Will AI replace Biomass Power Plant Managers?
AI reaches some of this job’s work, but most of it stays with people.
29/100
Moderate exposure
More exposed to AI than 45% of US workers.
- AI already used in
- 8% of the work
- As AI tools mature: up to
- 46% of the work
What the job involves
Manage operations at biomass power generation facilities. Direct work activities at plant, including supervision of operations and maintenance staff.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(2)
- Evaluate power production or demand trends to identify opportunities for improved operations.
- Compile and record operational data on forms or in log books.
Within reach(6)
- Manage safety programs at power generation facilities.
- Review biomass operations performance specifications to ensure compliance with regulatory requirements.
- Review logs, datasheets, or reports to ensure adequate production levels and safe production environments or to identify abnormalities with power production equipment or processes.
- Prepare reports on biomass plant operations, status, maintenance, and other information.
- Prepare and manage biomass plant budgets.
and 1 more
Out of reach(11)
- Supervise operations or maintenance employees in the production of power from biomass, such as wood, coal, paper sludge, or other waste or refuse.
- Supervise biomass plant or substation operations, maintenance, repair, or testing activities.
- Conduct field inspections of biomass plants, stations, or substations to ensure normal and safe operating conditions.
- Plan and schedule plant activities, such as wood, waste, or refuse fuel deliveries, ash removal, and regular maintenance.
- Manage parts and supply inventories for biomass plants.
and 6 more
Also called
Fuel Manager · Maintenance Manager · Maintenance Superintendent · Maintenance Supervisor · Operations and Maintenance Manager (O&M Manager) · Operations Superintendent · Operations Supervisor · Plant Manager
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics