Shigoto Zukan
日本語

Will AI replace electromechanical equipment assemblers?AI replacement risk 51% and how the work is changing

United States Manufacturing & Repair Confidence ★★★☆☆

Median annual pay
—
National statistics
Top pay (est.)
—
Top 10% —
Pay in 5 years
—est.
2031
Pay in 10 years
—est.
—
Outlook score
42/100
★★☆☆☆ Below average
AI replacement risk
51%
Moderate
Job growth (10 yr)
—
BLS projections

Will AI replace Electromechanical Equipment Assemblers? AI replacement risk

51%
Moderate
Ranked #536 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Skills, education and requirements for Electromechanical Equipment Assemblers

Key skills

Quality Control Analysis
3.2
Troubleshooting
3.1
Operations Monitoring
3.0
Reading Comprehension
3.0
Critical Thinking
2.9
Equipment Maintenance
2.9
Repairing
2.8
Active Listening
2.8

O*NET skill level ratings (0–7).

Key knowledge areas

Mechanical
3.7
Computers and Electronics
3.6
Engineering and Technology
3.2
Production and Processing
3.0
English Language
2.9
Mathematics
2.7
Design
2.5
Education and Training
2.5

What the work involves

Handling and Moving ObjectsMonitoring Processes, Materials, or SurroundingsUpdating and Using Relevant KnowledgeControlling Machines and ProcessesInspecting Equipment, Structures, or MaterialsIdentifying Objects, Actions, and EventsMaking Decisions and Solving ProblemsGetting Information

Important abilities

Near VisionFinger DexterityInformation OrderingVisualizationArm-Hand SteadinessManual Dexterity

Education of workers

High school diploma
53%
Some college
17%
Post-secondary certificate
11%

Training before entry

3–6 months
39%
1–3 months
17%
Up to 1 month
13%
1–2 years
11%
6–12 months
10%
None / short demo
9%
2–4 years
1%

Related work experience

2–4 years
31%
1–2 years
28%
Up to 1 month
11%
6–12 months
9%
1–3 months
9%
3–6 months
8%
4–6 years
2%
None
1%

Job Zone 2 — some preparation needed (O*NET)

Difficulty of entry: ★★☆☆☆ Fairly easy (from education, training, experience and Job Zone)

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: U.S. Bureau of Labor Statistics (OEWS; Employment Projections); O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.