Will AI replace team assemblers?AI replacement risk 45% 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

45/100

★★☆☆☆ Average

AI replacement risk

45%

Moderate

Job growth (10 yr)

—

BLS projections

Will AI replace Team Assemblers? AI replacement risk

45%

Moderate

Ranked #442 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 Team Assemblers

Key skills

Coordination

3.2

Operations Monitoring

3.0

Active Listening

3.0

Speaking

3.0

Social Perceptiveness

3.0

Monitoring

3.0

Quality Control Analysis

3.0

Instructing

2.9

O*NET skill level ratings (0–7).

Key knowledge areas

Mechanical

4.3

Production and Processing

4.1

Education and Training

4.1

Engineering and Technology

3.8

Computers and Electronics

3.8

English Language

3.5

Public Safety and Security

3.2

Design

3.2

What the work involves

Handling and Moving ObjectsControlling Machines and ProcessesMonitoring Processes, Materials, or SurroundingsIdentifying Objects, Actions, and EventsInspecting Equipment, Structures, or MaterialsEstablishing and Maintaining Interpersonal RelationshipsMaking Decisions and Solving ProblemsGetting Information

Important abilities

Oral ComprehensionNear VisionFinger DexterityInformation OrderingManual DexterityFar Vision

Education of workers

High school diploma

81%

Bachelor's degree

Some college

Less than high school

Training before entry

1–3 months

30%

None / short demo

18%

3–6 months

17%

1–2 years

15%

Up to 1 month

10%

6–12 months

4–10 years

Related work experience

None

39%

1–2 years

18%

3–6 months

13%

2–4 years

4–6 years

6–12 months

Up to 1 month

1–3 months

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

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

Related occupations

	Occupation	Pay	Outlook	AI risk
1	Maintenance and Repair Workers, General Perform work involving the skills of two or more maintenance or craft occupations to keep machines, mechanical equipment, or the structure of a building in repair.	$49,590	60/100	26%
2	Automotive Service Technicians and Mechanics Diagnose, adjust, repair, or overhaul automotive vehicles.	$50,620	61/100	27%
3	First-Line Supervisors of Production and Operating Workers Directly supervise and coordinate the activities of production and operating workers, such as inspectors, precision workers, machine setters and operators, assemblers, fabricators, and plant and system operators.	$74,450	50/100	47%
4	First-Line Supervisors of Mechanics, Installers, and Repairers Directly supervise and coordinate the activities of mechanics, installers, and repairers.	$79,860	58/100	38%
5	Inspectors, Testers, Sorters, Samplers, and Weighers Inspect, test, sort, sample, or weigh nonagricultural raw materials or processed, machined, fabricated, or assembled parts or products for defects, wear, and deviations from specifications.	$48,570	45/100	55%
6	Industrial Machinery Mechanics Repair, install, adjust, or maintain industrial production and processing machinery or refinery and pipeline distribution systems.	$64,520	74/100	26%

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.