Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

30.4%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

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

Engine and Other Machine Assemblers

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.

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Learn more about how you can thrive in this position

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Chat with Coach
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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 analysis

Contributing 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

Learn about this score
Evolving iconEvolving

31.7%

31.7%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

64.2%

64.2%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

15.1%

15.1%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

-21.1%

Growth Percentile:

1.0%

Annual Openings:

2,800

Annual Openings Pct:

27.8%

Analysis of Current AI Resilience

Engine/Machine Assemblers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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].

Sources

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More Career Info

Career: Engine and Other Machine Assemblers

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

70% ResilienceCore Task

Read and interpret assembly blueprints or specifications manuals and plan assembly or building operations.

2

65% ResilienceCore Task

Lay out and drill, ream, tap, or cut parts for assembly.

3

60% ResilienceCore Task

Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.

4

60% ResilienceCore Task

Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools.

5

55% ResilienceCore Task

Rework, repair, or replace damaged parts or assemblies.

6

55% ResilienceSupplemental

Assemble systems of gears by aligning and meshing gears in gearboxes.

7

50% ResilienceCore Task

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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