Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
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.
This role is changing fast
The career of a meter reader in utilities is "Changing fast" because technology is taking over many of the routine tasks, like reading and recording meter data. Smart meters now automatically send usage information, reducing the need for manual readings.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
The career of a meter reader in utilities is "Changing fast" because technology is taking over many of the routine tasks, like reading and recording meter data. Smart meters now automatically send usage information, reducing the need for manual readings.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low 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
Meter Readers, Utilities
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today many routine meter-reading tasks are being taken over by technology. Modern “smart” electric, gas, and water meters often record usage automatically and send it over the network, so meters no longer need to be read by hand [1]. For example, utilities now install devices that transmit readings directly into their systems, replacing the old practice of walking routes and later uploading data from handheld computers [1].
In other words, the most repetitive parts – reading dials and entering numbers – are largely automated. However, some parts of the job still need people. Inspecting a meter for damage or illegal connections and helping confused customers are harder to automate.
These tasks rely on human judgment, so meter readers may shift toward problem‐solving roles. In practice, core data-collection steps are done by sensors, while complex checks and customer service remain human jobs [1].

AI in the real world
How fast AI and smart systems take over depends on costs, benefits, and trust. Smart meters and reading software are commercially available, but utilities must weigh the purchase and installation cost against saving on labor. If meter readers are hard to hire or expensive, companies will adopt automation more quickly.
Conversely, where labor is cheap or limited by regulation, change may be slower. Also important are rules and opinions: for example, regulators in some countries mandate smart‐meter rollouts, while some customers worry about data privacy from connected devices. In any case, while routine monitoring can be done by machines for efficiency, people are still needed to handle exceptions and explain bills.
Analysts note that successful meter-reading combines tech and human skill – automation handles the boring data work, but the human touch is needed for questions and unusual problems [1].

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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
Update client address and meter location information.
Answer customers' questions about services and charges, or direct them to customer service centers.
Collect past-due bills.
Inspect meters for unauthorized connections, defects, and damage such as broken seals.
Report lost or broken keys.
Report to service departments any problems such as meter irregularities, damaged equipment, or impediments to meter access, including dogs.
Verify readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations.
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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