As of August 2026, Electromechanical Equipment Assemblers has an AI-exposure score of 51/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Electromechanical Equipment Assemblers

51/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 34% of the roles we track.

Will AI replace Electromechanical Equipment Assemblers?

No exposure score can predict whether AI will replace this role. The 51/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role's task mix is automation-heavy, but it sits in the Elevated exposure band rather than our highest-exposure bands. That is only a partial match to the study's cohort, so the headline figure is context rather than a direct forecast for this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Assemble or modify electromechanical equipment or devices, such as servomechanisms, gyros, dynamometers, magnetic drums, tape drives, brakes, control linkage, actuators, and appliances.

Common titles
AssemblerElectronic AssemblerElectronic TechnicianMechanical AssemblerElectrical AssemblerElectromechanical Assembler
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

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

Skills and knowledge
Critical ThinkingReading ComprehensionSpeakingMonitoringProduction and ProcessingMechanical
Work context
Indoor controlled settingFrequent contact with othersDecision latitudeRepeating tasks

Source: O*NET 29.1 exact occupation - Electromechanical Equipment Assemblers, SOC 51-2023.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

Know someone whose job is changing? Share your score.
Post Share Score card
Every share sends them to their own free scan.

Electromechanical Equipment Assemblers tasks, by AI exposure

Automatable
  • File, lap, and buff parts to fit, using hand and power tools.
  • Attach name plates and mark identifying information on parts.
  • Pack or fold insulation between panels.
8 more automatable tasks locked in the report.
Augmentable
  • Drill, tap, ream, countersink, and spot-face bolt holes in parts, using drill presses and portable power drills.
  • Disassemble units to replace parts or to crate them for shipping.
1 more augmentable task locked in the report.
Durable

No durable tasks identified for this role - its individually-assessed tasks split 79% automatable / 21% augmentable.

We analyzed all 14 Electromechanical Equipment Assemblers tasks - 11 automatable and 3 augmentable. 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.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Engine and Other Machine Assemblers
72% skills overlap; 10 points lower - lower exposure; Moderate band; ~US$53,710
View path
41
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

File, lap, and buff parts to fit, using hand and power tools.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
Unlock the report to check this task

Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

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

Personalize it: paste your résumé & LinkedIn (optional) - your rewrite is included in the report
Used only to generate your report. You can delete it anytime via delete my data.
Optional preference: adds a clearly labeled tradeoff card. It never reorders or relabels the evidence-backed adjacent roles.
14-day money-back guarantee One-time · kept forever · no subscription

Generation starts after checkout; reports are typically ready within a few minutes.

Get ahead: a rising skill on this path is Critical Thinking. Explore courses →
Some course links are affiliate links - we may earn a small commission at no extra cost to you.
Unlock my report - $29
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.