Will AI replace Tailors, Dressmakers, and Custom Sewers?

Not as a job, but it is already doing parts of the work. Across the 22 official task statements scored for Tailors, Dressmakers, and Custom Sewers (United States, SOC 51-6052), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 5 out of 100 (range 3–9, 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 “Tailors, Dressmakers, and Custom Sewers” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Estimate how much a garment will cost to make, based on factors such as time and material requirements” (50/100, partial); “Record required alterations and instructions on tags, and attach them to garments” (25/100, low); “Develop, copy, or adapt designs for garments, and design patterns to fit measurements, applying knowledge of garment design, construction, styling, and fabric” (25/100, low). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.

Which tasks in “Tailors, Dressmakers, and Custom Sewers” stay human?

About 96% 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: “Put in padding and shaping materials” (0/100, minimal); “Sew buttonholes and attach buttons to finish garments” (0/100, minimal); “Position patterns of garment parts on fabric, and cut fabric along outlines, using scissors” (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 “Tailors, Dressmakers, and Custom Sewers” do about AI?

Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 96% 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 Tailors, Dressmakers, and Custom Sewers 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 22 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

Tailors, Dressmakers, and Custom Sewers

measuring parts, assembling garment parts and join parts with basting stitches and taking up or let down hems to shorten or lengthen garment parts. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: sewing garments, using needles and thread or sewing machines 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: 0%
changing shape: 4%
staying human: 96%

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

Whole-job exposure score 5 out of 100 (3–9 allowing for uncertainty): minimal exposure, across 22 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 tailors, dressmakers, and custom sewers 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 estimating how much a garment will cost. This page scores what today's tools actually do, not headlines.

Your week, as this page understands it

Design, make, alter, repair, or fit garments. The job title says “tailors”, “dressmakers” or “custom sewers”: officially one job, several names. The real job is the part underneath: sewing garments, using needles and thread or sewing machines. 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 tailors, dressmakers, and custom sewers is not one task. It is 22 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is sewing garments, using needles and thread or sewing machines, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 0%
changing shape: 4%
staying human: 96%

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.

2 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

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

1 task

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.

Estimating how much a garment will cost
The software now makes the first pass at how much a garment will cost, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Estimate how much a garment will cost to make, based on factors such as time and material requirements.” (O*NET task statement)
How this row was scored
Exposure score: 50 out of 100 (43–57 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch.
The rating behind it: Costing a garment is arithmetic software handles, but judging how long tricky work takes still relies on experience.
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 2/4.

Staying human

21 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.

Sewing garments, using needles and thread or sewing machines
This work happens in the physical world: garments, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Sew garments, using needles and thread or sewing 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: Sewing is done by hand or at a machine, so a person must physically do it.
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.
Trimming excess material, using scissors
This work happens in the physical world: excess material, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Trim excess material, using scissors.” (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: Trimming excess fabric with scissors is pure 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.
Removing stitches from garments
This work happens in the physical world: stitches, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Remove stitches from garments to be altered, using rippers or razor blades.” (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: Unpicking stitches is delicate handwork on a real garment that software cannot do.
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 parts, such as sleeves or pant legs and marking or pin-fold alteration lines
This work happens in the physical world: parts, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Measure parts, such as sleeves or pant legs, and mark or pin-fold alteration lines.” (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 and pin-folding happens on the actual garment and body, so it needs hands in the room.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 1/4.
Repairing or replacing defective garment parts
This work happens in the physical world: defective garment parts, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Repair or replace defective garment parts, such as pockets, zippers, snaps, buttons, and linings.” (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 zippers, pockets or linings is manual repair work 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 2/4.
Making garment style changes, such as tapering pant legs, narrowing lapels and adding or removing padding
This work happens in the physical world: garment style changes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Make garment style changes, such as tapering pant legs, narrowing lapels, and adding or removing padding.” (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: Reshaping lapels or pant legs means cutting and resewing actual cloth.
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.
Pressing garments, using hand irons or pressing machines
This work happens in the physical world: garments, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Press garments, using hand irons or pressing 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: Pressing requires standing at an iron or press with the garment.
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.
Letting out or taking in seams in suits and other garments to improve fit
This work happens in the physical world: this work, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Let out or take in seams in suits and other garments to improve fit.” (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: Letting out or taking in seams means cutting and restitching real fabric 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.
Taking up or let down hems to shorten or lengthen garment parts
This work happens in the physical world: or let down hems, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Take up or let down hems to shorten or lengthen garment parts, such as sleeves.” (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: Changing a hem length is sewing done on the garment.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

Show the other 12 tasks

Recording required alterations and instructions on tags
staying human
This work happens in the physical world: required alterations, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Record required alterations and instructions on tags, and attach them to garments.” (O*NET task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 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: Writing the alteration note is easy for software, but the tag has to be attached to the garment.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Developing copy
staying human
This work happens in the physical world: copy, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Develop, copy, or adapt designs for garments, and design patterns to fit measurements, applying knowledge of garment design, construction, styling, and fabric.” (O*NET task statement)
How this row was scored
Exposure score: 25 out of 100 (18–32 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: Pattern software can adapt designs to measurements, though shaping cloth to a real body still takes a trained eye.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Examining tags on garments to determine alterations
staying human
This work happens in the physical world: tags, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Examine tags on garments to determine alterations that are needed.” (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: Reading the tag is simple, but you need the garment in front of you to check it.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Conferring with customers to determine types of material and garment styles
staying human
This work happens in the physical world: customers, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Confer with customers to determine types of material and garment styles desired.” (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: Choosing fabrics and styles with a customer usually means handling samples together and reading what they actually want.
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 2/4 · how much data exists 1/4.
Fitting and studying garments on customers to determine required alterations
staying human
This work happens in the physical world: garments, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Fit and study garments on customers to determine required alterations.” (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 value is that a specific person does it.
The rating behind it: Judging fit means seeing and touching the garment on the customer in person.
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 2/4 · how much data exists 1/4.
Assembling garment parts and join parts with basting stitches
staying human
This work happens in the physical world: garment parts, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Assemble garment parts and join parts with basting stitches, using needles and thread or sewing 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: Basting and joining garment parts is manual stitching 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 1/4.
Fitting alter, repair and making made-to-measure clothing
staying human
This work happens in the physical world: alter, repair and making made-to-measure, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Fit, alter, repair, and make made-to-measure clothing, according to customers' and clothing manufacturers' specifications and fit, and applying principles of garment design, construction, and styling.” (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 and fitting made-to-measure clothing is craft work done by hand on real cloth.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Maintaining garment drape and proportions as alterations
staying human
This work happens in the physical world: garment drape, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Maintain garment drape and proportions as alterations are performed.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Keeping a garment hanging correctly is judged by eye and hand as the work proceeds.
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 customers, using tape measures and recording measurements
staying human
This work happens in the physical world: customers, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Measure customers, using tape measures, and record measurements.” (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 a person requires being with them, tape 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 1/4 · how much data exists 2/4.
Positioning patterns of garment parts on fabric
staying human
This work happens in the physical world: patterns of garment parts, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Position patterns of garment parts on fabric, and cut fabric along outlines, using scissors.” (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: Laying out patterns and cutting fabric is done with hands on the cutting table.
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.
Sewing buttonholes and attaching buttons to finish garments
staying human
This work happens in the physical world: buttonholes, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Sew buttonholes and attach buttons to finish garments.” (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: Sewing buttonholes and attaching buttons is done at the machine or 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.
Putting in padding and shaping materials
staying human
This work happens in the physical world: padding, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Put in padding and shaping materials.” (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: Inserting padding and shaping materials is handwork inside the garment.
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: $41,640a 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: 13,920in 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 how much a garment will cost, work whose mistakes are cheap to catch, so software can take the first pass. The rows above are exactly that shape: estimating how much a garment will cost. What it cannot do is be there in the room, and that is still where garments 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: sewing garments, using needles and thread or sewing machines 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, 4% in rows that change shape rather than disappear, and 96% in rows it is nowhere near. That is the position, measured across 22 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. Estimating how much a garment will cost 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 how much a garment will cost, 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 excess material 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 estimating how much a garment will cost. 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 tailors, dressmakers, and custom sewers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was pressers, textile, garment, and related materials: only about 14% of its durable work is work you already do and it pays 15.8% less. And on the numbers you do not need one. This job scores 5/100 here, with only 0% of the task list in the top band, and “sew garments, using needles and thread or sewing machines” 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.

Pressers, Textile, Garment, and Related Materials
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already press garments, using hand irons or pressing machines, and their equivalent is to lower irons, rams, or pressing heads of machines into position over material to…. Across both published task lists that is about 14% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 14% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $35,060 against your $41,640, 15.8% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Sewers, Hand
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already trim excess material, using scissors, and their equivalent is to trim excess threads or edges of parts, using scissors or knives. Across both published task lists that is about 12% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $36,480 against your $41,640, 12.4% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice. And it is a narrow door: about 2,190 of those jobs against 13,920 of yours (OEWS May 2025), 16% as many seats.
Look at that job’s page anyway →
Sewing Machine Operators
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already sew garments, using needles and thread or sewing machines, and their equivalent is to guide garments or garment parts under machine needles and presser feet to sew…. Across both published task lists that is about 9% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $36,670 against your $41,640, 11.9% 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: 0% of its task weight, across 22 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 sewing garments, using needles and thread or sewing machines 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 Tailors and dressmakers 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 Tailors and dressmakers. 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
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Anywhere in the US:
American Job Center locator
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- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
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Anywhere in the US:
CareerOneStop
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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 tailors / dressmakers / custom sewers 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 tailors / dressmakers / custom sewers 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 tailors / dressmakers / custom sewers 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 tailors / dressmakers / custom sewers 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 Tailors, Dressmakers, and Custom Sewers?: Not as a job, but it is already doing parts of the work. Across the 22 official task statements scored for Tailors, Dressmakers, and Custom Sewers (United States, SOC 51-6052), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 5 out of 100 (range 3–9, 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 “Tailors, Dressmakers, and Custom Sewers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Estimate how much a garment will cost to make, based on factors such as time and material requirements” (50/100, partial); “Record required alterations and instructions on tags, and attach them to garments” (25/100, low); “Develop, copy, or adapt designs for garments, and design patterns to fit measurements, applying knowledge of garment design, construction, styling, and fabric” (25/100, low). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Tailors, Dressmakers, and Custom Sewers” stay human?: About 96% 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: “Put in padding and shaping materials” (0/100, minimal); “Sew buttonholes and attach buttons to finish garments” (0/100, minimal); “Position patterns of garment parts on fabric, and cut fabric along outlines, using scissors” (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 “Tailors, Dressmakers, and Custom Sewers” do about AI?: Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 96% 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 Tailors, Dressmakers, and Custom Sewers 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 22 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.
2 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.

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Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.