69
/100

SOC 51-8013

Power Plant Operators

High RiskFrey/Osborne: 85.0%

Risk Score

โš ๏ธ

69/100

High Risk

US Employment

๐Ÿ‘ฅ

30,720

Total workers

Median Wage

๐Ÿ’ฐ

$100K

$60K โ€“ $129K

Projected Growth

๐Ÿ“ˆ

-11.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Power Plant Operators face a risk score of 69/100 โ€” 25 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 $100K ($53K 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 69/100, Power Plant Operators faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 30,720 workers in this occupation should focus on strengthening skills in quality judgment requiring tactile and visual inspection and coordinating workflow across diverse production teams to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Power Plant Operators?

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

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

Cobots handling repetitive material handling tasks

3

AI quality inspection via computer vision systems

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Coordinating workflow across diverse production teams

โœ“

Troubleshooting complex equipment malfunctions

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

Control generator output to match the phase, frequency, or voltage of electricity supplied to panels.

โ€ข

Take regulatory action, based on readings from charts, meters and gauges, at established intervals.

โ€ข

Control power generating equipment, including boilers, turbines, generators, or reactors, using control boards or semi-automatic equipment.

โ€ข

Start or stop generators, auxiliary pumping equipment, turbines, or other power plant equipment as necessary.

โ€ข

Monitor power plant equipment and indicators to detect evidence of operating problems.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Industrial control software

โ€ข

Electronic mail software

โ€ข

Analytical or scientific software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Public Safety and Security

โ€ข

Mathematics

โ€ข

Engineering and Technology

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$100K
+$53K

National avg: $46K

Risk Score69/100
+25

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth-11.2%
-14.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K63%
Electronics Engineers, Except Computer29$128K65%
Chemical Engineers30$122K63%