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Helpers--Production Workers

counting finished products to determine if product orders are complete, mixing ingredients according to specified procedures or formulas and observing equipment operations so that malfunctions. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: operating machinery used in the production process is work software can't reach.

Your move: what you can actually do about this ↓

What shifts is the routine end of the work: the paper around the work, not the work.

Your week, as this page understands it

Help production workers by performing duties requiring less skill. Duties include supplying or holding materials or tools, and cleaning work area and equipment. The job title says “helpers--production workers”. The real job is the part underneath: operating machinery used in the production process. 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 helpers--production workers is not one task. It is 30 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is operating machinery used in the production process, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI
0%
changing shape
0%
staying human
100%

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

Whole-job exposure score 2 out of 100 (2–6 allowing for uncertainty): minimal exposure, across 30 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 helpers--production workers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

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

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

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.

Shifting to AI

0 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.

Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.

Changing shape

0 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.

Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.

Staying human

30 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.

  • Operating machinery used in the production process

    This work happens in the physical world: machinery, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Operate machinery used in the production process, or assist machine operators.” (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 production machinery or helping the operator means being at the machine.

    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 1/4.

  • Examining products to verify conformance to quality standards

    This work happens in the physical world: products, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Examine products to verify conformance to quality standards.” (O*NET task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Checking products against quality standards means picking them up and looking at them.

    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.

  • Placing products in equipment or on work surfaces for further processing

    This work happens in the physical world: products, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Place products in equipment or on work surfaces for further processing, inspecting, or wrapping.” (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: Placing products onto equipment or work surfaces is manual handling on the line.

    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 1/4.

  • Observing equipment operations so that malfunctions

    This work happens in the physical world: equipment operations, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Observe equipment operations so that malfunctions can be detected, and notify operators of any malfunctions.” (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: Watching equipment for faults and telling the operator means standing on the line while it runs.

    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.

  • Lifting raw materials, finished products and packed items, manually or using hoists

    This work happens in the physical world: raw materials, finished products and packed items, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Lift raw materials, finished products, and packed items, manually or using hoists.” (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: Lifting raw materials and packed goods, by hand or hoist, is physical labour.

    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 1/4.

  • Removing products, machine attachments or waste material from machines

    This work happens in the physical world: products, machine attachments or waste material, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Remove products, machine attachments, or waste material from machines.” (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: Pulling products, attachments or waste out of machines 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 1/4.

  • Loading and unloading items from machines

    This work happens in the physical world: items, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Load and unload items from machines, conveyors, and conveyances.” (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: Loading and unloading machines and conveyances is lifting and moving things 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 1/4.

  • Transferring finished products, raw materials, tools or equipment between storage and work areas of plants and warehouses

    This work happens in the physical world: finished products, raw materials, tools or equipment, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Transfer finished products, raw materials, tools, or equipment between storage and work areas of plants and warehouses, by hand or using hand trucks or powered lift trucks.” (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: Moving goods and tools between storage and the line, by hand or truck, is physical transport.

    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 1/4.

  • Packing and storing materials and products

    This work happens in the physical world: materials, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Pack and store materials and products.” (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: Packing products and putting them away is manual handling from start to finish.

    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 1/4.

  • Starting machines or equipment to begin production processes

    This work happens in the physical world: machines, in a real place. Software cannot follow it there.

    importance 4 · Core
    Source: “Start machines or equipment to begin 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: Starting up production equipment is a physical action at the machine.

    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 1/4.

Show the other 20 tasks

  • Recording information, such as the number of products tested, meter readings or dates and times of product production

    staying human

    This work happens in the physical world: information, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Record information, such as the number of products tested, meter readings, or dates and times of product production.” (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: Logging counts, meter readings and production times is record-keeping that software handles, though readings come off the floor.

    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.

  • Reading gauges or charts and recording data

    staying human

    This work happens in the physical world: gauges, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Read gauges or charts, and record data obtained.” (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: Reading gauges and charts then writing the numbers down is record work software does, but the gauges are on the machine.

    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.

  • Counting finished products to determine if product orders are complete

    staying human

    This work happens in the physical world: finished products, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Count finished products to determine if product orders are complete.” (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: Counting the finished items to check an order is complete means handling the physical goods.

    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.

  • Marking or tagging identification on parts

    staying human

    This work happens in the physical world: identification, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Mark or tag identification on parts.” (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: Marking or tagging identification onto parts means putting a label on a physical item.

    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.

  • Helping production workers by performing duties of lesser skill

    staying human

    This work happens in the physical world: production workers, in a real place. Software cannot follow it there.

    importance 3 · Core
    Source: “Help production workers by performing duties of lesser skill, such as supplying or holding materials or tools, or cleaning work areas and 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: Holding materials, fetching tools and cleaning for other workers is entirely hands-on help.

    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 1/4.

  • Cleaning and lubricating equipment

    staying human

    This work happens in the physical world: equipment, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Clean and lubricate 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: Cleaning and greasing equipment is hands-on maintenance.

    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 1/4.

  • Separating products

    staying human

    This work happens in the physical world: products, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Separate products according to weight, grade, size, or composition of materials used to produce them.” (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: Sorting products by weight, size or grade is physical handling on the line.

    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.

  • Turning valves to regulate flow of liquids or air

    staying human

    This work happens in the physical world: valves, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Turn valves to regulate flow of liquids or air, to reverse machines, to start pumps, or to regulate 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: Turning valves to control flow or restart pumps is a physical action at the equipment.

    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 1/4.

  • Tying products in bundles for further processing or shipment

    staying human

    This work happens in the physical world: products, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Tie products in bundles for further processing or shipment, following prescribed 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: work that happens in the physical world.

    The rating behind it: Tying products into bundles is manual work with the goods in front of you.

    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 1/4.

  • Signaling coworkers to direct them to move products during the production process

    staying human

    This work happens in the physical world: coworkers, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Signal coworkers to direct them to move products during the production process.” (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: Signalling coworkers to move products happens face to face on the production floor.

    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 1/4.

  • Preparing raw materials for processing

    staying human

    This work happens in the physical world: raw materials, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Prepare raw materials for processing.” (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: Getting raw materials ready for processing means handling the material itself.

    The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.

  • Measuring amounts of products

    staying human

    This work happens in the physical world: amounts of products, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Measure amounts of products, lengths of extruded articles, or weights of filled containers to ensure conformance to specifications.” (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: Measuring lengths and weighing containers means putting real items on scales and against rules.

    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.

  • Mixing ingredients according to specified procedures or formulas

    staying human

    This work happens in the physical world: ingredients, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Mix ingredients according to specified procedures or formulas.” (O*NET task statement)
    How this row was scored

    Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.

    Why it sits in this group: work that happens in the physical world.

    The rating behind it: Mixing ingredients to a formula is hands-on work with real materials, even when the recipe is written down.

    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.

  • Positioning spouts or chutes of storage bins so that containers

    staying human

    This work happens in the physical world: spouts, in a real place. Software cannot follow it there.

    importance 3 · Supplemental
    Source: “Position spouts or chutes of storage bins so that containers can be filled.” (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: Moving spouts and chutes so containers fill correctly is a physical adjustment.

    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 1/4.

  • Washing work areas, machines, equipment, vehicles or products

    staying human

    This work happens in the physical world: work areas, machines, equipment, vehicles or products, in a real place. Software cannot follow it there.

    importance 3 · Supplemental
    Source: “Wash work areas, machines, equipment, vehicles, or products.” (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: Washing machines, vehicles and work areas is manual cleaning.

    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 1/4.

  • Unclamping and hoisting full reels from braiding

    staying human

    This work happens in the physical world: full reels, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Unclamp and hoist full reels from braiding, winding, or other fabricating machines, using power hoists.” (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: Unclamping and hoisting heavy reels off a machine is physical lifting 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 1/4.

  • Breaking up defective products for reprocessing

    staying human

    This work happens in the physical world: defective products, in a real place. Software cannot follow it there.

    importance 3 · Supplemental
    Source: “Break up defective products for reprocessing.” (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: Breaking up defective product for reprocessing is physical work with the 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 1/4.

  • Cutting or breaking flashing from materials or products

    staying human

    This work happens in the physical world: materials, in a real place. Software cannot follow it there.

    importance 3 · Supplemental
    Source: “Cut or break flashing from materials or products.” (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: Cutting flashing to size is done by hand with tools.

    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 1/4.

  • Performing minor repairs

    staying human

    This work happens in the physical world: minor repairs, in a real place. Software cannot follow it there.

    importance 4 · Supplemental
    Source: “Perform minor repairs to machines, such as replacing damaged or worn parts.” (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: Replacing a worn or damaged machine part is a physical repair.

    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.

  • Attaching slings, ropes or cables to objects, pipes, hoses or bundles

    staying human

    This work happens in the physical world: slings, ropes or cables, in a real place. Software cannot follow it there.

    importance 3 · Supplemental
    Source: “Attach slings, ropes, or cables to objects such as pipes, hoses, or bundles.” (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: Attaching slings and cables to loads is rigging work done with 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 1/4.

What this job pays, and how many people do it

Median pay
$39,070a 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
165,700in 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. Almost none of this job is reading one thing and writing another (the shape today's tools are built for), because the work turns on machinery, which happens with people and things rather than on a screen. The rows above are the evidence rather than the reassurance: operating machinery used in the production process and examining products to verify conformance to quality standards. The parts that are changing are the paperwork and the tools around the job, not the middle of it, 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: operating machinery used in the production process is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 0% of this job's task weight sits in rows the software is already learning, 0% in rows that change shape rather than disappear, and 100% in rows it is nowhere near. That is the position, measured across 30 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. The routine end of the work 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 the routine work, 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 machinery is 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 operating machinery used in the production process. 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 helpers--production workers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was crushing, grinding, and polishing machine setters, operators, and tenders: only about 10% of its durable work is work you already do and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 2/100 here, with only 0% of the task list in the top band, and “operate machinery used in the production process, or assist machine operators” 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.

  • Crushing, Grinding, and Polishing 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 observe equipment operations, and their equivalent is to observe operation of equipment to ensure continuity of flow, safety, and efficient operation…. Across both published task lists that is about 10% of the durable work in that job.

    Why I am not recommending it: You would be starting most of it from nothing: about 10% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. And it is a narrow door: about 26,000 of those jobs against 165,700 of yours (OEWS May 2025), 16% as many seats.

    Look at that job’s page anyway →

  • 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 examine products to verify conformance to quality standards, and their equivalent is to examine materials, ingredients, or products visually or with hands to ensure conformance to…. Across both published task lists that is about 10% of the durable work in that job.

    Why I am not recommending it: You would be starting most of it from nothing: about 10% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on.

    Look at that job’s page anyway →

  • Packers and Packagers, Hand

    Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already pack and store materials and products, and their equivalent is to examine and inspect containers, materials, or products to ensure that product quality and…. 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 →

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: 0% of its task weight, across 30 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 operating machinery used in the production process 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 Elementary process plant occupations n.e.c. 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:

In UK official statistics this job is counted as Elementary process plant occupations n.e.c. and Industrial cleaning process occupations. 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.

Why there is no community here

Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.

So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.

Noted, and thank you. We’ll email you if a Space for helpers--production workers 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 helpers--production workers 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 helpers--production workers existed, with researched problems, courses and people in the same boat, would you want in?

We use your email address for one thing: to tell you if a Space for helpers--production workers 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 Helpers--Production Workers?
Not as a job, but it is already doing parts of the work. Across the 30 official task statements scored for Helpers--Production Workers (United States, SOC 51-9198), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 2 out of 100 (range 2–6, 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 “Helpers--Production Workers” can AI already do?
The highest-scoring tasks in release 2026-q4.1 are: “Record information, such as the number of products tested, meter readings, or dates and times of product production” (38/100, low); “Read gauges or charts, and record data obtained” (38/100, low); “Operate machinery used in the production process, or assist machine operators” (0/100, minimal). 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 “Helpers--Production Workers” stay human?
About 100% 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: “Attach slings, ropes, or cables to objects such as pipes, hoses, or bundles” (0/100, minimal); “Perform minor repairs to machines, such as replacing damaged or worn parts” (0/100, minimal); “Cut or break flashing from materials or products” (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 “Helpers--Production Workers” do about AI?
Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 100% 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 Helpers--Production Workers 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 30 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

  • The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
  • 4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
  • Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
Task statements
onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights
onet-db (im-rt)
Scores
Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
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 . 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.