Collect data for energy conservation analyses, using jobsite observation, field inspections, or sub-metering.
Collect data for energy conservation analyses, using jobsite observation, field inspections, or sub-metering.
Task automation exposure
Very low exposure
Exposure basis
[v4/median] score 5 (raw 5 | A 35 / B 5 / C 5 | modality: physical_primary) While sub‑metering and remote IoT sensors can automatically gather many energy use metrics, the majority of data collection still relies on on‑site observation and field inspections that require human presence and judgment. (capable: IoT sensor platforms and remote energy monitoring software (e.g., building management systems, EnergyCAP))
0 capabilities · 1 occupations
Basis
How exposure was assessed
[v4/median] score 5 (raw 5 | A 35 / B 5 / C 5 | modality: physical_primary) While sub‑metering and remote IoT sensors can automatically gather many energy use metrics, the majority of data collection still relies on on‑site observation and field inspections that require human presence and judgment. (capable: IoT sensor platforms and remote energy monitoring software (e.g., building management systems, EnergyCAP))
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Occupations
Occupations that perform this task (1)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
|---|---|---|---|---|
| Energy Engineers, Except Wind and Solar | Cross-industry | 4.1/5 | core | 10 |
Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.