AI Automation Index

Will AI Replace Electromechanical Equipment Assemblers?

Task-level automation exposure for Electromechanical Equipment Assemblers: 14 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

16% weighted task index

14 of 14 tasks scored

Median Salary

$45,930 / year

BLS OEWS, May 2025 — 51-2020 group row

Employment Level

High

259,810 people hold this job — size, not growth

Projected 2025–35

+4.6% employment change

27,100 openings a year · BLS roll-up 51-2020

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 16%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 66%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 0%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 0%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 5/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

14 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 8%

1 tasks

Medium exposure (≥ 35%) 0%

0 tasks

Low exposure (below 35%) 92%

13 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#13944 · Core · 20% automatable

Inspect, test, and adjust completed units to ensure that units meet specifications, tolerances, and customer order requirements.

visual inspection — Installed assembly inspection needs physical access

Inspect installed components or assemblies.

#13946 · Core · 6% automatable

Position, align, and adjust parts for proper fit and assembly.

physical manipulation — Aligning parts for assembly needs hands and judgment

Align parts or workpieces to ensure proper assembly.

#13945 · Core · 5% automatable

Assemble parts or units, and position, align, and fasten units to assemblies, subassemblies, or frames, using hand tools and power tools.

physical manipulation — Aligning parts for assembly needs hands and judgment

Assemble electrical or electronic equipment. Align parts or workpieces to ensure proper assembly.

#13947 · Core · 10% automatable

Connect cables, tubes, and wiring, according to specifications.

physical manipulation — Connecting supply lines is physical fitting

Connect supply lines to production equipment or tools.

#13951 · Core · 28% automatable

Measure parts to determine tolerances, using precision measuring instruments such as micrometers, calipers, and verniers.

physical manipulation — Hands-on dimensional measurement of workpieces

Measure dimensions of completed products or workpieces to verify conformance to specifications.

#13949 · Core · 66% automatable

Read blueprints and specifications to determine component parts and assembly sequences of electromechanical units.

visual inspection — Blueprints need spatial reading, human verifies sequence

Review blueprints or other instructions to determine operational methods or sequences.

#13948 · Core · 12% automatable

Attach name plates and mark identifying information on parts.

physical manipulation — Marking workpieces is hands-on physical task

Mark products, workpieces, or equipment with identifying information.

#13950 · Core · 8% automatable

Disassemble units to replace parts or to crate them for shipping.

physical manipulation — Disassembly requires hands-on tool use

Disassemble equipment for maintenance or repair.

#13954 · Supplemental · 4% automatable

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

physical manipulation — Reshaping metal requires hands-on machining

Reshape metal workpieces to established specifications.

#13952 · Supplemental · 10% automatable

Clean and lubricate parts and subassemblies, using grease paddles or oilcans.

physical manipulation — Manual application of lubricants to workpieces

Clean workpieces or finished products. Apply lubricants or coolants to workpieces.

#13956 · Supplemental · 15% automatable

Operate or tend automated assembling equipment, such as robotics and fixed automation equipment.

physical manipulation — Hands-on control of industrial machinery in unstructured settings

Operate industrial equipment.

#13953 · Supplemental · 12% automatable

Drill, tap, ream, countersink, and spot-face bolt holes in parts, using drill presses and portable power drills.

physical manipulation — Drilling parts requires physical tool operation

Drill holes in parts, equipment, or materials.

#13957 · Supplemental · 10% automatable

Operate small cranes to transport or position large parts.

physical manipulation — Crane/hoist operation demands real-time physical control

Operate cranes, hoists, or other moving or lifting equipment.

#13955 · Supplemental · 4% automatable

Pack or fold insulation between panels.

physical manipulation — Electromechanical assembly requires hands-on fitting

Assemble electromechanical or hydraulic systems.

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Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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