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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: 4/23/2026
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.
Low
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
Assemblers and Fabricators, All Other are somewhat less resilient to AI impacts than most occupations, according to our analysis of 4 sources.
This career is labeled as "Somewhat Resilient" because while many heavy and repetitive tasks are being automated, human assemblers are still essential for delicate, precise work and quality checks. AI and robots often assist rather than replace workers, meaning those who can adapt to using these new tools will remain valuable.
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
This career is labeled as "Somewhat Resilient" because while many heavy and repetitive tasks are being automated, human assemblers are still essential for delicate, precise work and quality checks. AI and robots often assist rather than replace workers, meaning those who can adapt to using these new tools will remain valuable.
Read full analysisAnalysis of Current AI Resilience
Assemblers & Fabricators
Updated Quarterly • Last Update: 5/14/2026

If you're worried about whether robots will take assembler jobs, here's the honest picture: AI is changing how assembly work gets done, but humans are still very much part of the team. According to the National Association of Manufacturers' 2026 trends report [1], the industry is "shifting decisively toward operations that can sense, respond and optimize with minimal human intervention," and shop-floor operators are now spending more time "managing exceptions and validating system decisions rather than performing manual interventions." On the hardware side, Manufacturing Dive reports that physical AI is hitting an inflection point in 2026 [2], with carmakers like BMW and Audi piloting humanoid robots and a Deloitte survey finding that 58% of business leaders already use some form of physical AI alongside humans. Trade publication ASSEMBLY Magazine notes that robotics developers are specifically targeting high-variability assembly tasks [3]—the messy, changing work that used to be too tricky for old-school robots.

Adoption is speeding up but not overnight. PwC's 2026 industrial manufacturing outlook [2] found that executives expect advanced-technology use across operations to jump from 26% to 68% by 2030, driven by labor shortages and efficiency gains. But there are real brakes: one welding-robotics CEO told Manufacturing Dive that a demo working "70% of the time isn't really going to cut it"—factories need 99%+ reliability, so rollouts stay cautious.
Costs, cybersecurity risks, and skill gaps also slow things down. The good news for young workers: the U.S. Bureau of Labor Statistics projects about 198,800 assembler openings every year through 2034 [4], mostly to replace retirees. Hands-on judgment, problem-solving, and the ability to work alongside smart machines remain skills employers genuinely need.

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They build and put together different products, making sure all the parts fit right and work properly.
* 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

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