Will AI replace biomass power plant managers?

Unlikely, though parts of the work are changing. About 1h 26m of an 8-hour shift goes to tasks touched by robots. The breakdown: 11m done by people with AI help, 22m that AI mostly does alone, 53m that robots have done in real workplaces. The other 6h 34m (82%) stays with people. Separately, BLS expects about 2.6% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 2 of 19 tasks, about 33m of a typical shift. The biggest ones:

• Evaluate power production or demand trends to identify opportunities for improved operations. (21m a shift, AI mostly does it alone)
• Compile and record operational data on forms or in log books. (11m a shift, people use AI to help)

For some tasks, yes. Robots have done 3 of this job's tasks in workplaces like this one, about 53m of a typical shift. For 1 physical task, no robot has shown it can do the work yet.

• Conduct field inspections of biomass plants, stations, or substations to ensure normal and safe operating conditions. (32m a shift; e.g. Spot (Boston Dynamics) with Smart Inspection payloads/software, 'Energy Dog', in use)
• Inspect biomass gasification processes, equipment, and facilities for ways to maximize capacity and minimize operating costs. (16m a shift; e.g. Spot (Boston Dynamics) with Spot CAM+IR and acoustic payloads, in use)
• Operate controls to start, stop, or regulate biomass-fueled generators, generator units, boilers, engines, or auxiliary systems. (5m a shift; e.g. Valmet DNA Grate Boiler Optimizer / advanced process control at MVV Ridham Dock biomass plant, in use)

6h 34m of a typical shift, or 82%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Supervise operations or maintenance employees in the production of power from biomass, such as wood, coal, paper sludge, or other waste or refuse. (1h 4m a shift)
• Manage safety programs at power generation facilities. (43m a shift)
• Supervise biomass plant or substation operations, maintenance, repair, or testing activities. (43m a shift)
• Plan and schedule plant activities, such as wood, waste, or refuse fuel deliveries, ash removal, and regular maintenance. (43m a shift)
• Review logs, datasheets, or reports to ensure adequate production levels and safe production environments or to identify abnormalities with power production equipment or processes. (37m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% carry high or very high responsibility for other workers' safety
• 93% talk face to face with others every day
• 70% work in very hot or cold conditions at least weekly

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 2h 47m for a person alone and about 19m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Compile and record operational data on forms or in log books (about 2h 47m alone, 19m with AI)

On Indeed, job postings in the Management sector are at 104% of their February 2020 level (all U.S. postings: 104%), up 8.3% from a year earlier, as of Oct 9, 2026. BLS separately expects about 17,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $126,060 a year ($60.61 an hour), 147% above the median for all U.S. jobs ($50,980). Most people in this job earn between $78,000 and $205,520 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 2.6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 259,000 jobs in 2035. It expects about 17,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 246,000 people in the U.S., roughly 0.16% of all workers (BLS, May 2025). That makes it the 153rd largest of the 796 jobs on this site. BLS expects about 259,000 in 2035.

The most common requirement is a bachelor's degree: about 61% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Management of Material Resources, Management of Financial Resources, Management of Personnel Resources, Coordination
• Get strong at the parts of the job that stay with people (listed above), which take 6h 34m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Geothermal Production Managers (52m touched, $126k median pay)
• Hydroelectric Production Managers (39m touched, $126k median pay)
• Industrial Production Managers (0m touched, $126k median pay)
• Wind Energy Operations Managers (0m touched, $142k median pay)
• Biofuels Production Managers (0m touched, $126k median pay)

Each task carries its own evidence label. For this job: 2 observed in real AI use, 3 with robots in real deployments, 14 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.