Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Evaluate power production or demand trends to identify opportunities for improved operations. · 0.6%
Biomass Power Plant Managers
Occupation · SOC 11-3051.04
Manage operations at biomass power generation facilities. Direct work activities at plant, including supervision of operations and maintenance staff.
Also called: Maintenance Manager · Maintenance Supervisor · Operations Supervisor · Plant Manager · Fuel Manager · Maintenance Superintendent · Operations Superintendent · Operations and Maintenance Manager (O&M Manager) · Utilities Superintendent · Biomass Plant Manager · Biomass Power Plant Manager · Biomass Power Plant Superintendent
Job family: Management Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-3051-04/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Evaluate power production or demand trends to identify opportunities for improved operations. · 93.0% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+1.9% by 2034)
- 17,100 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Median pay $121,440/yr
- Work is mostly on-site (not teleworkable)
- A reversal from 2013 — rated low automation risk then (19th), high AI task-overlap now (50th)
50th-percentile task overlap — yet about 17,100 openings a year (+1.9% projected, BLS), and observed AI use leans 3158% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 60th | 0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 51st | 0.6 | |
| AI assistant applicability (Microsoft) Moderate | 38th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 19th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Evaluate power production or demand trends to identify opportunities for improved operations. | 1.0% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +1.9% by 2034 |
| Projected annual openings | 17,100 |
| Employment 2024 → 2034 | 241,900 → 246,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Biomass Power Plant Managers sits at the 72nd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
38% mean task exposure (2025)
72nd percentile of 427 placed occupations
+2 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Manufacturing Managers · 1321 | 38% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 31.6% working with AI · 31.6% handed to AI |
| Most common way people use AI here | Directive · AI does it; you give the instruction |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 54.4% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Evaluate power production or demand trends to identify opportunities for improved operations. | Directive | 0.6% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Evaluate power production or demand trends to identify opportunities for improved operations. | 93.0% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me evaluate power production or demand trends to identify opportunities for improved operations.From: Evaluate power production or demand trends to identify opportunities for improved operations. · 0.6% of measured AI use · directive
Tasks
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Manage safety programs at power generation facilities. Core · importance 4.6
- Review biomass operations performance specifications to ensure compliance with regulatory requirements. Core · importance 4.5
- Review logs, datasheets, or reports to ensure adequate production levels and safe production environments or to identify abnormalities with power production equipment or processes. Core · importance 4.1
- Supervise operations or maintenance employees in the production of power from biomass, such as wood, coal, paper sludge, or other waste or refuse. Core · importance 4.1
- Supervise biomass plant or substation operations, maintenance, repair, or testing activities. Core · importance 4.1
- Shut down and restart biomass power plants or equipment in emergency situations or for equipment maintenance, repairs, or replacements. Supplemental · importance 4.1
- Compile and record operational data on forms or in log books. Supplemental · importance 3.9
- Conduct field inspections of biomass plants, stations, or substations to ensure normal and safe operating conditions. Core · importance 3.9
- Plan and schedule plant activities, such as wood, waste, or refuse fuel deliveries, ash removal, and regular maintenance. Core · importance 3.8
- Monitor the operating status of biomass plants by observing control system parameters, distributed control systems, switchboard gauges, dials, or other indicators. Supplemental · importance 3.8
- Prepare and manage biomass plant budgets. Core · importance 3.8
- Adjust equipment controls to generate specified amounts of electrical power. Supplemental · importance 3.8
- Test, maintain, or repair electrical power distribution machinery or equipment, using hand tools, power tools, and testing devices. Supplemental · importance 3.7
- Evaluate power production or demand trends to identify opportunities for improved operations. Core · importance 3.6
- Inspect biomass gasification processes, equipment, and facilities for ways to maximize capacity and minimize operating costs. Core · importance 3.6
- Operate controls to start, stop, or regulate biomass-fueled generators, generator units, boilers, engines, or auxiliary systems. Supplemental · importance 3.6
- Prepare reports on biomass plant operations, status, maintenance, and other information. Core · importance 3.5
- Manage parts and supply inventories for biomass plants. Core · importance 3.4
- Monitor and operate communications systems, such as mobile radios. Core · importance 3.3
Work activities
- Test green technologies or processes.
- Maintain green energy production plant equipment.
- Perform manual service or maintenance tasks.
- Manage inventories of products or organizational resources.
- Monitor equipment operation to ensure proper functioning.
- Operate communications equipment or systems.
- Compile operational data.
- Maintain operational records.
- Operate green energy production equipment.
- Supervise workers performing environmentally sustainable activities.
- Monitor green energy equipment, systems, or facilities.
- Review documents or materials for compliance with policies or regulations.
- Evaluate green operations or programs for compliance with standards or regulations.
- Communicate green energy production information.
- Prepare operational budgets for green energy or other green operations.
- Schedule activities or facility use.
- Schedule product or material transportation.
- Direct maintenance and repair activities in green energy production facilities.
- Inspect operations of green energy facilities.
- Analyze market research data.
- Evaluate energy production data.
- Direct green energy production operations.
- Monitor environment to ensure safety.
- Enforce rules or regulations.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Mechanical | 4.3 | |
| Engineering and Technology | 4.1 | |
| Production and Processing | 4.1 | |
| Administration and Management | 4.0 | |
| Personnel and Human Resources | 3.9 | |
| Public Safety and Security | 3.7 | |
| Administrative | 3.6 | |
| Education and Training | 3.6 | |
| Mathematics | 3.5 | |
| Computers and Electronics | 3.5 | |
| Chemistry | 3.4 | |
| English Language | 3.3 | |
| Design | 3.2 | |
| Physics | 3.2 |
Essential skills
| Speaking | 4.0 | |
| Critical Thinking | 4.0 | |
| Reading Comprehension | 3.9 | |
| Active Listening | 3.9 | |
| Monitoring | 3.9 |
Abilities
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 3.9 | |
| Written Expression | 3.8 | |
| Information Ordering | 3.6 | |
| Near Vision | 3.6 | |
| Speech Recognition | 3.6 | |
| Speech Clarity | 3.6 | |
| Category Flexibility | 3.3 | |
| Flexibility of Closure | 3.3 |
Transferable skills
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services , Engineering , Engineering/Engineering-Related Technologies/Technicians , Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 61.5% | |
| Associate's Degree (or other 2-year degree) | 16.7% | |
| Post-Secondary Certificate | 13.2% | |
| High School Diploma | 6.8% | |
| Some College Courses | 1.8% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Conventional | 5.3 | |
| Realistic | 5.1 | |
| Enterprising | 4.9 | |
| Investigative | 3.2 | |
| Social | 1.7 | |
| Artistic | 1.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $74,900 |
| 25th percentile | $94,620 |
| Median (50th) | $121,440 |
| 75th percentile | $156,330 |
| 90th percentile | $197,310 |
| People employed | 234,380 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 11-3051), not for the specialty alone.
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Manufacturing · Sector | 174,750 | $119,930 |
| Wholesale Trade · Sector | 15,530 | $111,080 |
| Professional, Scientific, and Technical Services · Sector | 10,730 | $142,420 |
| Management of Companies and Enterprises · Sector | 7,440 | $155,630 |
| Machine Shops · National industry | 4,590 | $101,690 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 3,600 | $106,340 |
| Utilities · Sector | 3,470 | $157,180 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 3,250 | $132,380 |
| Construction · Sector | 2,540 | $114,990 |
| Transportation and Warehousing · Sector | 2,460 | $114,660 |
| Engineering Services · National industry | 2,130 | $128,080 |
| Other Services (except Public Administration) · Sector | 2,080 | $95,270 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Machine Shops · National industry | 11.62× | 4,590 |
| Manufacturing · Sector | 9.01× | 174,750 |
| Fossil Fuel Electric Power Generation · National industry | 8.67× | 940 |
| Nuclear Electric Power Generation · National industry | 6.91× | 390 |
| Utilities · Sector | 3.94× | 3,470 |
| Mining, Quarrying, and Oil and Gas Extraction · Sector | 3.73× | 3,250 |
| Jewelry and Silverware Manufacturing · National industry | 3.63× | 110 |
| Testing Laboratories and Services · National industry | 3.17× | 820 |
Related occupations
Part of the Advanced Manufacturing , Management & Entrepreneurship and Supply Chain & Transportation career clusters.
- Biomass Plant Technicians · 51-8013.03 Compare →
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- Biofuels Production Managers · 11-3051.03 Compare →
- Hydroelectric Production Managers · 11-3051.06 Compare →
- Hydroelectric Plant Technicians · 51-8013.04 Compare →
- Biofuels Processing Technicians · 51-8099.01 Compare →
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- Industrial Production Managers · 11-3051.00 Compare →
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- Energy Engineers, Except Wind and Solar · 17-2199.03 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Biomass Power Plant Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
- Engineering · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 72nd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Biomass Power Plant Managers show 50th-percentile AI task overlap — and about 17,100 annual U.S. openings
- Biomass Power Plant Managers rank in the 50th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 17,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+1.9%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $121,440, across about 234,380 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 32% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Biomass Power Plant Managers show 50th-percentile AI task overlap — and about 17,100 annual U.S. openings • Biomass Power Plant Managers rank in the 50th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 17,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+1.9%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $121,440, across about 234,380 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 32% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Biomass Power Plant Managers". https://singulariki.com/roles/role-11-3051-04 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Biomass Power Plant Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-11-3051-04
APA
Singulariki. (2026). Biomass Power Plant Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3051-04
BibTeX
@misc{singulariki-role-11-3051-04,
title = {Biomass Power Plant Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-3051-04}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.