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AI Automation Index
Will AI Replace Meter Readers, Utilities?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Meter Readers, Utilities. Run the upskilling simulator.
AI Vulnerability
46%
risk score
Median Salary
$48,150 / year
Growth Demand
Low
Constituent Task Mix
We parsed O*NET's 12 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 17%
Medium Automation Risk (Cognitive/Technical) 58%
Low Automation Risk (Strategy/Leadership) 25%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Read electric, gas, water, or steam consumption meters and enter data in route books or hand-held computers.
Routine cognitive or manual task with high vulnerability to automation.
Upload into office computers all information collected on hand-held computers during meter rounds, or return route books or hand-held computers to business offices so that data can be compiled.
Semi-structured task combining routine and non-routine responsibilities.
Walk or drive vehicles along established routes to take readings of meter dials.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Inspect meters for unauthorized connections, defects, and damage, such as broken seals.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Verify readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations.
Routine cognitive or manual task with high vulnerability to automation.
Report to service departments any problems, such as meter irregularities, damaged equipment, or impediments to meter access, including dogs.
Semi-structured task combining routine and non-routine responsibilities.
Leave messages to arrange different times to read meters in cases in which meters are not accessible.
Semi-structured task combining routine and non-routine responsibilities.
Connect and disconnect utility services at specific locations.
Semi-structured task combining routine and non-routine responsibilities.
Answer customers' questions about services and charges, or direct them to customer service centers.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Update client address and meter location information.
Semi-structured task combining routine and non-routine responsibilities.
Perform preventative maintenance or minor repairs on meters.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Report lost or broken keys.
Semi-structured task combining routine and non-routine responsibilities.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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