Analyze energy usage data.

Analyze energy usage data. is a detailed work activity in O*NET — a concrete unit of work shared across 2 occupations and seen in 9 occupation-specific tasks. It rolls up into the broader work activity Analyze data to improve operations. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 9 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 8 (89%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.002% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Identify and recommend energy savings strategies to achieve more energy-efficient operation. · Energy Engineers, Except Wind and Solar · importance 4.5 · exposure with tools
• Calculate potential for energy savings. · Energy Auditors · importance 4.4 · exposure with tools
• Collect and analyze field data related to energy usage. · Energy Auditors · importance 4.1 · exposure with tools
• Measure energy usage with devices such as data loggers, universal data recorders, light meters, sling psychrometers, psychrometric charts, flue gas analyzers, amp probes, watt meters, volt meters, thermometers, or utility meters. · Energy Auditors · importance 4.0 · no direct exposure
• Verify energy bills and meter readings. · Energy Engineers, Except Wind and Solar · importance 3.9 · exposure with tools
• Analyze energy bills, including utility rates or tariffs, to gather historical energy usage data. · Energy Auditors · importance 3.7 · exposure with tools
• Quantify energy consumption to establish baselines for energy use or need. · Energy Auditors · importance 3.7 · exposure with tools
• Determine patterns of building use to show annual or monthly needs for heating, cooling, lighting, or other energy needs. · Energy Auditors · importance 3.6 · exposure with tools
• Compare existing energy consumption levels to normative data. · Energy Auditors · importance 3.5 · exposure with tools

Occupations that perform this

• Energy Engineers, Except Wind and Solar
• Energy Auditors

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
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-energy-usage-data,
  title  = {Analyze energy usage data.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-energy-usage-data}
}