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 set up and fix control systems and valves to make sure machines and equipment work safely and efficiently.
Summary
This career is labeled as "Evolving" because while many data-related tasks like meter reading are now automated with smart technology, hands-on tasks like valve maintenance and repairs still need human skills. AI and smart systems are being integrated to help with data and system monitoring, but human expertise in problem-solving, safety, and manual work remains crucial.
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 while many data-related tasks like meter reading are now automated with smart technology, hands-on tasks like valve maintenance and repairs still need human skills. AI and smart systems are being integrated to help with data and system monitoring, but human expertise in problem-solving, safety, and manual work remains crucial.
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
Control & Valve Installers
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Many of the data-related tasks in this field have already become automated. For example, utilities now use “smart” meters and two-way communication so they automatically send readings back to the company [1]. This means workers no longer have to visit a home or meter site to record meter readings or enter data by hand.
As one utility manager explained, two-way smart grids let the company “communicate with [meters] every two to four hours,” eliminating the need for human meter readers [1]. In practice, meter-reading jobs have shrunk: the U.S. Bureau of Labor Statistics counted about 24,000 utility meter-readers in 2021 [2], and that number is likely falling as meters get smart. Likewise, turning service on/off or adjusting flows is often done through remote controls and sensors now.
Many gas and water valves are hooked to computerized systems (PLC/SCADA) that let someone control or relax a valve from a control room [3]. O*NET (a U.S. job database) even lists industrial control software (like PLC/SCADA) as a “hot technology” in this job [3]. In short, machines and networks do tasks like meter-reading and flow-monitoring, so technicians spend more time overseeing systems than writing on cards.
By contrast, the hands-on tasks remain largely manual. O*NET explicitly notes tasks like disconnecting or removing bad meters and disassembling valves using hand tools and cutting torches [3] [3]. Technicians still have to climb in confined spaces, use wrenches and torches, and apply oil to lubricate moving parts [3] [3].
These tasks require physical strength, fine motor skills, and on-site judgment – things robots or AI can’t easily do yet. In short, meter reading and data counting are mostly automated, but mechanical repairs and servicing remain squarely in the human domain.

AI Adoption
Whether companies rush to add AI in this field depends on many factors. Cost and benefits play a big role. Smart meters and remote-control valves require expensive equipment and networks. Utilities invested in these over years, often with government support, because long-term savings (fewer meter-reader salaries) make sense.
But for a small gas utility or a water district, it may be cheaper today to have people turn and fix valves than to buy a fleet of robots or AI systems. Moreover, labor for these jobs isn’t extremely high-paid – the average utility meter reader made about $45,000/year in 2021 [2] – so the savings from automation are moderate. If wages stay modest, some companies may adopt AI more slowly.

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Median Wage
$74,690
Jobs (2024)
47,700
Growth (2024-34)
+1.3%
Annual Openings
3,900
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
Splice and connect cables from meters or current transformers to pull boxes or switchboards, using hand tools.
Disassemble and repair mechanical control devices or valves, such as regulators, thermostats, or hydrants, using power tools, hand tools, and cutting torches.
Install regulators and related equipment such as gas meters, odorization units, and gas pressure telemetering equipment.
Attach air hoses to meter inlets, plug outlets, and observe gauges for pressure losses to test internal seams for leaks.
Dismantle meters, and replace or adjust defective parts such as cases, shafts, gears, disks, and recording mechanisms, using soldering irons and hand tools.
Connect hoses from provers to meter inlets and outlets, and raise prover bells until prover gauges register zero.
Investigate instances of illegal tapping into service lines.
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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