🔧

Helpers--Installation Maintenance and Repair Workers

Installation Maintenance and Repair Occupations
Feb 15
MODERATE

What They Do

Help installation, maintenance, and repair workers in maintenance, parts replacement, and repair of vehicles, industrial machinery, and electrical and electronic equipment. Perform duties such as furnishing tools, materials, and supplies to other workers

Employment Impact

United States

101.9K

People employed

Estimated Global

2M

Estimated global impact (extrapolated from US market data)

AI Impact Overview

AI and automation technologies are expected to gradually impact helpers in installation, maintenance, and repair jobs. While core manual and physical tasks remain resistant, routine and diagnostic elements could be automated, affecting entry roles the most.

AI Analysis

Detailed Analysis

This occupation involves significant hands-on, site-based, and physically demanding tasks, such as assisting skilled workers, transporting tools, and handling materials. Such activities are less susceptible to full automation. However, AI-enhanced diagnostics, smart tools, and predictive maintenance systems will enable skilled workers to operate with fewer helpers. Junior helpers are at higher risk as the simplest, most repetitive tasks are easiest to automate. Upskilling and transitioning to more specialized or supervisory roles offer the best defense.

Opportunity

"By embracing reskilling and adapting to the integration of AI tools, workers in these roles can future-proof their careers and find new opportunities in the evolving maintenance and repair landscape."

YOUR PERSONALIZED PLAN

Action Plan Ready

Get your customized step-by-step roadmap to stay ahead of AI disruption in Helpers--Installation Maintenance and Repair Workers.

Actionable Steps
Progress Tracking
Expert Resources

AI Risk Assessment

Risk level varies by experience level

J

Junior Level

HIGH

Junior helpers performing basic, repetitive tasks face automation risk from AI-enabled smart tools and robotics.

M

Mid-level

MODERATE

Mid-level helpers with some specialized skills or responsibilities can mitigate risk by learning how to operate and maintain AI-driven equipment.

S

Senior Level

LOW

Senior or supervisory helpers who combine hands-on ability with organizational or technical oversight skills will see the least disruption, as AI often augments but does not fully replace their work.

AI-Driven Job Forecasts

2 Years

Near-term Outlook

Job Outlook

Job numbers likely stable, with minor AI influence; adoption of basic smart tools begins.

Transition Strategy

Learn to operate AI-assisted equipment; take short courses on safety protocols for automated environments.

5 Years

Medium-term Impact

Job Outlook

Increasing AI use for diagnostics and scheduling will reduce demand for some helper roles; upskilled workers in demand.

Transition Strategy

Gain certifications in predictive maintenance, basic robotics, or machine diagnostics; seek mentorships with advanced technicians.

7+ Years

Long-term Vision

Job Outlook

Routine and manual roles mostly automated; new roles open in AI system oversight and advanced troubleshooting.

Transition Strategy

Pursue advanced certifications, cross-train into fields like IoT device installation or energy system maintenance, or move into supervisory roles.

Industry Trends

Aging Infrastructure Investments

Impact:

Expanded opportunities for workers skilled in both traditional and digital maintenance.

Emphasis on Energy Efficiency and Sustainability

Impact:

Preference for upskilled workers knowledgeable about green technologies and regulations.

Expansion of Smart Building Technology

Impact:

Rising demand for familiarity with IoT and smart sensors in facility management.

Growth of Predictive Maintenance

Impact:

Increasing use of AI-powered tools to schedule and perform maintenance based on real-time data.

Increase in Safety and Compliance Standards

Impact:

Higher priority on safety certification, reducing risk of workplace accidents.

Increased Data Driven Decision Making

Impact:

More roles require capability to interpret analytics and work with AI-generated reports.

Integration of Robotics for Routine Tasks

Impact:

Automation of repetitive or hazardous jobs, with helpers supporting more complex, non-routine tasks.

Remote Diagnostics and AR Guided Repairs

Impact:

Decreased need for routine manual inspections, shifting focus to more technical troubleshooting.

Rise in Contracted and Gig Work

Impact:

Shift toward flexible working arrangements and small business opportunities.

Workforce Reskilling Initiatives

Impact:

Growth in employer-sponsored training for advanced technical and digital skills.

AI-Resistant Skills

Complex Problem Solving

World Economic Forum Future of Jobs Report 2023
Skills Type:
Critical Thinking, Engineering Design
Learn More
Score:9/10

Manual Dexterity

U.S. Bureau of Labor Statistics — Occupational Outlook
Skills Type:
Physical/Hands-on Skill
Learn More
Score:10/10

Customer Service Skills

U.S. Bureau of Labor Statistics — Customer-Facing Roles
Skills Type:
CommunicationProblem-Solving
Learn More
Score:7/10

Alternative Career Paths

💻

Building Automation Specialist

Focuses on the implementation and management of automated building systems.

Relevance: Directly aligns with AI and IoT technology adoption trends.

💻

Sustainability Coordinator

Promotes and implements sustainable practices in food production and processing companies.

Relevance: Innovative, aligns with environmental and regulatory trends.

💼

Safety and Compliance Officer

Ensures facility adherence to safety and regulatory standards.

Relevance: Emphasizes regulatory knowledge and on-site safety oversight.

Emerging AI Tools Tracker

UpKeep
AI-powered maintenance management and scheduling.
IMPACT:
8/10
ADOPTION:
Current
Rising among facilities with digital CMMS
IBM Maximo
Asset management platform leveraging AI for predictive maintenance, work automation, and analytics.
IMPACT:
9/10
ADOPTION:
2-3 years
Mature adoption in enterprise manufacturing and utilities.
Fluke Connect
Wireless tool ecosystem for equipment diagnostics and predictive maintenance using AI insights.
IMPACT:
8/10
ADOPTION:
2-4 years
Popular in electrical and mechanical maintenance.

Full AI Impact Report

Access the full AI impact report to get detailed insights and recommendations.

Was this helpful?

Help us improve by rating this occupation analysis

Share This Content

Share this with others who might find it useful.