Gini Loh System Tools

AI Automation Index

Will AI Replace Biomass Power Plant Managers?

Task-level automation exposure for Biomass Power Plant Managers: 19 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

44% weighted task index

19 of 19 tasks scored

Median Salary

$126,060 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

246,250 people hold this job — size, not growth

Projected 2025–35

+2.6% employment change

17,000 openings a year · BLS line item

Pay by state

BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$100,470 – $153,000

Highest medians

Delaware $153,000
Wyoming $151,490
Massachusetts $148,050
New Jersey $147,260
New Hampshire $146,590

Lowest medians

Guam $100,470
Iowa $106,510
Nebraska $107,200
Idaho $107,340
South Dakota $107,490

State figures come from the 11-3051 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 44%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 27%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 48%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 4%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 40/100 Moderate

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

19 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 38%

7 tasks

Medium exposure (≥ 35%) 27%

5 tasks

Low exposure (below 35%) 35%

7 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#21162 · Core · 25% automatable

Manage safety programs at power generation facilities.

situated mobility — Physical environment safety monitoring needs on-site sensing

Monitor environment to ensure safety. Enforce rules or regulations.
#15471 · Core · 60% automatable

Review biomass operations performance specifications to ensure compliance with regulatory requirements.

decision support — Checks program against standards; human verifies compliance

Evaluate green operations or programs for compliance with standards or regulations.
#15470 · Core · 60% automatable

Review logs, datasheets, or reports to ensure adequate production levels and safe production environments or to identify abnormalities with power production equipment or processes.

text generation — Policy compliance document review, human owns final call

Monitor green energy equipment, systems, or facilities. Review documents or materials for compliance with policies or regulations.
#15468 · Core · 28% automatable

Supervise operations or maintenance employees in the production of power from biomass, such as wood, coal, paper sludge, or other waste or refuse.

interpersonal — Directing workers in the field is human supervision

Supervise workers performing environmentally sustainable activities.
#15478 · Core · 25% automatable

Supervise biomass plant or substation operations, maintenance, repair, or testing activities.

decision support — Plant operations direction needs real-time human control

Direct green energy production operations. Direct maintenance and repair activities in green energy production facilities.
#15480 · Core · 35% automatable

Conduct field inspections of biomass plants, stations, or substations to ensure normal and safe operating conditions.

visual inspection — Facility inspection requires physical presence and sensory judgment

Inspect operations of green energy facilities.
#15474 · Core · 54% automatable

Plan and schedule plant activities, such as wood, waste, or refuse fuel deliveries, ash removal, and regular maintenance.

data analysis — AI arranges schedules; human manages real-world changes

Schedule activities or facility use. Schedule product or material transportation. Direct maintenance and repair activities in green energy production facilities.
#15473 · Core · 68% automatable

Prepare and manage biomass plant budgets.

data analysis — Green operational budget drafting from cost assumptions

Prepare operational budgets for green energy or other green operations.
#15477 · Core · 74% automatable

Evaluate power production or demand trends to identify opportunities for improved operations.

data analysis — Energy production data evaluation is quantitative

Analyze market research data. Evaluate energy production data.
#15476 · Core · 35% automatable

Inspect biomass gasification processes, equipment, and facilities for ways to maximize capacity and minimize operating costs.

visual inspection — Facility inspection requires physical presence and sensory judgment

Inspect operations of green energy facilities.
#15472 · Core · 60% automatable

Prepare reports on biomass plant operations, status, maintenance, and other information.

text generation — AI drafts green energy communications; human reviews

Communicate green energy production information.
#15464 · Core · 68% automatable

Manage parts and supply inventories for biomass plants.

data analysis — Inventory management systems; human handles physical counts

Manage inventories of products or organizational resources.
#15465 · Core · 36% automatable

Monitor and operate communications systems, such as mobile radios.

visual inspection — Sensor/vision monitoring possible, but physical verification and accountability remain human

Monitor equipment operation to ensure proper functioning. Operate communications equipment or systems.
#15469 · Supplemental · 20% automatable

Shut down and restart biomass power plants or equipment in emergency situations or for equipment maintenance, repairs, or replacements.

physical manipulation — Physical control of green energy production equipment

Operate green energy production equipment.
#15466 · Supplemental · 83% automatable

Compile and record operational data on forms or in log books.

data analysis — Compiling operational data from sources is automatable

Compile operational data. Maintain operational records.
#15479 · Supplemental · 40% automatable

Monitor the operating status of biomass plants by observing control system parameters, distributed control systems, switchboard gauges, dials, or other indicators.

visual inspection — Facility monitoring needs deployed sensors and physical inspection

Monitor green energy equipment, systems, or facilities.
#15467 · Supplemental · 20% automatable

Adjust equipment controls to generate specified amounts of electrical power.

physical manipulation — Physical control of green energy production equipment

Operate green energy production equipment.
#15463 · Supplemental · 16% automatable

Test, maintain, or repair electrical power distribution machinery or equipment, using hand tools, power tools, and testing devices.

physical manipulation — Testing green tech installations requires physical setup

Test green technologies or processes. Maintain green energy production plant equipment. Perform manual service or maintenance tasks.
#15475 · Supplemental · 20% automatable

Operate controls to start, stop, or regulate biomass-fueled generators, generator units, boilers, engines, or auxiliary systems.

physical manipulation — Physical control of green energy production equipment

Operate green energy production equipment.
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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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