π‘ Gas Plant Operators have a composite risk score of 63/100 (Frey-Osborne probability: 78%, GenAI exposure: 42/100). With 15,910 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 15,910 workers and a median wage of $83K,gas plant operators represent a significant portion of the US workforce. Their GenAI exposure index is 42%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
63/100
Employment
15,910
Median Wage
$83K
GenAI Exposure
42%
β οΈ Top Risk Factors
Smart factory scheduling and production optimization
Predictive maintenance reducing manual inspection roles
Automated CNC programming and machine operation
Cobots handling repetitive material handling tasks
π‘οΈ Tasks AI Can't Easily Replace
Troubleshooting complex equipment malfunctions
Coordinating workflow across diverse production teams
Setup and calibration of custom production runs
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
51% skills overlap Β· $106K median wage
Electrical Power-Line Installers and Repairers
55% skills overlap Β· $93K median wage
Architects, Except Landscape and Naval
53% skills overlap Β· $97K median wage
β Frequently Asked Questions
Will AI completely replace gas plant operators?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for gas plant operators?
Gas Plant Operators have a composite AI automation risk score of 63 out of 100, classified as "High Risk".
How many gas plant operators are there in the US?
There are approximately 15,910 gas plant operators employed in the United States.
What do gas plant operators earn?
The median annual wage for gas plant operators is $83K.
What skills should gas plant operators develop?
Focus on tasks AI can't easily replicate: troubleshooting complex equipment malfunctions, coordinating workflow across diverse production teams, setup and calibration of custom production runs. These human-centric skills will become more valuable as routine tasks are automated.