Occupation · SOC 11-3051.02
Manage operations at geothermal power generation facilities. Maintain and monitor geothermal plant equipment for efficient and safe plant operations.
Also called: Plant Manager · Plant Supervisor · Power Plant Operations Manager · Decommissioning Well Site Manager · Geothermal Operations Manager · Geothermal Plant Manager · Geothermal Product Manager · Geothermal Production Manager · Industrial Production Manager · Mitigation Supervisor · Plant Operations Coordinator · Plant Superintendent
Job family: Management Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-3051-02/context.md directly.
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.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
52nd-percentile task overlap — yet about 17,100 openings a year (+1.9% projected, BLS) . What exposure means →
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.
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 | 61st | 0.8 | |
| AI assistant applicability (Microsoft) Moderate | 38th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). 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.
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
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.
| Identify opportunities to improve plant electrical equipment, controls, or process control methodologies. | 0.5% |
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.
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.
| 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.
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.
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 64.5% |
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 |
|---|---|---|
| Identify opportunities to improve plant electrical equipment, controls, or process control methodologies. | — | 0.3% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Identify opportunities to improve plant electrical equipment, controls, or process control methodologies. | 83.9% |
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 identify opportunities to improve plant electrical equipment, controls, or process control methodologies. From: Identify opportunities to improve plant electrical equipment, controls, or process control methodologies. · 0.3% of measured AI use
All 17 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Mechanical | 4.4 | |
| Administration and Management | 4.2 | |
| Production and Processing | 4.0 | |
| Public Safety and Security | 3.9 | |
| Mathematics | 3.9 | |
| Engineering and Technology | 3.8 | |
| English Language | 3.8 | |
| Personnel and Human Resources | 3.7 | |
| Education and Training | 3.5 | |
| Physics | 3.5 | |
| Design | 3.5 | |
| Chemistry | 3.5 | |
| Administrative | 3.5 | |
| Computers and Electronics | 3.4 | |
| Law and Government | 3.4 |
| Oral Comprehension | 4.1 | |
| Oral Expression | 4.1 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 3.9 | |
| Speech Recognition | 3.8 | |
| Written Comprehension | 3.6 | |
| Written Expression | 3.6 | |
| Information Ordering | 3.5 | |
| Speech Clarity | 3.5 | |
| Near Vision | 3.4 |
| Critical Thinking | 4.0 | |
| Reading Comprehension | 3.9 | |
| Speaking | 3.9 | |
| Monitoring | 3.9 | |
| Active Listening | 3.6 | |
| Writing | 3.6 | |
| Active Learning | 3.5 | |
| Mathematics | 3.3 |
| Coordination | 3.8 | |
| Judgment and Decision Making | 3.8 | |
| Complex Problem Solving | 3.6 | |
| Time Management | 3.6 | |
| Management of Personnel Resources | 3.6 | |
| Social Perceptiveness | 3.5 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| Microsoft Access | Data base user interface and query software | Hot technology |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Data logging software | Data base user interface and query software | |
| Infostat RIMBase | Data base user interface and query software | |
| Personnel scheduling software | Calendar and scheduling software |
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.
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.
Share of people in this occupation at each level of education.
| Some College Courses | 47.6% | |
| Post-Secondary Certificate | 18.9% | |
| Bachelor's Degree | 14.6% | |
| High School Diploma | 11.2% | |
| Post-Baccalaureate Certificate | 5.0% | |
| Associate's Degree (or other 2-year degree) | 2.7% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 5.3 | |
| Conventional | 4.8 | |
| Enterprising | 4.6 | |
| Investigative | 3.4 | |
| Social | 2.1 | |
| Artistic | 1.0 |
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.
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 |
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 |
Part of the Advanced Manufacturing , Management & Entrepreneurship and Supply Chain & Transportation career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Geothermal Production Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 72nd percentile of 427 international occupations.
Geothermal Production Managers show 52nd-percentile AI task overlap — and about 17,100 annual U.S. openings
Geothermal Production Managers show 52nd-percentile AI task overlap — and about 17,100 annual U.S. openings • Geothermal Production Managers rank in the 52nd 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)) Source: Singulariki — "Geothermal Production Managers". https://singulariki.com/roles/role-11-3051-02 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.
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.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Geothermal Production 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-11-3051-02
Singulariki. (2026). Geothermal Production Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3051-02
@misc{singulariki-role-11-3051-02,
title = {Geothermal Production 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-11-3051-02}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.