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AI Automation Index
Task-level automation exposure for Energy Engineers, Except Wind and Solar: 21 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
21 of 21 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
154,070 people hold this job — size, not growth
Projected 2025–35
8,800 openings a year · BLS line item
BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$76,100 – $162,070
Highest medians
Lowest medians
State figures come from the 17-2199 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
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.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
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.
21 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
12 tasks
5 tasks
4 tasks
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 →Identify and recommend energy savings strategies to achieve more energy-efficient operation.
data analysis — Energy usage analysis is standard quantitative work
Collect data for energy conservation analyses, using jobsite observation, field inspections, or sub-metering.
data analysis — Energy modeling aided; field measurement human
Monitor and analyze energy consumption.
data analysis — Consumption data monitoring is largely digital and analyzable
Prepare energy-related project reports or related documentation.
text generation — Operational reports drafted from data
Monitor energy related design or construction issues, such as energy engineering, energy management, or sustainable design.
decision support — Energy operations direction needs real-time human control
Conduct energy audits to evaluate energy use and to identify conservation and cost reduction measures.
data analysis — Consumption data monitoring is largely digital and analyzable
Analyze, interpret, or create graphical representations of energy data, using engineering software.
data analysis — AI builds computational models; engineer validates assumptions
Train personnel or clients on topics such as energy management.
interpersonal — Operational procedure training needs live demonstration
Advise clients or colleagues on topics such as climate control systems, energy modeling, data logging, sustainable design, or energy auditing.
information retrieval — Green practice advice is largely informational
Perform energy modeling, measurement, verification, commissioning, or retro-commissioning.
data analysis — AI builds computational models; engineer validates assumptions
Verify energy bills and meter readings.
data analysis — Energy usage analysis is standard quantitative work
Review architectural, mechanical, or electrical plans or specifications to evaluate energy efficiency.
data analysis — Analyzes specs for implications; expert judgment required
Inspect or monitor energy systems, including heating, ventilating, and air conditioning (HVAC) or daylighting systems to determine energy use or potential energy savings.
visual inspection — Equipment/system inspection requires physical presence
Manage the development, design, or construction of energy conservation projects to ensure acceptability of budgets and time lines, conformance to federal and state laws, or adherence to approved specifications.
decision support — Energy operations direction needs real-time human control
Direct the implementation of energy management projects.
decision support — Energy operations direction needs real-time human control
Promote awareness or use of alternative or renewable energy sources.
text generation — Campaign content and analysis drafted; human executes strategy
Recommend best fuel for specific sites or circumstances.
decision support — Proposes design changes; human validates feasibility
Write or install energy management routines for building automation systems.
physical manipulation — Operating systems requires hands-on interaction
Research renewable or alternative energy systems or technologies, such as solar thermal or photovoltaic energy.
information retrieval — Green tech literature aided; engineering validation human
Review or negotiate energy purchase agreements.
decision support — Procurement drafting and comparison; human commits funds
Consult with construction or renovation clients or other engineers on topics such as Leadership in Energy and Environmental Design (LEED) or Green Buildings.
information retrieval — Green practice advice is largely informational
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
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 →Related Article
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