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Engine and Other Machine Assemblers

Engine and Other Machine Assemblers score 10 out of 100, which is low exposure to AI. That ranks #757 of 923 US occupations, where #1 is the most exposed. Of the 12 tasks in this job, AI could speed up 0 on its own and 2 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

10/ 100
Low
Rank
#757of 923 jobs
US workers
34,000BLS, May 2025
Median pay
$53,710a year
In real AI use
0 of 12tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 0 (0%)
  • AI can speed this up with extra software: 2 (17%)
  • Little or no AI speed-up: 10 (83%)
  • Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations.AI can speed this up with extra software · core task
  • Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers.AI can speed this up with extra software · core task
  • Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.Little or no AI speed-up · core task
  • Position or align components for assembly, manually or using hoists.Little or no AI speed-up · core task
  • Set and verify parts clearances.Little or no AI speed-up · core task
  • Fasten or install piping, fixtures, or wiring and electrical components to form assemblies or subassemblies, using hand tools, rivet guns, or welding equipment.Little or no AI speed-up · core task
  • Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools.Little or no AI speed-up · core task
  • Lay out and drill, ream, tap, or cut parts for assembly.Little or no AI speed-up · core task
  • Rework, repair, or replace damaged parts or assemblies.Little or no AI speed-up · core task
  • Assemble systems of gears by aligning and meshing gears in gearboxes.Little or no AI speed-up · supplemental task
  • Set up and operate metalworking machines, such as milling or grinding machines, to shape or fabricate parts.Little or no AI speed-up · supplemental task
  • Maintain and lubricate parts or components.Little or no AI speed-up · supplemental task

Questions about engine and other machine assemblers and AI

Will AI replace engine and other machine assemblers?

Unlikely. Most of the work is hard for today's AI to speed up. Engine and Other Machine Assemblers score 10 out of 100 (low exposure), #757 of 923 US jobs. AI could speed up 2 of the job's 12 tasks, 0 of them on its own, while 10 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which engine and other machine assemblers tasks can AI do?

The most exposed tasks include "Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations"; "Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers".

Which engine and other machine assemblers tasks are hardest for AI?

Tasks with little or no AI speed-up include "Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications"; "Position or align components for assembly, manually or using hoists"; "Set and verify parts clearances".

Are people already using AI for this work?

Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.

How many people work as engine and other machine assemblers, and what do they earn?

About 34,000 people in the US, with median pay of $53,710 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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