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 machines by connecting electrical and mechanical parts, making sure everything works correctly.
This role is evolving
The career of Electromechanical Equipment Assemblers is labeled as "Evolving" because many of the tasks, such as lifting and fastening parts, are increasingly being done by robots and collaborative robots (cobots). While machines are taking over repetitive and heavy tasks, humans are still needed for complex jobs like connecting wires, which machines find difficult.
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
The career of Electromechanical Equipment Assemblers is labeled as "Evolving" because many of the tasks, such as lifting and fastening parts, are increasingly being done by robots and collaborative robots (cobots). While machines are taking over repetitive and heavy tasks, humans are still needed for complex jobs like connecting wires, which machines find difficult.
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
Anthropic's Economic Index
AI 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
Electromech Equip Assembler
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today, factories already use many machines to help assemble parts. For example, robotic arms and collaborative robots (cobots) can lift and fasten heavy pieces and align parts precisely. Industry experts note “demand for robotics and automation technologies is accelerating” as companies seek to stay competitive [1].
In fact, research shows cobots are becoming more common – one study projects cobots will rise from about 5% of robot sales in 2018 to 13% by 2022 [2] – because they’re safer and easier to program. These robots can save time on repetitive tasks like screwing together metal frames or drilling holes (some models can even move kettlebells or parts on pallets, as trade shows have demonstrated [1]).
However, not all tasks are automated yet. For example, connecting wires and cables is still largely done by hand. Cables bend and flop in unpredictable ways, making them hard for machines to handle.
Scientists call automating multi-branch wire-harness assembly “a formidable task” [3]. One technical review explains cable assembly in control cabinets is mostly manual today, since cables have no fixed shape [2]. New AI vision tools are emerging to help robots “see” and guide bent wires, but for now humans with careful hands do most of this work [2] [3].
Some small tasks are easier to automate. Attaching nameplates or labels can be done by stamping machines or printers. And for training and guidance, factories are experimenting with smart tools.
For instance, augmented reality (AR) headsets can show workers where each part goes. A recent study found that AR training helped people learn assembly steps better than old paper instructions [3]. In short, machines already do many assembly steps (especially with rigid parts), while humans still do the trickier, flexible tasks.
Together, workers and “smart” machines make the process smoother [1] [2].

AI in the real world
Whether a company adopts AI and robots quickly depends on costs and needs. Big manufacturers that make lots of identical units stand to save the most. Today’s robots are becoming cheaper and smaller, so it’s easier to add them to the line [2] [1].
A report notes that using automation and industrial robots can boost productivity and competitiveness for a company [2]. In places where wages are higher or it's hard to find enough skilled assemblers, the investment in robots pays off faster. For example, improved cobots that work safely alongside people help lighten heavy work and reduce mistakes, so some firms install them to keep up with demand [2] [2].
On the other hand, some companies move slowly to automation because of cost or technical hurdles. A full robot cell (arms, vision, programmers) can cost tens of thousands of dollars. If a factory makes only small batches or very customized products, spending that much may not make sense.
As one study found, today only a few specialized machines exist for tasks like complete wire harness assembly [2], and they often handle only limited cable sizes. So for now, many wires and fine adjustments still need people. Socially, there can be resistance too – workers may fear losing jobs or feel unsure about new tech.
Modern cobots are designed to assist rather than replace humans [2], and clear safety rules help everyone feel secure.
Overall, adoption is growing but carefully. Firms balance the upfront cost against savings over time. By adding AI and robots to handle the heavy lifting or precise repetition, humans can focus on what they do best – solving problems, inspecting quality, and adapting when things change.
This hopeful mix of people and machines means assemblers will still have valuable jobs, even as tools get smarter [2] [3].

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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
Read blueprints and specifications to determine component parts and assembly sequences of electromechanical units.
Operate or tend automated assembling equipment, such as robotics and fixed automation equipment.
Measure parts to determine tolerances, using precision measuring instruments such as micrometers, calipers, and verniers.
Attach name plates and mark identifying information on parts.
Pack or fold insulation between panels.
Disassemble units to replace parts or to crate them for shipping.
Inspect, test, and adjust completed units to ensure that units meet specifications, tolerances, and customer order requirements.
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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