O*NET-SOC 49-9043.00 / model V14 rated-task + local-market 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.

CHECK PAY WHERE YOU LIVE

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