63
/100

SOC 53-7071

Gas Compressor and Gas Pumping Station Operators

High RiskFrey/Osborne: 91.0%

Risk Score

โš ๏ธ

63/100

High Risk

US Employment

๐Ÿ‘ฅ

5,110

Total workers

Median Wage

๐Ÿ’ฐ

$72K

$44K โ€“ $98K

Projected Growth

๐Ÿ“ˆ

-1.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Gas Compressor and Gas Pumping Station Operators face a risk score of 63/100 โ€” 19 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 $72K ($25K 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 63/100, Gas Compressor and Gas Pumping Station Operators faces moderate automation pressure. While tasks like ai traffic management and fleet coordination are increasingly handled by AI, the role retains significant human elements. The 5,110 workers in this occupation should focus on strengthening skills in navigating unpredictable road and weather conditions and customer interaction and conflict resolution during delivery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Gas Compressor and Gas Pumping Station Operators?

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

โš ๏ธ Top Risk Factors

1

AI traffic management and fleet coordination

2

Autonomous vehicle and self-driving truck technology

3

AI route optimization reducing dispatcher roles

4

Predictive maintenance reducing manual inspection needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable road and weather conditions

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Manual loading of irregular and fragile cargo

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

Monitor meters and pressure gauges to determine consumption rate variations, temperatures, and pressures.

โ€ข

Respond to problems by adjusting control room equipment or instructing other personnel to adjust equipment at problem locations or in other control areas.

โ€ข

Record instrument readings and operational changes in operating logs.

โ€ข

Adjust valves and equipment to obtain specified performance.

โ€ข

Move controls and turn valves to start compressor engines, pumps, and auxiliary equipment.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Administration and Management

โ€ข

Chemistry

๐Ÿ“Š vs National Average

Median Wage$72K
+$25K

National avg: $46K

Risk Score63/100
+19

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth-1.3%
-5.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K81%
Air Transportation Workers31$107K79%
Ship Engineers33$101K75%