Somewhat Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

48.1%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forHelpers--Installation, Maintenance, and Repair Workers

Helpers--Installation, Maintenance, and Repair Workers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.

This career is labeled as "Somewhat Resilient" because while AI and robots can automate some repetitive tasks like moving and lifting, many complex duties still need human skills. Tasks like repairing machines and making quick decisions on the spot are challenging for robots and rely on human judgment and dexterity.

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This role is somewhat resilient

This career is labeled as "Somewhat Resilient" because while AI and robots can automate some repetitive tasks like moving and lifting, many complex duties still need human skills. Tasks like repairing machines and making quick decisions on the spot are challenging for robots and rely on human judgment and dexterity.

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Analysis of Current AI Resilience

Helpers - Inst/Maint/Repair

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Helpers - Inst/Maint/Repair jobs?

In many shops and warehouses, some helper tasks are already being done with smart machines or AI support. For example, big warehouses use robot carts that automatically carry bins of parts and tools to workers [1]. In factories, robotic arms and forklifts can stack or move heavy equipment, even loading and unloading trucks and placing goods on pallets [2].

These machines handle repetitive moving and lifting, while people oversee them. Companies also use sensors and AI software to watch machines (called “predictive maintenance”): for instance, equipment can have vibration or temperature sensors that alert a human technician before something breaks.

At the same time, many helper duties remain too complex for robots. Tasks like taking apart a broken machine for repair still rely on skilled helpers. (Researchers have built test robots that can disassemble machines on assembly lines [3], but that technology is mostly in labs.) Likewise, installing or positioning odd-shaped equipment needs human judgment. Experts point out that robots still “struggle” with picking the right item from a mixed pile – something almost any person can do easily [2].

In short, routine moving and monitoring tasks are increasingly automated, but hands-on repair, assembly, and decision-making are still done by people.

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AI Adoption

How fast is AI adoption growing for Helpers - Inst/Maint/Repair?

Adopting AI and robots depends on cost and benefit. In favor of automation, machines can work nonstop and be very efficient. For example, Amazon tested a warehouse robot that unloads twice as many packages per hour as a person and “doesn’t call in sick” [2].

With about 1.8 million U.S. workers in these roles [2], companies with tight labor markets may welcome robots to help with shortages. On the other hand, installation and repair work is unpredictable and often requires flexibility. As one report noted, even advanced robots can’t yet match humans at simple appraisals like grabbing the right part from a bin [2].

Because of these challenges – plus the high price of equipment and training – most firms move slowly. The U.S. Bureau of Labor Statistics observes that helper jobs themselves haven’t really shrunk due to automation (any changes were mostly technical coding shifts) [4].

Overall, AI can make helper work more efficient (by speeding up heavy lifting or giving maintenance alerts), but human skills remain crucial. Young people entering this field can learn to work with these new tools. Technology may change how the job is done, but it still needs the flexibility, problem-solving, and safety judgment that people provide [2] [4].

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More Career Info

Career: 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.

Employment & Wage Data

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

Task-Level AI Resilience Scores

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

1

95% ResilienceCore Task

Hold or supply tools, parts, equipment, and supplies for other workers.

2

94% ResilienceCore Task

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

3

94% ResilienceCore Task

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

4

93% ResilienceCore Task

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

5

93% ResilienceCore Task

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

6

93% ResilienceSupplemental

Prepare work stations for use by mechanics and repairers.

7

92% ResilienceCore Task

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

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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