As of June 2026, Engine and Other Machine Assemblers has an AI-exposure score of 40/100 (Moderate exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Engine and Other Machine Assemblers

40/100
Moderate exposure
LowModerateElevatedHighVery High

More exposed than 10% of the roles we track. Median pay ~US$53,710. About 2,800 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Construct, assemble, or rebuild machines, such as engines, turbines, and similar equipment used in such industries as construction, extraction, textiles, and paper manufacturing.

Common titles
AssemblerAssembly Line WorkerEngine AssemblerMachine AssemblerCell TechnicianEngine Builder
O*NET job-zone preparation
Job Zone 2 · Some Preparation Needed These occupations usually require a high school diploma. Some previous work-related skill, knowledge, or experience is usually needed.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionCritical ThinkingMonitoringSpeakingMechanicalProduction and Processing
Tools and technology
Dassault Systemes SolidWorksMicrosoft ExcelMicrosoft Office softwareMicrosoft WordSAP softwareComputer aided design and drafting CADD software
Work context
Face-to-face discussionsFrequent contact with othersDecision latitudeConsequence of errorRepeating tasks

Source: O*NET 29.1 exact occupation - Engine and Other Machine Assemblers, SOC 51-2031.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Engine and Other Machine Assemblers tasks, by AI exposure

Automatable

No automatable tasks identified for this role — its real, individually-assessed tasks consistently read as augmentable (83%).

Augmentable
  • Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations.
  • Fasten or install piping, fixtures, or wiring and electrical components to form assemblies or subassemblies, using hand tools, rivet guns, or welding equipment.
8 more augmentable tasks locked in the report.
Durable
  • Position or align components for assembly, manually or using hoists.
  • Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.

We analyzed all 12 Engine and Other Machine Assemblers tasks — 10 augmentable and 2 durable. The full task map — every task with exactly what to do about each — is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

Safer adjacent roles

Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
80% skills overlap · Moderate exposure · ~US$65,380
48
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations.". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.