Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They build and put together parts for things like computers and phones, making sure all the electronic pieces fit and work correctly.
This role is evolving
This career is labeled as "Evolving" because many repetitive and physically demanding tasks in electrical and electronic equipment assembly are being automated by robots and machines. While jobs involving delicate work on specialized electronics still need human hands, advances in AI and robotics could automate more of these tasks in the 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 evolving
This career is labeled as "Evolving" because many repetitive and physically demanding tasks in electrical and electronic equipment assembly are being automated by robots and machines. While jobs involving delicate work on specialized electronics still need human hands, advances in AI and robotics could automate more of these tasks in the future.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Electrical/Electronic Assembler
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In modern factories, many repetitive assembly jobs are done with machines or robots. For example, the U.S. Bureau of Labor Statistics (BLS) explains that physically hard tasks – like tightening big bolts or moving heavy parts – “have been automated or made easier” with robots and powered tools [1]. Today robotic arms and conveyor systems often do the heavy lifting and repetitive fastening.
Some factories even use smart cameras and AI-guided “cobots” to help align parts. However, work on small or custom electronic devices still usually needs humans. The BLS notes that in industries making specialized electronics (such as medical or military equipment), much assembly “must be done by hand” [1], because machines can’t easily handle the fine details.
In short, things like cleaning parts and basic drilling are often done by machines, but delicate wiring, testing, and explaining fixes to a team still rely on people [1] [1]. Experts also report that new AI techniques are making robots smarter. For instance, advances in machine learning let robots adapt to small changes in parts, which could help automate even more assembly steps in the future [2].
Right now, technology mostly augments human assemblers – taking on the hardest or most repetitive parts – while skills like troubleshooting and communicating with engineers stay with people.

AI in the real world
Whether factories rush to use AI depends on costs and needs. In general, companies push for robots when workers are hard to find or expensive. News reports say labor shortages – especially for repetitive, heavy, or hazardous tasks – are motivating employers to try more robotics and AI [3].
At the same time, automation equipment is expensive. Experts warn that unless labor costs go up, firms may delay buying new robots [2]. For example, one analysis notes that higher U.S. wages or trade rules could make automation more attractive, but boosting tariffs might also make robots pricier in the short run [2] [2].
Studies also caution that advanced humanoid robots still cost a lot of money and energy to run, so broad adoption is “neither guaranteed nor imminent” [3].
In practice, adoption is gradual. Many factories already use industrial robots for simple assembly, but they add AI only when it clearly pays off. Safety and labor regulations in manufacturing generally allow automation, and people often welcome machines that handle unsafe or unpleasant tasks.
Socially, some reports emphasize that robots fill jobs “people don’t want,” easing labor gaps [3] [3]. The BLS projects only a small drop in jobs (about 1% by 2034) for assemblers [1], mostly from retirements, suggesting companies will still hire people for the tasks machines cannot do. Overall, AI can make assembly faster and boost output, but human skills – like problem-solving, manual dexterity, and teaching others – remain important and irreplaceable.

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* Data estimated from parent occupation
Median Wage
$44,210
Jobs (2024)
273,600
Growth (2024-34)
+4.1%
Annual Openings
30,700
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Explain assembly procedures or techniques to other workers.
Fabricate or form parts, coils, or structures according to specifications, using drills, calipers, cutters, or saws.
Confer with supervisors or engineers to plan or review work activities or to resolve production problems.
Distribute materials, supplies, or subassemblies to work areas.
Paint structures as specified, using paint sprayers.
Read and interpret schematic drawings, diagrams, blueprints, specifications, work orders, or reports to determine materials requirements or assembly instructions.
Drill or tap holes in specified equipment locations to mount control units or to provide openings for elements, wiring, or instruments.
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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