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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
Team Assemblers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Team assemblers land in the "Somewhat Resilient" category because robots and AI are genuinely making inroads on the factory floor — but not fast enough to wipe out the role anytime soon. Skills like adapting on the fly, solving unexpected problems, and working as part of a team are still really hard for machines to replicate, and Deloitte estimates over 81% of manufacturing task hours will still need a human touch through the near future.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Team assemblers land in the "Somewhat Resilient" category because robots and AI are genuinely making inroads on the factory floor — but not fast enough to wipe out the role anytime soon. Skills like adapting on the fly, solving unexpected problems, and working as part of a team are still really hard for machines to replicate, and Deloitte estimates over 81% of manufacturing task hours will still need a human touch through the near future.
Read full analysisAnalysis of Current AI Resilience
Team Assemblers
Updated Quarterly • Last Update: 5/14/2026

If you're considering work as a team assembler, here's the honest picture: AI is mostly augmenting — not replacing — assembly workers right now, though robotics is steadily reducing the number of hands needed on factory floors. The U.S. Bureau of Labor Statistics notes that "improved processes, tools, and automation will reduce job growth" and that "assemblers and fabricators are increasing efficiency by working alongside robots, also known as 'collaborative robotics,' which may reduce the demand for some assemblers and fabricators" [1]. The clearest AI wins so far are in quality inspection: at Audi's Ingolstadt plant, for example, AI is being used to "improve productivity and quality" [2] on the line.
Real-world humanoid pilots are also emerging — BMW reported that Figure AI robots "logged over 1,250 hours at Spartanburg, moving more than 90,000 parts in 10 months" [3] before expanding the test to Germany. Still, Deloitte's 2026 Manufacturing Outlook estimates "more than 81% of task hours in manufacturing are expected to remain human-driven" [4], because skills like adaptability, teamwork, and on-the-spot problem-solving — exactly what team assemblers rotate through every shift — are still hard for machines.

Adoption is happening, but slower than headlines suggest. On the fast side, the International Federation of Robotics reported 542,000 industrial robots installed in 2024, "more than double the number 10 years ago" [5], and Deloitte found that 22% of manufacturers plan to deploy "physical AI" within two years — a more than twofold increase from today [4], driven by labor shortages and the productivity payoff. On the slow side, Assembly Magazine reports that during the next two years, "fewer than 20 manufacturers are expected to deploy humanoids in their factories or warehouses," with most applications limited to tightly controlled environments [2].
High capital costs, safety standards built for fenced-off robots, and the messy variety of real assembly tasks all slow rollout. Importantly, the industry is investing in people: the Manufacturing Institute, NAM's workforce affiliate, is rolling out new "AI 101 for Manufacturing" courses because, as MI President Carolyn Lee put it, "as new technologies are introduced, it is essential to ensure our workers build the skills needed to engage" [6] [6]. The BLS projects assemblers and fabricators overall will decline just 1% from 2024–2034, with electrical and electronic assembler roles actually growing 5% [1] thanks to EV batteries and semiconductors.
Translation for you: this career isn't disappearing — it's changing. Workers who learn to team up with cobots and AI tools will likely be the most valuable on tomorrow's shop floor.

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They put together parts to make products, working closely with others to ensure everything fits and works correctly.
* Data estimated from parent occupation
Median Wage
$42,210
Jobs (2024)
1,467,100
Growth (2024-34)
-0.1%
Annual Openings
156,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Supervise assemblers and train employees on job procedures.
Operate machinery and heavy equipment, such as forklifts.
Review work orders and blueprints to ensure work is performed according to specifications.
Rotate through all the tasks required in a particular production process.
Provide assistance in the production of wiring assemblies.
Shovel, sweep, or otherwise clean work areas.
Determine work assignments and procedures.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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