AI JOB RISK SCANNER
O*NET-SOC 51-6052.00 / model V11 rated-task engine

Will AI replace
Tailors, Dressmakers, and Custom Sewers?

Design, make, alter, repair, or fit garments.

Estimated AI task exposure
22%

Low-Moderate exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

22 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

24/100

Physical moat

44/100

Human moat

9/100

Rating coverage

100%

22 task statements / 22 rated

Highest-weighted occupation tasks

Sew garments, using needles and thread or sewing machines.
Importance 82/100Relevance 99/100Frequency 80/100Weight 0.88
Trim excess material, using scissors.
Importance 80/100Relevance 100/100Frequency 80/100Weight 0.88
Remove stitches from garments to be altered, using rippers or razor blades.
Importance 84/100Relevance 96/100Frequency 78/100Weight 0.87
Measure parts, such as sleeves or pant legs, and mark or pin-fold alteration lines.
Importance 84/100Relevance 93/100Frequency 76/100Weight 0.85
Press garments, using hand irons or pressing machines.
Importance 77/100Relevance 95/100Frequency 78/100Weight 0.84
Let out or take in seams in suits and other garments to improve fit.
Importance 82/100Relevance 91/100Frequency 74/100Weight 0.83
Make garment style changes, such as tapering pant legs, narrowing lapels, and adding or removing padding.
Importance 78/100Relevance 94/100Frequency 72/100Weight 0.83
Take up or let down hems to shorten or lengthen garment parts, such as sleeves.
Importance 78/100Relevance 92/100Frequency 76/100Weight 0.83
Repair or replace defective garment parts, such as pockets, zippers, snaps, buttons, and linings.
Importance 78/100Relevance 97/100Frequency 68/100Weight 0.83
Assemble garment parts and join parts with basting stitches, using needles and thread or sewing machines.
Importance 80/100Relevance 87/100Frequency 75/100Weight 0.81

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$41,640

BLS OEWS May 2025

National employment

13,920

BLS OEWS May 2025

Projected growth

-8.8%

BLS Employment Projections 2025–2035

Average annual openings

4

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

    AUGMENT

    • administrative support tasks
    • planning and documentation

    PROTECT

    • domain expertise
    • exception handling
    • accountability for outcomes

    LEARN

    • cross-functional business knowledge
    • risk and governance
    • basic AI literacy

    AI-PROOFING RESOURCES

    What this score does not mean

    The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

    New in V11

    Find a Safer Career Path

    High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

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