AI exposure by occupation, O*NET 51-2092.00
Will AI replace Team Assemblers?
Team Assemblers: AI can already handle 1 of 11 tasks; most of the work is hands-on, and the part AI can address mostly needs an efficient-tier model.
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Every task, scored
The 11 tasks O*NET 30.3 lists for Team Assemblers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Review work orders and blueprints to ensure work is performed according to specifications. | Estimated | Efficient | |
| Supervise assemblers and train employees on job procedures. | Estimated | Efficient | |
| Maintain production equipment and machinery. | Estimated | Efficient | |
| Perform quality checks on products and parts. | Estimated | No tier | |
| Provide assistance in the production of wiring assemblies. | Estimated | No tier | |
| Rotate through all the tasks required in a particular production process. | Estimated | No tier | |
| Complete production reports to communicate team production level to management. | Estimated | No tier | |
| Determine work assignments and procedures. | Estimated | No tier | |
| Package finished products and prepare them for shipment. | Estimated | No tier | |
| Shovel, sweep, or otherwise clean work areas. | Estimated | No tier | |
| Operate machinery and heavy equipment, such as forklifts. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 11 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 11 of 11. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 28% of the role's importance-weighted task work. 28% of the work is something AI can address at some tier, and 72% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
BLS Occupational Employment and Wage Statistics (May 2025) publishes no national employment or wage figure for this O*NET occupation.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Electrical and Electronic Equipment Assemblers 71% skill overlap, about 10 months to move Exposure29
- Engine and Other Machine Assemblers 71% skill overlap, about 11 months to move Exposure38
- Electromechanical Equipment Assemblers 67% skill overlap, about 12 months to move Exposure15
- Aircraft Structure, Surfaces, Rigging, and Systems Assemblers 64% skill overlap, about 13 months to move Exposure24
- Robotics Technicians 58% skill overlap, about 15 months to move Exposure26
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Team Assemblers and AI
Will AI replace Team Assemblers?
AI already handles 1 of the 11 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 21 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.
What is the AI exposure of Team Assemblers?
21 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 11 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 11 are estimated from each task's O*NET work activity.
Which Team Assemblers tasks can AI already do?
The tasks with the highest exposure are: Review work orders and blueprints to ensure work is performed according to specifications. It is the only task that reach 60 or more.
What AI model tier does this role need?
An efficient-tier model or lower covers 28% of the role's importance-weighted task work, and 72% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Team Assemblers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/team-assemblers
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