AI JOB RISK SCANNER
O*NET-SOC 51-9021.00 / model V11 rated-task engine

Will AI replace
Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders?

Set up, operate, or tend machines to crush, grind, or polish materials, such as coal, glass, grain, stone, food, or rubber.

Estimated AI task exposure
31%

Low-Moderate exposure

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

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

Digital/info work

40/100

Physical moat

54/100

Human moat

11/100

Rating coverage

100%

21 task statements / 21 rated

Highest-weighted occupation tasks

Observe operation of equipment to ensure continuity of flow, safety, and efficient operation, and to detect malfunctions.
Importance 84/100Relevance 100/100Frequency 90/100Weight 0.92
Tend accessory equipment, such as pumps and conveyors, to move materials or ingredients through production processes.
Importance 77/100Relevance 91/100Frequency 77/100Weight 0.82
Clean work areas.
Importance 68/100Relevance 96/100Frequency 72/100Weight 0.80
Notify supervisors of needed repairs.
Importance 76/100Relevance 97/100Frequency 58/100Weight 0.79
Move controls to start, stop, or adjust machinery and equipment that crushes, grinds, polishes, or blends materials.
Importance 76/100Relevance 81/100Frequency 80/100Weight 0.79
Weigh or measure materials, ingredients, or products at specified intervals to ensure conformance to requirements.
Importance 76/100Relevance 88/100Frequency 70/100Weight 0.79
Clean, adjust, and maintain equipment, using hand tools.
Importance 78/100Relevance 78/100Frequency 73/100Weight 0.77
Inspect chains, belts, or scrolls for signs of wear.
Importance 68/100Relevance 85/100Frequency 66/100Weight 0.74
Record data from operations, testing, and production on specified forms.
Importance 69/100Relevance 83/100Frequency 61/100Weight 0.73
Dislodge and clear jammed materials or other items from machinery and equipment, using hand tools.
Importance 61/100Relevance 93/100Frequency 57/100Weight 0.72

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

$48,540

BLS OEWS May 2025

National employment

26,000

BLS OEWS May 2025

Projected growth

-1.7%

BLS Employment Projections 2025–2035

Average annual openings

2

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

      LEARN

      • 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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