O*NET-SOC 51-9031.00 / model V11 rated-task engine

Will AI replace
Cutters and Trimmers, Hand?

Use hand tools or hand-held power tools to cut and trim a variety of manufactured items, such as carpet, fabric, stone, glass, or rubber.

Estimated AI task exposure

Low exposure

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

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

Digital/info work

21/100

Physical moat

77/100

Human moat

13/100

Rating coverage

100%

18 task statements / 18 rated

Highest-weighted occupation tasks

Cut, shape, and trim materials, such as textiles, food, glass, stone, and metal, using knives, scissors, and other hand tools, portable power tools, or bench-mounted tools.

Importance 83/100Relevance 88/100Frequency 78/100Weight 0.84

Trim excess material or cut threads off finished products, such as cutting loose ends of plastic off a manufactured toy for a smoother finish.

Importance 84/100Relevance 82/100Frequency 86/100Weight 0.83

Mark or discard items with defects such as spots, stains, scars, snags, chips, scratches, or unacceptable shapes or finishes.

Importance 86/100Relevance 87/100Frequency 74/100Weight 0.83

Mark cutting lines around patterns or templates, or follow layout points, using squares, rules, and straightedges, and chalk, pencils, or scribes.

Importance 82/100Relevance 87/100Frequency 78/100Weight 0.83

Position templates or measure materials to locate specified points of cuts or to obtain maximum yields, using rules, scales, or patterns.

Importance 82/100Relevance 82/100Frequency 76/100Weight 0.81

Read work orders to determine dimensions, cutting locations, and quantities to cut.

Importance 82/100Relevance 76/100Frequency 77/100Weight 0.78

Fold or shape materials before or after cutting them.

Importance 79/100Relevance 73/100Frequency 82/100Weight 0.77

Unroll, lay out, attach, or mount materials or items on cutting tables or machines.

Importance 80/100Relevance 69/100Frequency 85/100Weight 0.77

Mark identification numbers, trademarks, grades, marketing data, sizes, or model numbers on products.

Importance 81/100Relevance 69/100Frequency 82/100Weight 0.77

Separate materials or products according to size, weight, type, condition, color, or shade.

Importance 80/100Relevance 71/100Frequency 76/100Weight 0.76

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

$38,020

BLS OEWS May 2025

National employment

6,060

BLS OEWS May 2025

Projected growth

-18.9%

BLS Employment Projections 2025–2035

Average annual openings

0

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.

SAFER ALTERNATIVE