Meter Readers, Utilities
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
Moderate· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.38
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 48% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 9 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer customers' questions about services and charges, or direct them to customer service centers.43-5041 | 0.0023100.0 | —0 |
Update client address and meter location information. | —0 | 0.001853.1 |
Read electric, gas, water, or steam consumption meters and enter data in route books or hand-held computers. | —0 | 0.001646.9 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Upload into office computers all information collected on hand-held computers during meter rounds, or return route books or hand-held computers to business offices so that data can be compiled.O*NET Task ID 11311 | 1.0 |
Answer customers' questions about services and charges, or direct them to customer service centers.O*NET Task ID 11315 | 1.0 |
Update client address and meter location information.O*NET Task ID 11316 | 1.0 |
Leave messages to arrange different times to read meters in cases in which meters are not accessible.O*NET Task ID 11317 | 1.0 |
Read electric, gas, water, or steam consumption meters and enter data in route books or hand-held computers.O*NET Task ID 11309 | 0.5 |
Verify readings in cases where consumption appears to be abnormal, and record possible reasons for fluctuations.O*NET Task ID 11312 | 0.5 |
Collect past-due bills.O*NET Task ID 11319 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page