74
/100

SOC 43-5041

Meter Readers, Utilities

High RiskFrey/Osborne: 85.0%

Risk Score

โš ๏ธ

74/100

High Risk

US Employment

๐Ÿ‘ฅ

19,620

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$34K โ€“ $86K

Projected Growth

๐Ÿ“ˆ

-12%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Meter Readers, Utilities face a risk score of 74/100 โ€” 30 points above the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 74/100, Meter Readers, Utilities faces significant automation pressure. Key threats include intelligent document processing and ocr automation and smart form extraction replacing manual data processing. The 19,620 Americans in this role should actively develop skills in building trust-based relationships with executives and coordinating complex multi-party events and logistics to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Meter Readers, Utilities?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Intelligent document processing and OCR automation

2

Smart form extraction replacing manual data processing

3

AI scheduling and calendar management assistants

4

Robotic process automation of data entry workflows

5

Automated invoice and expense processing

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Building trust-based relationships with executives

โœ“

Coordinating complex multi-party events and logistics

โœ“

Managing sensitive interpersonal workplace situations

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Read electric, gas, water, or steam consumption meters and enter data in route books or hand-held computers.

โ€ข

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.

โ€ข

Walk or drive vehicles along established routes to take readings of meter dials.

โ€ข

Inspect meters for unauthorized connections, defects, and damage, such as broken seals.

โ€ข

Verify readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Geographic information system

โ€ข

Charting software

โ€ข

Map creation software

โ€ข

Data base reporting software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Mathematics

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score74/100
+30

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth-12.0%
-15.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K72%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K61%
Lawyers, Judges, and Related Workers17$144K59%