AI exposure by occupation, O*NET 51-2031.00

Will AI replace Engine and Other Machine Assemblers?

Engine and Other Machine Assemblers: AI can already handle 4 of 12 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 12 tasks O*NET 30.3 lists for Engine and Other Machine Assemblers, from most to least exposed. 4 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications. 80 Estimated Standard 4.5
Set and verify parts clearances. 80 Estimated Efficient 4.4
Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers. 80 Estimated Standard 4.4
Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations. 65 Estimated Efficient 4.7
Fasten or install piping, fixtures, or wiring and electrical components to form assemblies or subassemblies, using hand tools, rivet guns, or welding equipment. 20 Estimated Efficient 4.3
Rework, repair, or replace damaged parts or assemblies. 20 Estimated Efficient 4.1
Maintain and lubricate parts or components. 20 Estimated Efficient 3.9
Position or align components for assembly, manually or using hoists. 15 Estimated No tier 4.4
Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools. 15 Estimated No tier 4.2
Lay out and drill, ream, tap, or cut parts for assembly. 15 Estimated No tier 4.1
Assemble systems of gears by aligning and meshing gears in gearboxes. 15 Estimated No tier 4.0
Set up and operate metalworking machines, such as milling or grinding machines, to shape or fabricate parts. 15 Estimated No tier 4.0

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 12 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 12 of 12. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 59% of the role's importance-weighted task work. 59% of the work is something AI can address at some tier, and 41% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
34,000
Median annual wage
$53,710
Middle half of earners
$45,230 to $74,920
Projected change, 2024 to 2034
-21.1%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Engine and Other Machine Assemblers and AI

Will AI replace Engine and Other Machine Assemblers?

AI already handles 4 of the 12 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 38 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -21.1% from 2024 to 2034.

What is the AI exposure of Engine and Other Machine Assemblers?

38 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 12 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 12 are estimated from each task's O*NET work activity.

Which Engine and Other Machine Assemblers tasks can AI already do?

The tasks with the highest exposure are: Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications; Set and verify parts clearances; Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers. They are three of the 4 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 59% of the role's importance-weighted task work, and 41% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Engine and Other Machine Assemblers, and what do they earn?

34,000 people in the United States, with a median annual wage of $53,710 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -21.1% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Engine and Other Machine Assemblers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/engine-and-other-machine-assemblers

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