Tailors and dressmakers

SOC 2020 code 5413

Tailors and dressmakers prepare patterns and make, fit and alter tailored garments, dresses and other articles of clothing.

Employees (UK)
-
Median annual pay
-
Exposure score ?
0.8/10 Minimal 3.5/10 Low strict reading · with tools is 3.5/10 with-tools reading · strict is 0.8/10
Wage exposure
- -

Higher exposure than 46% of the 379 UK occupations we scored.

Reading the score as:
What an LLM can do unaided. LLM plus workflow tools — closer to 2026.

What this score means

Most of this role's work is still genuinely hard for AI to do. Physical presence, bodily skill, high-context judgment, direct human care - the things that don't translate to text.

If you're in this role, here's what to do now

You're not in the firing line today. But the frontier moves. Build enough AI fluency now that you can direct it for the parts of your work that could benefit. People in unexposed roles who understand AI become unusually valuable inside their organisations.

A handful of tasks in this role are touchable by AI, mostly around paperwork, scheduling and basic writing. The shape of the role stays the same - some parts just get faster.

If you're in this role, here's what to do now

Pick the two or three most repetitive things in your week and try an LLM on them. Most people underestimate what Claude or ChatGPT can already do for admin-shaped work. The time you get back is the dividend.

Where a project with Alex usually starts for this role

This role's strict reading is low because its top tasks are judgment, not drafting. The three highest-stakes tasks below are still usually where we start — flip the toggle to 'With tools' to see what AI plus the right context can compress.

  1. Thread yarn, thread, or fabric through guides, needles, and rollers of machines.

    O*NET importance 4.5/5 · still needs a human under the strict reading

  2. Operate machines to cut multiple layers of fabric into parts for articles such as canvas goods, house furnishings, garments, hats, or stuffed toys.

    O*NET importance 4.4/5 · still needs a human under the strict reading

  3. Inspect products to ensure that the quality standards and specifications are met.

    O*NET importance 4.4/5 · still needs a human under the strict reading

These are the highest-importance tasks AI can already handle when paired with the right tools and context. In a typical engagement the first wins come from building workflows around these — usually the difference between an LLM that can technically do the job and one that actually does it inside your business.

  1. Inspect products to ensure that the quality standards and specifications are met.

    O*NET importance 4.4/5 · AI can do this with workflow tools

  2. Program electronic equipment.

    O*NET importance 4.2/5 · AI can do this with workflow tools

  3. Study guides, samples, charts, and specification sheets or confer with supervisors or engineering staff to determine set-up requirements.

    O*NET importance 4.2/5 · AI can do this with workflow tools

Every role has three or four wedges like these. Finding them takes an hour. Turning them into a workflow your team actually uses takes a few days. Talk to Alex about a project →

The full task breakdown

Every O*NET task for this occupation, split by what AI can already do unaided versus what still needs a human. Importance is O*NET's 1–5 rating of how central each task is to the role.

What AI can already do

2 of 18 tasks · unaided

  1. Program electronic equipment.

    importance 4.2/5

  2. Record information about work completed and machine settings.

    importance 4.1/5

Where humans still hold the line

16 of 18 tasks

  1. Thread yarn, thread, or fabric through guides, needles, and rollers of machines.

    importance 4.5/5

  2. Operate machines to cut multiple layers of fabric into parts for articles such as canvas goods, house furnishings, garments, hats, or stuffed toys.

    importance 4.4/5

  3. Inspect products to ensure that the quality standards and specifications are met.

    importance 4.4/5

  4. Adjust cutting techniques to types of fabrics and styles of garments.

    importance 4.4/5

  5. Place patterns on top of layers of fabric and cut fabric following patterns, using electric or manual knives, cutters, or computer numerically controlled cutting devices.

    importance 4.3/5

  6. Study guides, samples, charts, and specification sheets or confer with supervisors or engineering staff to determine set-up requirements.

    importance 4.2/5

  7. Start machines, monitor operations, and make adjustments as needed.

    importance 4.2/5

  8. Stop machines when specified amounts of product have been produced.

    importance 4.1/5

  9. Adjust machine controls, such as heating mechanisms, tensions, or speeds, to produce specified products.

    importance 4.1/5

  10. Notify supervisors of mechanical malfunctions.

    importance 4.1/5

  11. Inspect machinery to determine whether repairs are needed.

    importance 4.0/5

  12. Operate machines for test runs to verify adjustments and to obtain product samples.

    importance 4.0/5

  13. Confer with coworkers to obtain information about orders, processes, or problems.

    importance 4.0/5

  14. Install, level, and align components, such as gears, chains, guides, dies, cutters, or needles, to set up machinery for operation.

    importance 3.9/5

  15. Repair or replace worn or defective parts or components, using hand tools.

    importance 3.8/5

  16. Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oilcans, and grease guns.

    importance 3.5/5

What AI can already do

4 of 18 tasks · with tools

  1. Inspect products to ensure that the quality standards and specifications are met.

    importance 4.4/5

  2. Program electronic equipment.

    importance 4.2/5

  3. Study guides, samples, charts, and specification sheets or confer with supervisors or engineering staff to determine set-up requirements.

    importance 4.2/5

  4. Record information about work completed and machine settings.

    importance 4.1/5

Where humans still hold the line

14 of 18 tasks

  1. Thread yarn, thread, or fabric through guides, needles, and rollers of machines.

    importance 4.5/5

  2. Operate machines to cut multiple layers of fabric into parts for articles such as canvas goods, house furnishings, garments, hats, or stuffed toys.

    importance 4.4/5

  3. Adjust cutting techniques to types of fabrics and styles of garments.

    importance 4.4/5

  4. Place patterns on top of layers of fabric and cut fabric following patterns, using electric or manual knives, cutters, or computer numerically controlled cutting devices.

    importance 4.3/5

  5. Start machines, monitor operations, and make adjustments as needed.

    importance 4.2/5

  6. Stop machines when specified amounts of product have been produced.

    importance 4.1/5

  7. Adjust machine controls, such as heating mechanisms, tensions, or speeds, to produce specified products.

    importance 4.1/5

  8. Notify supervisors of mechanical malfunctions.

    importance 4.1/5

  9. Inspect machinery to determine whether repairs are needed.

    importance 4.0/5

  10. Operate machines for test runs to verify adjustments and to obtain product samples.

    importance 4.0/5

  11. Confer with coworkers to obtain information about orders, processes, or problems.

    importance 4.0/5

  12. Install, level, and align components, such as gears, chains, guides, dies, cutters, or needles, to set up machinery for operation.

    importance 3.9/5

  13. Repair or replace worn or defective parts or components, using hand tools.

    importance 3.8/5

  14. Clean, oil, and lubricate machines, using air hoses, cleaning solutions, rags, oilcans, and grease guns.

    importance 3.5/5

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Methodology

This role's exposure score comes from Eloundou et al's 2023 GPT task labels, aggregated by O*NET importance within each O*NET-SOC code, then bridged to UK SOC 2020 via ISCO-08 (ONS Vol 2 coding index) and US SOC 2010 (BLS crosswalk). Employment and median pay come from ONS ASHE Table 14.7a, 2025 provisional. ASHE covers employees only, so self-employed workers are not counted.

Methodology · Sources (PDF) · About · Built 29 April 2026

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