O*NET-SOC 49-9043.00 / model V11 rated-task engine

Will AI replace
Maintenance Workers, Machinery?

Lubricate machinery, change parts, or perform other routine machinery maintenance.

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

24/100

Physical moat

86/100

Human moat

22/100

Rating coverage

100%

18 task statements / 18 rated

Highest-weighted occupation tasks

Start machines and observe mechanical operation to determine efficiency and to detect problems.

Importance 73/100Relevance 99/100Frequency 69/100Weight 0.82

Dismantle machines and remove parts for repair, using hand tools, chain falls, jacks, cranes, or hoists.

Importance 78/100Relevance 96/100Frequency 66/100Weight 0.82

Install, replace, or change machine parts and attachments, according to production specifications.

Importance 76/100Relevance 98/100Frequency 66/100Weight 0.82

Record production, repair, and machine maintenance information.

Importance 78/100Relevance 99/100Frequency 61/100Weight 0.82

Reassemble machines after the completion of repair or maintenance work.

Importance 78/100Relevance 98/100Frequency 58/100Weight 0.81

Inspect or test damaged machine parts, and mark defective areas or advise supervisors of repair needs.

Importance 74/100Relevance 99/100Frequency 60/100Weight 0.80

Collaborate with other workers to repair or move machines, machine parts, or equipment.

Importance 75/100Relevance 96/100Frequency 62/100Weight 0.80

Lubricate or apply adhesives or other materials to machines, machine parts, or other equipment according to specified procedures.

Importance 76/100Relevance 98/100Frequency 57/100Weight 0.80

Collect and discard worn machine parts and other refuse to maintain machinery and work areas.

Importance 71/100Relevance 99/100Frequency 58/100Weight 0.78

Set up and operate machines, and adjust controls to regulate operations.

Importance 76/100Relevance 90/100Frequency 64/100Weight 0.78

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

$60,850

BLS OEWS May 2025

National employment

60,020

BLS OEWS May 2025

Projected growth

-1.9%

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.

SAFER ALTERNATIVE