples, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Collect biofuels samples and perform routine laboratory tests or analyses to assess biofuels quality.” (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: Taking samples and running lab tests means handling real fuel at the plant.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring batch, continuous flow or hybrid biofuels production processes
This work happens in the physical world: batch, continuous flow or hybrid biofuels production processes, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Monitor batch, continuous flow, or hybrid biofuels production processes.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (22–36 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: Process data can be watched and flagged automatically, but operators still walk the plant and act on what they see.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Inspecting biofuels plant or processing equipment regularly
This work happens in the physical world: biofuels plant, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Inspect biofuels plant or processing equipment regularly, recording or reporting damage and mechanical problems.” (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: Spotting damage and mechanical trouble means walking the plant and looking at the equipment.
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.
Operating chemical processing equipment for the production of biofuels
This work happens in the physical world: chemical processing equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Operate chemical processing equipment for the production of biofuels.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 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: Running chemical processing equipment means being in the plant working the kit.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Monitoring and recording flow meter performance
This work happens in the physical world: flow meter performance, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Monitor and record flow meter performance.” (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: Flow meter data is easy to track automatically, though the meters themselves get checked in the field.
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.
Monitoring stored biofuels products or secondary by-products until reused or transferred to users
This work happens in the physical world: stored biofuels products, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Monitor stored biofuels products or secondary by-products until reused or transferred to users.” (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: Tracking stored product and by-products is inventory record keeping, with tanks still checked 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.
Cleaning biofuels processing work area
This work happens in the physical world: biofuels processing work area, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Clean biofuels processing work area, ensuring compliance with safety regulations.” (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 the work area is physical 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 9 tasks
Assessing the quality of biofuels additives for reprocessing
staying humanThis work happens in the physical world: the quality of biofuels additives, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Assess the quality of biofuels additives for reprocessing.” (O*NET task statement)
How this row was scored
Exposure score: 29 out of 100 (17–41 allowing for uncertainty): low exposure, low 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 additive quality mixes lab data, which software reads well, with hands-on checks.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Calculating, measuring, loading or mixing refined feedstock used in biofuels production
staying humanThis work happens in the physical world: refined feedstock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Calculate, measure, load, or mix refined feedstock used in biofuels production.” (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: The calculation is easy, but loading and mixing feedstock is physical work.
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.
Measuring and monitoring raw biofuels feedstock
staying humanThis work happens in the physical world: raw biofuels feedstock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Measure and monitor raw biofuels feedstock.” (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: Measuring incoming feedstock involves handling and sampling real material.
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.
Processing refined feedstock with additives in fermentation or reaction process vessels
staying humanThis work happens in the physical world: refined feedstock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Process refined feedstock with additives in fermentation or reaction process vessels.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 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: Dosing additives into reaction vessels is physical work with real materials.
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.
Operating equipment, such as a centrifuge, to extract biofuels products and secondary by-products or reusable fractions
staying humanThis work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 5 · CoreSource: “Operate equipment, such as a centrifuge, to extract biofuels products and secondary by-products or reusable fractions.” (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 a centrifuge to extract product is hands-on equipment 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.
Calibrating liquid flow devices and meters
staying humanThis work happens in the physical world: liquid flow devices, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Calibrate liquid flow devices and meters, including fuel, chemical, and water meters.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Calibrating meters means physically adjusting instruments in the plant.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preprocessing feedstock in preparation
staying humanThis work happens in the physical world: feedstock, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Preprocess feedstock in preparation for physical, chemical, or biological fuel production processes.” (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: Preparing feedstock for processing is physical work with bulk material.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing routine maintenance
staying humanThis work happens in the physical world: routine maintenance, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Perform routine maintenance on mechanical, electrical, or electronic equipment or instruments used in the processing of biofuels.” (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: Routine maintenance on plant equipment is hands-on 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.
Rebuilding, repairing or replacing biofuels processing equipment components
staying humanThis work happens in the physical world: biofuels processing equipment components, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Rebuild, repair, or replace biofuels processing equipment components.” (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: Rebuilding and replacing equipment parts is physical repair 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
- $62,470a 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
- 14,080in 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: biofuels processing data in, a record out. The rows above are exactly that shape: monitoring and recording biofuels processing data and coordinating raw product sourcing or collection. What it cannot do is be there in the room, and that is still where biofuels 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
Start with what does not change: collecting biofuels samples and performing routine laboratory tests or analyses to assess biofuels quality is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 6% of this job's task weight sits in rows the software is already learning, 3% in rows that change shape rather than disappear, and 90% in rows it is nowhere near. That is the position, measured across 19 scored tasks. It is not a forecast about you.
So the thing worth your attention is not the job going away. It is the layer around it. Monitoring and recording biofuels processing data is the part turning into software, and being the person who understands that layer is worth money.
This week: one thing
Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to biofuels processing data, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.
- What you end up holding
- a straight answer about what is actually being rolled out, and when
- How long it takes
- ten minutes
If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether biofuels samples are in scope or not. Nothing to log into, no license needed.
Over the next 90 days
Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near coordinating raw product sourcing or collection. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.
Over the next 12 months
On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. 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 plant and system operators, all other (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was power plant operators: only about 11% of its durable work is work you already do. And on the numbers you do not need one. This job scores 18/100 here, with only 6% of the task list in the top band, and “operate valves, pumps, engines, or generators to control and adjust biofuels production” 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.
Power Plant Operators
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already operate valves, pumps, engines, or generators to control and adjust biofuels production, and their equivalent is to operate valves, pumps, engines, or generators to control and adjust production of biofuels…. Across both published task lists that is about 11% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 11% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.
Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already clean biofuels processing work area, ensuring compliance with safety regulations, and their equivalent is to operate machines to process materials in compliance with applicable safety, energy, or environmental…. Across both published task lists that is about 8% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 8% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $51,610 against your $62,470, 17.4% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Mixing and Blending Machine Setters, Operators, and Tenders
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already clean biofuels processing work area, ensuring compliance with safety regulations, and their equivalent is to clean work areas. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $48,990 against your $62,470, 21.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
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: 6% of its task weight, across 19 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like collecting biofuels samples and performing routine laboratory tests or analyses to assess biofuels quality arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
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 Water and sewerage plant operatives 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 Water and sewerage plant operatives. 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:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
No Space for this job, but one for what is happening to it
Nothing Collab365 runs is built for plant / system operators / all other, 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 6% of the work on this page is already inside what they can do.

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 plant / system operators / all other. 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 plant / system operators / all other launches. Nothing else.
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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 Plant and System Operators, All Other?
- Not as a job, but it is already doing parts of the work. Across the 19 official task statements scored for Plant and System Operators, All Other (United States, SOC 51-8099), 6% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 18 out of 100 (range 13–24, band: minimal). 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 “Plant and System Operators, All Other” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Monitor and record biofuels processing data” (69/100, high); “Coordinate raw product sourcing or collection” (48/100, partial); “Monitor and record flow meter performance” (38/100, low). 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 “Plant and System Operators, All Other” stay human?
- About 90% 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: “Rebuild, repair, or replace biofuels processing equipment components” (0/100, minimal); “Perform routine maintenance on mechanical, electrical, or electronic equipment or instruments used in the processing of biofuels” (0/100, minimal); “Clean biofuels processing work area, ensuring compliance with safety regulations” (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 “Plant and System Operators, All Other” do about AI?
- Start from the ledger rather than the headline: 6% of this job's weighted core work is exposed, and roughly 90% 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 Plant and System Operators, All Other 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 19 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.
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}
}Data as of release 2026-q4.1, published . 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.
