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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Meter Readers, Utilities are much less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Meter reading is labeled "Vulnerable" because the single most important task in this job—physically visiting locations to read meters—is being replaced by smart meter technology that sends data automatically, and that shift is already more than 80% complete across North America. AI and machine learning are then layered on top to handle the analysis work, automatically detecting leaks, flagging tampering, and spotting problems that a human used to catch by walking a route.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is vulnerable
Meter reading is labeled "Vulnerable" because the single most important task in this job—physically visiting locations to read meters—is being replaced by smart meter technology that sends data automatically, and that shift is already more than 80% complete across North America. AI and machine learning are then layered on top to handle the analysis work, automatically detecting leaks, flagging tampering, and spotting problems that a human used to catch by walking a route.
Read full analysisAnalysis of Current AI Resilience
Meter Readers, Utilities
Updated Quarterly • Last Update: 5/14/2026

If you're worried about robots taking meter reading jobs, the honest truth is that this shift has been happening for years—but it's also opening doors to new kinds of utility work. The biggest force changing this career isn't a flashy new AI tool; it's a quiet upgrade called Advanced Metering Infrastructure (AMI), or "smart meters." The EPA explains that older technology required utilities to send meter readers to individual sites to physically read meters, but AMI meters now provide for remote collection of water use data in real time, which means the need to walk routes and punch numbers into a handheld is disappearing [1]. On the electric side, the U.S. Energy Information Administration reported about 119 million smart meter installations, equal to roughly 72% of total electric meters [2], and Utility Dive notes that at the end of 2023, more than 80% of utility meters (146 million) in North America are now smart meters, a milestone discussed in their 10-year grid modernization review [3].
AI is now layered on top: EY's late-2025 outlook on "next-gen AMI" [4] describes how AMI implementations need a robust technical foundation including modernized IT infrastructure to support advanced use cases such as artificial intelligence (AI), machine learning (ML) and real-time data analytics. These systems flag leaks, detect tampering, and spot anomalies automatically—work that used to require a human walking the route and inspecting seals.

Adoption is moving fast because the math works for utilities. IBM notes [5] that the ability to remotely manage meters not only eliminates the need for manual meter readings, but also enables faster response times in the event of a power outage—so utilities get lower labor costs and better service at the same time. Industry groups also see a labor shortage as a tailwind for automation: the American Water Works Association's workforce page [6] emphasizes that workforce strategies are a critical element of management in the water industry, including building resources to help attract, recruit, train, and retain talented and skilled employees, since utilities are struggling to replace retiring staff.
The good news for young people: humans are still essential for the harder parts of the job—inspecting damaged equipment, investigating tampering, handling dogs and locked gates, and now interpreting AI alerts. The Utility Dive review points out that even after a decade of progress, utilities still roll trucks with crews to identify the location of problems. Pure "meter reader" roles are shrinking, but field technician, AMI installer, and data-analyst-style utility jobs are growing.
If you're curious about this field, leaning into tech skills—data tools, electronics, customer service—turns a fading job into a more interesting and better-paid one.

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They check and record the readings on utility meters to help make sure customers are billed correctly for the electricity, gas, or water they use.
Median Wage
$49,180
Jobs (2024)
20,100
Growth (2024-34)
-12.0%
Annual Openings
1,300
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
Collect past-due bills.
Report to service departments any problems such as meter irregularities, damaged equipment, or impediments to meter access, including dogs.
Inspect meters for unauthorized connections, defects, and damage such as broken seals.
Walk or drive vehicles along established routes to take readings of meter dials.
Verify readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations.
Answer customers' questions about services and charges, or direct them to customer service centers.
Report lost or broken keys.
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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