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STRATUSWORKFORCE SCAN

Fashion Designers

In short: today's best AI models could do about 43% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 77% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 22% of the time, stays with people.

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Design clothing and accessories. Create original designs or adapt fashion trends.

21,450 people do this job in the US. $80,960 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on17 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet14 h
  • Stays with people9 h

Fashion Designers, now: of a 40-hour week, AI could take on 17 hours, 0 hours become checking its work, 14 hours are desk work it can't do yet, and 9 hours stay with people.

The largest pieces: Sketch rough and detailed drawings of apparel or accessories, and write specifications such as color schemes, construction, material types, and accessory requirements (about 6 h); Research the styles and periods of clothing needed for film or theatrical productions (about 4 h); Read scripts and consult directors and other production staff to develop design concepts and plan productions (about 2 h).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
43%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 78%
  • 8%
  • 14%
6%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 78% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 10%. Today's estimate: 43%.

0%10%20%30%40%50%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 0% within reachGemini 3 Pro, November 2025: 1% within reachClaude Opus 4.5, November 2025: 1% within reachGPT-5.2, December 2025: 1% within reachClaude Opus 4.6, February 2026: 2% within reachClaude Mythos Preview (early), April 2026: 10% within reachToday (estimate), November 2026: 43% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 20 tasks showed up. Within each of Anthropic's methods, never across a change: 0.039% to 0.038% (released February and March 2025); 0.03% to 0.039% (August 2025 to February 2026).

0%0.025%0.05%20252026released February 2025: 0.039%released March 2025: 0.038%the week of Aug 4, 2025: 0.03%the week of Nov 13, 2025: 0.028%the week of Feb 5, 2026: 0.039%April 2026: noneMay 2026: none
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.039%315 of 7086 of 20
Released March 20250.038%315 of 7035 of 20
The week of Aug 4, 20250.03%313 of 6554 of 20
The week of Nov 13, 20250.028%335 of 6725 of 20
The week of Feb 5, 20260.039%282 of 6775 of 20
April 2026nonen/a0 of 20
May 2026nonen/a0 of 20

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 26% of this job's working time as physical work. For 5% of the working time, a robot has been shown doing most of the task somewhere: 5% in a purpose-built cell. 0.05 of 3, the 585th highest of the 923 jobs.

  • Not physical 74%
  • No robot shown 21%
  • In a purpose-built cell 5%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 20 tasks from .

TaskKind
Develop a group of products or accessories, and market them through venues such as boutiques or mail-order catalogs.Done more than yearly by most who do it.Robots: no robot shown. Anthropic's rating.21%3.1 work days6.7 h to 2.1 work weeks11%Half by Oct 2027
Sketch rough and detailed drawings of apparel or accessories, and write specifications such as color schemes, construction, material types, and accessory requirements.Done more than weekly by most who do it. 15%2.5 h50 min to 6.7 h96%Half by now
Research the styles and periods of clothing needed for film or theatrical productions.Done several times a day by most who do it.15%6.7 h1.7 h to 2.1 work days61%Half by now
Design custom clothing and accessories for individuals, retailers, or theatrical, television, or film productions.Done more than yearly by most who do it.12%1.7 work days3.3 h to 1 work week28%Half by Apr 2027
Read scripts and consult directors and other production staff to develop design concepts and plan productions.Done daily by most who do it. AI observed on this task.5%6.7 h2.5 h to 2.1 work days76%Half by now
Direct and coordinate workers involved in drawing and cutting patterns and constructing samples or finished garments.Done more than monthly by most who do it. 4%2.5 h50 min to 4.2 hStays with people
Adapt other designers' ideas for the mass market.Done more than monthly by most who do it. 4%2.5 h50 min to 6.7 h96%Half by now
Select materials and production techniques to be used for products.Done more than weekly by most who do it. 3%1.7 h38 min to 4.2 h100%Half by now
Attend fashion shows and review garment magazines and manuals to gather information about fashion trends and consumer preferences.Done more than monthly by most who do it. 3%2.5 h1.3 h to 6.7 hStays with people
Examine sample garments on and off models, modifying designs to achieve desired effects.Done more than weekly by most who do it. Robots: no robot shown. Anthropic's rating.3%1.3 h38 min to 3.3 hStays with people
Collaborate with other designers to coordinate special products and designs.Done daily by most who do it. 2%1.7 h38 min to 4.2 hStays with people
Draw patterns for articles designed, cut patterns, and cut material according to patterns, using measuring instruments and scissors.Done daily by most who do it.Robots: in a purpose-built cell, Lectra Vector Fashion (Vector iX) (sold). Anthropic's rating.2%3.3 h1.3 h to 1 work dayStays with people

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025).

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025).

Questions about this job

How much of the work of Fashion Designers is within reach of AI now?
An estimated 43% of the working time is within reach of AI models now and 77% by the end of 2028, on METR's long-run pace at four in five (68% to 78% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Fashion Designers come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Sketch rough and detailed drawings of apparel or accessories, and write specifications such as color schemes, construction, material types, and accessory requirements (96% of the task's time now); Research the styles and periods of clothing needed for film or theatrical productions (61% of the task's time now, 100% by the end of 2028); and Read scripts and consult directors and other production staff to develop design concepts and plan productions (76% of the task's time now, 100% by the end of 2028).
Which tasks of Fashion Designers stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Direct and coordinate workers involved in drawing and cutting patterns and constructing samples or finished garments; Attend fashion shows and review garment magazines and manuals to gather information about fashion trends and consumer preferences; and Examine sample garments on and off models, modifying designs to achieve desired effects. Together such tasks are about 22% of the working time.
Do people already use AI for the work of Fashion Designers?
In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 6%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Fashion Designers?
Anthropic's robot exposure rating (September 2026) finds 26% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 5% of the working time. Its index is 0.05 of 3. One example: Lectra Vector Fashion (Vector iX) for "draw patterns for articles designed, cut patterns, and cut material according to patterns, using measuring instruments and scissors". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 20 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

This job in your state or metro area
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