BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

54.9%

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

Helpers--Installation, Maintenance, and Repair Workers

They assist skilled workers by carrying tools, holding materials, and cleaning up, helping to fix or install things like machines or equipment.

Summary

This career is labeled as "Evolving" because AI is starting to change how installation, maintenance, and repair helpers do their jobs. While many tasks still need human skill and judgment, like fixing broken parts, AI tools are being used to make work faster and safer.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info

Summary

This career is labeled as "Evolving" because AI is starting to change how installation, maintenance, and repair helpers do their jobs. While many tasks still need human skill and judgment, like fixing broken parts, AI tools are being used to make work faster and safer.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

47.5%

47.5%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

86.0%

86.0%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

38.4%

38.4%

Medium Demand

Labor Market Outlook

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

Learn about this score

Growth Rate (2024-34):

2.3%

Growth Percentile:

44.4%

Annual Openings:

11.8

Annual Openings Pct:

56.5%

Analysis of Current AI Resilience

Helpers - Inst/Maint/Repair

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Helpers in installation and repair still mostly use people, but some tools and AI are starting to help. For example, instead of a person always checking machinery for defects, factories use smart sensors and cameras with AI dots to catch problems early [1]. This “predictive maintenance” means a computer can watch machines and warn us about trouble before it breaks.

In large warehouses, small autonomous vehicles and robots already carry parts and tools from place to place, easing the helper’s job of hauling supplies. Cleaning robots are also used in some factories to wash floors or equipment (think of a big smart Roomba) – though most of the cleaning and oiling of machines is still done by people right now.

Other tasks remain harder for machines. Building or positioning heavy equipment often requires judgment and dexterity that robots can’t match easily. Adjusting and fixing a broken part usually needs a human’s fine hand and experience.

As one industry review notes, modern maintenance staff often work side-by-side with collaborative robots and wearables (like AR glasses) to improve their work [2]. In short, many helpers’ tasks are being augmented by machines (to make the work faster or safer), but the core job still relies on human skill [1] [2].

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AI Adoption

AI Adoption

Whether more AI comes into these jobs depends on costs and needs. Highly automated tools do exist (for example, AI-based inspection cameras and self-driving forklifts), but they are expensive and best suited to big plants with lots of production. If a factory can hire enough helpers cheaply, there’s less pressure to replace them with robotics.

However, if skilled workers are hard to find or if robots can save downtime, factories will invest in automation [3]. Right now, most companies use AI to help workers rather than fully replace them.

Social and legal factors also matter. People tend to accept robots doing heavy lifting or dangerous tasks, but they trust humans for tricky fixes and safety checks. For example, experts emphasize that Industry 4.0 (smart factories) will blend human and machine work [3].

In short, adoption is happening step by step: technology that clearly helps (like letting a robot move parts so a person doesn’t hurt their back) will grow, but many helper tasks will stay human-driven for now. This means helpers can look forward to learning new tech tools without being completely replaced [2] [3].

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More Career Info

Task-Level AI Resilience Scores

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

1

65% ResilienceCore Task

Adjust, connect, or disconnect wiring, piping, tubing, and other parts, using hand or power tools.

2

65% ResilienceCore Task

Install or replace machinery, equipment, and new or replacement parts and instruments, using hand or power tools.

3

65% ResilienceCore Task

Disassemble broken or defective equipment to facilitate repair and reassemble equipment when repairs are complete.

4

65% ResilienceCore Task

Assemble and maintain physical structures, using hand or power tools.

5

65% ResilienceCore Task

Position vehicles, machinery, equipment, physical structures, and other objects for assembly or installation, using hand tools, power tools, and moving equipment.

6

65% ResilienceCore Task

Adjust, maintain, and repair tools, equipment, and machines, and assist more skilled workers with similar tasks.

7

65% ResilienceSupplemental

Diagnose electrical problems and install and rewire electrical components.

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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