Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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 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.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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 analysisContributing 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
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium 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
Helpers - Inst/Maint/Repair
Updated Quarterly • Last Update: 11/22/2025

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].

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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Median Wage
$38,860
Jobs (2024)
98,700
Growth (2024-34)
+2.3%
Annual Openings
11,800
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
Adjust, connect, or disconnect wiring, piping, tubing, and other parts, using hand or power tools.
Install or replace machinery, equipment, and new or replacement parts and instruments, using hand or power tools.
Disassemble broken or defective equipment to facilitate repair and reassemble equipment when repairs are complete.
Assemble and maintain physical structures, using hand or power tools.
Position vehicles, machinery, equipment, physical structures, and other objects for assembly or installation, using hand tools, power tools, and moving equipment.
Adjust, maintain, and repair tools, equipment, and machines, and assist more skilled workers with similar tasks.
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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