Gas Compressor and Gas Pumping Station Operators

Transportation and Material Moving Occupations
Feb 15
MODERATE

What They Do

Operate steam-, gas-, electric motor-, or internal combustion-engine driven compressors. Transmit, compress, or recover gases, such as butane, nitrogen, hydrogen, and natural gas.

Employment Impact

United States

4.4K

People employed

Estimated Global

88K

Estimated global impact (extrapolated from US market data)

AI Impact Overview

AI and automation are poised to significantly change routine and monitoring activities for gas compressor and gas pumping station operators, especially at the entry and mid-career levels.

AI Analysis

Detailed Analysis

The integration of artificial intelligence will streamline tasks such as monitoring pressures, flow rates, safety status, and performing predictive diagnostics, reducing reliance on manual operators for standard operations. However, human operators will remain essential for complex troubleshooting, emergency responses, and regulatory compliance, particularly in environments where safety and operational continuity are paramount.

Opportunity

"Adaptability, technical upskilling, and proactive engagement with evolving technologies can ensure career resilience and growth, even as automation transforms the sector."

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Progress Tracking
Expert Resources

AI Risk Assessment

Risk level varies by experience level

J

Junior Level

HIGH

Routine monitoring, simple control, and basic maintenance—tasks often assigned to junior roles—are highly susceptible to automation and remote monitoring systems.

M

Mid-level

MODERATE

Mid-level roles will increasingly require advanced technical troubleshooting and oversight of automated systems. Some reduction in roles is possible, but there will be continued need for those with supervisory and multi-system skills.

S

Senior Level

LOW

Senior operators with expertise in compliance, emergency management, complex troubleshooting, and cross-system integration remain difficult to automate and will remain valuable.

AI-Driven Job Forecasts

2 Years

Near-term Outlook

Job Outlook

Minor automation of routine tasks but strong continued demand for skilled operators familiar with digital monitoring systems.

Transition Strategy

Complete training in industrial automation, familiarize with predictive maintenance software, and participate in digital literacy workshops.

5 Years

Medium-term Impact

Job Outlook

Broader adoption of automated control and predictive analytics reduces manual oversight needs. Hybrid roles emerge, blending system supervision and digital troubleshooting.

Transition Strategy

Earn certifications in industrial IoT and process control, attend industry conferences, and begin networking with engineering and data analytics professionals.

7+ Years

Long-term Vision

Job Outlook

Most basic monitoring and manual operations are fully automated. Remaining jobs focus on advanced oversight, emergency management, and regulatory roles.

Transition Strategy

Consider transition to supervisory, compliance, or training roles. Pursue advanced technical education or shift to emerging energy sectors (such as renewables) requiring transferable skills.

Industry Trends

Expansion of industrial IoT and sensor systems

Impact:

Increases automation of monitoring tasks, but also requires more technically literate workers for configuration and troubleshooting.

Greater emphasis on digital documentation and auditing

Impact:

Favors those with digital literacy and technical documentation skills.

Growth in predictive maintenance using AI

Impact:

Reduces need for routine physical checks, shifts work to interpreting tech alerts and planning maintenance schedules.

Increased use of smart wearables for safety monitoring

Impact:

Operators will need to be comfortable with new personal tech tracking for compliance and safety.

Integration of cybersecurity protocols

Impact:

Requires operators to have a baseline understanding of cybersecurity threats and industrial control system protection.

Remote operations and digital control rooms

Impact:

Centralizes operations, reducing staffing per site but increasing need for advanced technical capabilities.

Stricter safety and environmental regulations

Impact:

Increases demand for regulatory and compliance expertise, especially for senior operators.

Transition to cleaner energy sources

Impact:

Some pipeline operations may shrink, but new opportunities arise in renewables and hybrid energy facilities.

Union advocacy for upskilling and job protection

Impact:

Provides leverage for career development support and retraining funding.

Workforce aging and retirement

Impact:

Openings for new entrants, but favor those with technical proficiency and adaptability.

AI-Resistant Skills

Complex mechanical troubleshooting

U.S. Department of Labor O*NET
Skills Type:
Troubleshooting, Mechanical Reasoning
Learn More
Score:10/10

Regulatory compliance monitoring

U.S. Energy Information Administration (EIA)
Skills Type:
Legal, Compliance, Regulatory
Learn More
Score:9/10

Emergency and crisis management

FEMA Disaster Management
Skills Type:
Management, Crisis Response
Learn More
Score:9/10

Alternative Career Paths

💻

Regulatory Affairs Specialist

Ensures compliance with safety and environmental standards in product development.

Relevance: Applies sector-specific regulatory competence and communication skills.

💻

Field Service Engineer

Installs, maintains, and troubleshoots electrical systems on-site.

Relevance: Hands-on technical skills transferable from operator role.

💻

Renewable Energy Technician

Installs and maintains renewable energy systems.

Relevance: Applies mechanical and system troubleshooting expertise in a growing field.

Emerging AI Tools Tracker

Schneider Electric EcoStruxure
An IoT-enabled architecture and platform that delivers enhanced safety, reliability, efficiency, sustainability, and connectivity.
IMPACT:
8/10
ADOPTION:
Currently in use
Widely used in energy management and automation.
Siemens MindSphere
Industrial IoT analytics platform, leveraging AI for predictive analytics.
IMPACT:
8/10
ADOPTION:
1-2 years widespread
Widespread in advanced factories
OSIsoft PI System
AI-driven operational data management for real-time field analysis.
IMPACT:
9/10
ADOPTION:
Active / Now
High in process operations and monitoring.

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