Will AI replace Jewelers and Precious Stone and Metal Workers?

Not as a job, but it is already doing parts of the work. Across the 44 official task statements scored for Jewelers and Precious Stone and Metal Workers (United States, SOC 51-9071), 14% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 17 out of 100 (range 14–22, 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 “Jewelers and Precious Stone and Metal Workers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Compute costs of labor and materials to determine production costs of products and articles” (93/100, very high); “Write or modify design specifications such as the metal contents and weights of items” (75/100, high); “Record the weights and processing times of finished pieces” (69/100, 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 “Jewelers and Precious Stone and Metal Workers” stay human?

About 81% 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: “Rout out locations where parts are to be joined to items, using routing machines” (0/100, minimal); “Rotate molds to distribute alloys and to prevent formation of air pockets” (0/100, minimal); “Weigh, mix, and melt metal alloys or materials needed for jewelry models” (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 “Jewelers and Precious Stone and Metal Workers” do about AI?

Start from the ledger rather than the headline: 14% of this job's weighted core work is exposed, and roughly 81% 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 Jewelers and Precious Stone and Metal 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 44 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Jewelers and Precious Stone and Metal Workers

examining gems during processing to ensure accuracy of angles and positions of cuts or bores, examining gem surfaces and internal structures and positioning stones and metal pieces. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: cleaning and polishing metal items and jewelry pieces is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 14%
changing shape: 5%
staying human: 81%

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

Whole-job exposure score 17 out of 100 (14–22 allowing for uncertainty): minimal exposure, across 44 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 jewelers and precious stone and metal 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 2026-08-05. Read the full method.

What shifts is computing costs of labor and materials to determine production costs of products and articles: the overhead at the edges, not the middle you trained for.

Your week, as this page understands it

Design, fabricate, adjust, repair, or appraise jewelry, gold, silver, other precious metals, or gems. The job title says “jewelers”, “precious stone” or “metal workers”: officially one job, several names. The real job is the part underneath: cleaning and polishing metal items and jewelry pieces. 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 jewelers and precious stone and metal workers is not one task. It is 44 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is cleaning and polishing metal items and jewelry pieces, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 14%
changing shape: 5%
staying human: 81%

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.

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

Shifting to AI

5 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.

Estimating wholesale and retail value of gems
This is reading one thing and writing another: wholesale in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Estimate wholesale and retail value of gems, following pricing guides, market fluctuations, and other relevant economic factors.” (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: Once the grades are known, valuing a stone against price guides and market data is a calculation.
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.
Recording the weights and processing times of finished pieces
This is reading one thing and writing another: the weights in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Record the weights and processing times of finished pieces.” (O*NET task statement)
How this row was scored
Exposure score: 69 out of 100 (65–73 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Recording weights and times is structured data capture software does accurately.
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.
Computing costs of labor and materials to determine production costs of products and articles
This is reading one thing and writing another: costs of labor in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Compute costs of labor and materials to determine production costs of products and articles.” (O*NET task statement)
How this row was scored
Exposure score: 93 out of 100 (89–97 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Working out material and labor costs is arithmetic from known weights and rates, which software does better.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Writing or modifying design specifications
This is reading one thing and writing another: design specifications in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Write or modify design specifications such as the metal contents and weights of items.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing down metal contents and weights is straightforward specification drafting.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Changing shape

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.

Creating new jewelry designs and modifying existing designs
The software now makes the first pass at new jewelry designs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Create new jewelry designs and modify existing designs, using computers as necessary.” (O*NET task statement)
How this row was scored
Exposure score: 58 out of 100 (51–65 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Design software and image tools generate options quickly, but a jeweler picks what will actually work.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining appraised values of diamonds and other gemstones based on price guides
The software now makes the first pass at appraised values of diamonds, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Determine appraised values of diamonds and other gemstones based on price guides, market fluctuations, and stone grades and rarity.” (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; someone qualified has to answer for it.
The rating behind it: Values follow published price guides and grades, but appraisals carry a qualified appraiser's name.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Staying human

37 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.

Examining assembled or finished products to ensure conformance
This work happens in the physical world: assembled, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Examine assembled or finished products to ensure conformance to specifications, using magnifying glasses or precision measuring instruments.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking a finished piece against the specification means holding it under a loupe or gauge.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Cleaning and polishing metal items and jewelry pieces
This work happens in the physical world: metal items, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Clean and polish metal items and jewelry pieces, using jewelers' tools, polishing wheels, and chemical baths.” (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: Polishing metal on a wheel or in a chemical bath is hands-on bench 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.
Creating jewelry from materials, gold, silver, platinum and precious or semiprecious stones
This work happens in the physical world: jewelry, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Create jewelry from materials such as gold, silver, platinum, and precious or semiprecious stones.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Making a piece of jewelry from metal and stones is craft work done by hand.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Examining gems during processing to ensure accuracy of angles and positions of cuts or bores
This work happens in the physical world: gems, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Examine gems during processing to ensure accuracy of angles and positions of cuts or bores, using magnifying glasses, loupes, or shadowgraphs.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking cut angles means putting the gem under a loupe or shadowgraph yourself.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Show the other 34 tasks

Researching and analyzing reference materials
shifting to AI
This is reading one thing and writing another: reference materials in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Research and analyze reference materials, and consult with interested parties to develop new products or modify existing designs.” (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: Gathering and analysing reference material is exactly the kind of research software does quickly.
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.
Advising customers and others on the best use of gems to create attractive jewelry items
staying human
The value here is that a specific person handles customers and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Advise customers and others on the best use of gems to create attractive jewelry items.” (O*NET task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Advice on what suits a gem is well documented, though customers want a person to talk it through.
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 2/4 · how much data exists 3/4.
Selecting and acquiring metals and gems for designs
staying human
This work happens in the physical world: metals, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Select and acquire metals and gems for designs.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Sourcing can be researched at a screen, though buyers usually want to see the metal and stones.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Identifying and documenting stones' clarity characteristics
staying human
This work happens in the physical world: stones' clarity characteristics, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Identify and document stones' clarity characteristics, using plot diagrams.” (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: Plotting clarity features follows a documented method, but the stone must be under the microscope.
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.
Examining diamonds or gems to ascertain the shape
staying human
This work happens in the physical world: diamonds, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Examine diamonds or gems to ascertain the shape, cut, and width of cut stones, or to select the cuts that will result in the biggest, best quality stones.” (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: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Deciding how to cut a rough stone means examining the actual crystal.
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 2/4.
Assigning polish, symmetry and clarity grades to stones, according to established grading systems
staying human
This work happens in the physical world: polish, symmetry and clarity grades, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Assign polish, symmetry, and clarity grades to stones, according to established grading systems.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 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; someone qualified has to answer for it.
The rating behind it: Grading systems are published, but assigning grades needs the stone in front of a qualified grader.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Grading stones based on their color
staying human
This work happens in the physical world: stones, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Grade stones based on their color, perfection, and quality of cut.” (O*NET task statement)
How this row was scored
Exposure score: 11 out of 100 (4–18 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; someone qualified has to answer for it.
The rating behind it: Grading rules are well published, but the stone has to be under the eye of a grader.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Measuring sizes of stones' bore holes and cuts to ensure adherence
staying human
This work happens in the physical world: sizes of stones' bore holes, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Measure sizes of stones' bore holes and cuts to ensure adherence to specifications, using precision measuring instruments.” (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: Gauging bore holes and cuts means putting instruments on the stone by hand.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Buying and selling jewelry or serving as agents between buyers and sellers
staying human
This work happens in the physical world: jewelry, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Buy and sell jewelry, or serve as agents between buyers and sellers.” (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: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Buying and selling jewelry rests on trust between people and on seeing the goods.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Examining gem surfaces and internal structures
staying human
This work happens in the physical world: gem surfaces, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Examine gem surfaces and internal structures, using polariscopes, refractometers, microscopes, and other optical instruments, to differentiate between stones, to identify rare specimens, or to detect flaws, defects, or peculiarities affecting gem values.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (4–12 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Identifying stones and flaws requires the gem under optical instruments in a lab.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Designing and fabricating molds, models and machine accessories and modifying hand tools used to cast metal and jewelry pieces
staying human
This work happens in the physical world: molds, models and machine accessories and modifying hand, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Design and fabricate molds, models, and machine accessories, and modify hand tools used to cast metal and jewelry pieces.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Molds and tooling can be designed on screen, but making and modifying them is workshop work.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Immersing stones in prescribed chemical solutions to determine specific gravities and key properties of gemstones or substitutes
staying human
This work happens in the physical world: stones, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Immerse stones in prescribed chemical solutions to determine specific gravities and key properties of gemstones or substitutes.” (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: Immersing stones in chemical solutions is laboratory handwork.
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.
Holding stones, gems, dies or styluses against rotating plates, wheels, saws or slitters to cut, shape, slit, grind or polish them
staying human
This work happens in the physical world: stones, gems, dies or styluses against rotating plates, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Hold stones, gems, dies, or styluses against rotating plates, wheels, saws, or slitters to cut, shape, slit, grind, or polish 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: Holding stones against grinding and polishing wheels 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 1/4.
Sorting rough diamonds into categories based on shape
staying human
This work happens in the physical world: rough diamonds, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Sort rough diamonds into categories based on shape, size, color, and 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: work that happens in the physical world.
The rating behind it: Sorting rough diamonds is done by hand and eye at a bench.
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.
Securing gems or diamonds in holders
staying human
This work happens in the physical world: gems, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Secure gems or diamonds in holders, chucks, dops, lapidary sticks, or blocks for cutting, polishing, grinding, drilling, or shaping.” (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: Fixing gems into holders ready for cutting is careful handwork.
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.
Selecting shaping wheels
staying human
This work happens in the physical world: wheels, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Select shaping wheels for tasks, and mix and apply abrasives, bort, or polishing compounds.” (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: Choosing and mixing abrasives happens at the machine with the materials in hand.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Dismantling lapping, boring, cutting, polishing and shaping equipment and machinery to clean and lubricate it
staying human
This work happens in the physical world: equipment, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Dismantle lapping, boring, cutting, polishing, and shaping equipment and machinery to clean and lubricate it.” (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: Stripping down machinery to clean and lubricate it is manual 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 2/4.
Positioning stones and metal pieces
staying human
This work happens in the physical world: stones, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Setting and securing stones is precise handwork with setting 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 2/4.
Smoothing soldered joints and rough spots
staying human
This work happens in the physical world: soldered joints, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Smooth soldered joints and rough spots, using hand files and emery paper, and polish smoothed areas with polishing wheels or buffing wire.” (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: Filing and buffing joints smooth is manual work at the bench.
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.
Making repairs, such as enlarging or reducing ring sizes
staying human
This work happens in the physical world: repairs, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Make repairs, such as enlarging or reducing ring sizes, soldering pieces of jewelry together, and replacing broken clasps and mountings.” (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: Resizing rings and soldering repairs is physical work on the piece itself.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Cutting and filing pieces of jewelry
staying human
This work happens in the physical world: pieces of jewelry, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Cut and file pieces of jewelry such as rings, brooches, bracelets, and lockets.” (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 and filing rings and bracelets is bench work with hand 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 2/4.
Piercing and cutting open designs in ornamentation
staying human
This work happens in the physical world: open designs, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Pierce and cut open designs in ornamentation, using hand drills and scroll saws.” (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: Piercing and sawing ornament is hand skill.
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.
Constructing preliminary models of wax
staying human
This work happens in the physical world: preliminary models of wax, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Construct preliminary models of wax, metal, clay, or plaster, and form sample castings in molds.” (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: Carving wax models and casting samples is craft work with real materials.
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.
Pouring molten metal alloys or other materials into molds to cast models of jewelry
staying human
This work happens in the physical world: molten metal alloys, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Pour molten metal alloys or other materials into molds to cast models of jewelry.” (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: Pouring molten metal into molds is physical work at the furnace.
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.
Shaping and straightening damaged or twisted articles by hand or using pliers
staying human
This work happens in the physical world: damaged, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Shape and straighten damaged or twisted articles by hand or using pliers.” (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: Straightening a bent piece with pliers 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.
Softening metal to be used in designs by heating it with a gas torch and shaping it
staying human
This work happens in the physical world: metal, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Soften metal to be used in designs by heating it with a gas torch and shape it, using hammers and dies.” (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: Heating and hammering metal into shape is physical work at the bench.
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.
Plating articles, jewelry pieces and watch dials, using silver, gold, nickel or other metals
staying human
This work happens in the physical world: articles, jewelry pieces and watch dials, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Plate articles such as jewelry pieces and watch dials, using silver, gold, nickel, or other metals.” (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: Plating pieces involves handling items and chemicals at the bench.
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.
Laying out designs on metal stock
staying human
This work happens in the physical world: designs, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Lay out designs on metal stock, and cut along markings to fabricate pieces used to cast metal molds.” (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 out and cutting metal stock is bench 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.
Marking engrave or emboss designs on metal pieces, castings, wire or jewelry, following specifications
staying human
This work happens in the physical world: engrave, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Mark, engrave, or emboss designs on metal pieces such as castings, wire, or jewelry, following 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: Engraving and stamping designs is done by hand on the metal.
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.
Cutting designs in molds or other materials to be used as models in the fabrication of metal and jewelry products
staying human
This work happens in the physical world: designs, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Cut designs in molds or other materials to be used as models in the fabrication of metal and jewelry 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 model designs into molds is handwork 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 2/4.
Annealing precious metal objects, coffeepots, tea sets and trays in gas ovens for prescribed times to soften metal
staying human
This work happens in the physical world: precious metal objects, coffeepots, tea sets and trays, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Anneal precious metal objects such as coffeepots, tea sets, and trays in gas ovens for prescribed times to soften metal for reworking.” (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: Annealing objects in a gas oven means loading and timing real items.
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.
Weighing, mixing and melt metal alloys or materials needed for jewelry models
staying human
This work happens in the physical world: melt metal alloys, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Weigh, mix, and melt metal alloys or materials needed for jewelry models.” (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: Weighing, mixing and melting alloys happens at the furnace.
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.
Rotating molds to distribute alloys and to prevent formation of air pockets
staying human
This work happens in the physical world: molds, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Rotate molds to distribute alloys and to prevent formation of air pockets.” (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: Rotating molds while metal sets is physical work at the casting bench.
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.
Routing out locations where parts
staying human
This work happens in the physical world: locations, in a real place. Software cannot follow it there.
importance 3 · Supplemental
Source: “Rout out locations where parts are to be joined to items, using routing 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: Routing joint locations is machine work done by hand.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $52,540a 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: 22,440in 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: costs of labor in, a record out. The rows above are exactly that shape: computing costs of labor and materials to determine production costs of products and articles and estimating wholesale and retail value of gems. What it cannot do is be there in the room, and that is still where metal items 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: cleaning and polishing metal items and jewelry pieces is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 14% of this job's task weight sits in rows the software is already learning, 5% in rows that change shape rather than disappear, and 81% in rows it is nowhere near. That is the position, measured across 44 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. Computing costs of labor and materials to determine production costs of products and articles 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 costs of labor, 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 metal items 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 creating new jewelry designs and modifying existing designs. 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 jewelers and precious stone and metal workers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was molding, coremaking, and casting machine setters, operators, and tenders, metal and plastic: only about 2% of its durable work is work you already do and it pays 15.6% less. And on the numbers you do not need one. This job scores 17/100 here, with only 14% of the task list in the top band, and “examine assembled or finished products to ensure conformance to specifications, using magnifying…” 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.

Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already examine assembled or finished products to ensure conformance to specifications, using magnifying glasses…, and their equivalent is to measure and visually inspect products for surface and dimension defects to ensure conformance…. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $44,350 against your $52,540, 15.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Tool and Die Makers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already smooth soldered joints and rough spots, using hand files and emery paper, and…, and their equivalent is to smooth and polish flat and contoured surfaces of parts or tools, using scrapers…. Across both published task lists that is about 1% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 1% of the durable side of that job. That is a different job, not a next step.
Look at that job’s page anyway →
Molders, Shapers, and Casters, Except Metal and Plastic
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already measure sizes of stones' bore holes and cuts to ensure adherence to specifications…, and their equivalent is to measure and cut products to specified dimensions, using measuring and cutting instruments. Across both published task lists that is about 1% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 1% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $46,170 against your $52,540, 12.1% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →

What I’d stop worrying about

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

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 14% of its task weight, across 44 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 cleaning and polishing metal items and jewelry pieces 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 Other skilled trades 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

In UK official statistics this job is counted as Other skilled trades n.e.c.. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.

Your route through this

Where to go next, and what it costs

Free, and complete

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

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

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

Nothing Collab365 runs is built for jewelers / precious stone / metal workers, 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 14% 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 jewelers / precious stone / metal workers. 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 jewelers / precious stone / metal 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 jewelers / precious stone / metal 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 jewelers / precious stone / metal workers 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 jewelers / precious stone / metal 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 Jewelers and Precious Stone and Metal Workers?: Not as a job, but it is already doing parts of the work. Across the 44 official task statements scored for Jewelers and Precious Stone and Metal Workers (United States, SOC 51-9071), 14% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 17 out of 100 (range 14–22, 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 “Jewelers and Precious Stone and Metal Workers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Compute costs of labor and materials to determine production costs of products and articles” (93/100, very high); “Write or modify design specifications such as the metal contents and weights of items” (75/100, high); “Record the weights and processing times of finished pieces” (69/100, 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 “Jewelers and Precious Stone and Metal Workers” stay human?: About 81% 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: “Rout out locations where parts are to be joined to items, using routing machines” (0/100, minimal); “Rotate molds to distribute alloys and to prevent formation of air pockets” (0/100, minimal); “Weigh, mix, and melt metal alloys or materials needed for jewelry models” (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 “Jewelers and Precious Stone and Metal Workers” do about AI?: Start from the ledger rather than the headline: 14% of this job's weighted core work is exposed, and roughly 81% 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 Jewelers and Precious Stone and Metal 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 44 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.
5 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 2026-08-05.
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.

How we score a job Download this release Look up another job

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.