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 put together engines and machines by following instructions, making sure all parts fit correctly and work smoothly.
This role is evolving
This career is labeled as "Evolving" because while smart machines and robots are increasingly used to handle routine tasks like moving parts and checking for defects, there are still many complex tasks that require human skills. Assemblers are needed for custom wiring, fine fitting, and repairs, which machines can't fully replicate.
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 while smart machines and robots are increasingly used to handle routine tasks like moving parts and checking for defects, there are still many complex tasks that require human skills. Assemblers are needed for custom wiring, fine fitting, and repairs, which machines can't fully replicate.
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
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low 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
Engine/Machine Assemblers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In engine and machine assembly today, some routine tasks are increasingly handled by smart machines. For example, modern factories often use robots and autonomous carts to move heavy parts and weld components [1]. Vision systems and sensors are also used to check parts continually: special cameras and lasers can measure dimensions or spot defects on every piece as it comes off the line [2] [2].
These tools help ensure parts meet blueprints faster than manual gauging. However, not everything is automated. Complex steps like custom wiring, fine fitting, and on-the-spot repairs still rely on skilled workers.
In fact, studies find that robots usually remain teamwork partners – factories that add robots often still have many human assemblers on staff [1]. Machines tend to assist rather than fully replace workers, letting people focus on big-picture tasks.

AI in the real world
Automating assembly tasks depends a lot on costs and labor conditions. Robots and AI tools can be expensive up front, often costing tens or hundreds of thousands of dollars, while engine assemblers typically earn only about \$45K a year [3]. Over time though, companies see big savings: analysis shows using robots for moving parts or checking quality can cut costs dramatically [1].
In places with worker shortages, manufacturers are especially eager to adopt automation. For example, industry reports note that inquiries about robotics in factories have “quadrupled” recently as companies struggle to hire enough people [1] [1]. At the same time, firms must balance this with practical challenges: new systems require technician help and training (one source notes shifting to automation often brings “challenges ranging from cost to… retrain[ing] workers” [1]).
Labor unions generally don’t fight machines if they improve safety or reduce boring work [1]. Overall, AI and robots will change some assembler tasks, but human skills like problem-solving, adaptation and quality judgment will stay very important even in a high-tech factory [1].

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Median Wage
$52,540
Jobs (2024)
38,400
Growth (2024-34)
-21.1%
Annual Openings
2,800
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
Read and interpret assembly blueprints or specifications manuals and plan assembly or building operations.
Lay out and drill, ream, tap, or cut parts for assembly.
Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.
Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools.
Rework, repair, or replace damaged parts or assemblies.
Assemble systems of gears by aligning and meshing gears in gearboxes.
Set and verify parts clearances.
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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