As of August 2026, Fashion Designers has an AI-exposure score of 52/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Fashion Designers

52/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 37% of the roles we track. Median pay ~US$80,960. About 2,300 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Fashion Designers?

No exposure score can predict whether AI will replace this role. The 52/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

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

Common titles
Apparel DesignerCostume DesignerDesignerFashion DesignerApparel and Accessories DesignerFashion Design Contractor
O*NET job-zone preparation
Job Zone 3 · Medium Preparation Needed Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. Previous work-related skill, knowledge, or experience is required for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Critical ThinkingSpeakingActive LearningCoordinationJudgment and Decision MakingSocial Perceptiveness
Work context
Frequent contact with othersIndoor controlled settingDecision latitude

Source: O*NET 29.1 exact occupation - Fashion Designers, SOC 27-1022.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Fashion Designers tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its individually-assessed tasks split 85% durable / 15% augmentable.

Augmentable
  • Determine prices for styles.
  • Test fabrics or oversee testing so that garment care labels can be created.
1 more augmentable task locked in the report.
Durable
  • Sketch rough and detailed drawings of apparel or accessories, and write specifications such as color schemes, construction, material types, and accessory requirements.
  • Attend fashion shows and review garment magazines and manuals to gather information about fashion trends and consumer preferences.
15 more durable tasks locked in the report.

We analyzed all 20 Fashion Designers tasks - 3 augmentable and 17 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Craft Artists
64% skills overlap; 7 points lower - lower exposure; Moderate band; ~US$46,080
View path
45
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Determine prices for styles.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Fashion Designers - median pay by US state (BLS OEWS, USD)

New York: US$98,640Florida: US$43,020Texas: US$40,040

Median annual wage, in USD. US national: US$80,960. More states are being added.

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