Switchboard Operators
Office & Administrative SupportAI exposure
- Data source: BLSPublished: 2026-08
Very high· 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
0.386
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.54
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, 13% 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 15 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Answer simple questions about clients' businesses, using reference files.43-2011 | 0.0300100.0 | 0.050050.0 |
Relay or route written or verbal messages.43-2011 | 0.00000.0 | 0.030030.0 |
Perform various data entry or word processing tasks, such as updating phone directories, typing or proofreading documents, or creating schedules.43-2011 | 0.00000.0 | 0.010010.0 |
Answer incoming calls, greeting callers, providing information, transferring calls or taking messages as necessary. | —0 | 0.010010.0 |
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 |
|---|---|
Operate communication systems, such as telephone, switchboard, intercom, two-way radio, or public address.O*NET Task ID 4630 | 1.0 |
Page individuals to inform them of telephone calls, using paging or interoffice communication equipment.O*NET Task ID 4633 | 1.0 |
Relay or route written or verbal messages.O*NET Task ID 4634 | 1.0 |
Place telephone calls or arrange conference calls as instructed.O*NET Task ID 4635 | 1.0 |
Keep records of calls placed and charges incurred.O*NET Task ID 4639 | 1.0 |
Record messages, suggesting rewording for clarity or conciseness.O*NET Task ID 4640 | 1.0 |
Stamp messages with time and date and file them appropriately.O*NET Task ID 4641 | 1.0 |
Answer simple questions about clients' businesses, using reference files.O*NET Task ID 4642 | 1.0 |
Complete forms for sales orders.O*NET Task ID 4643 | 1.0 |
Perform various data entry or word processing tasks, such as updating phone directories, typing or proofreading documents, or creating schedules.O*NET Task ID 20427 | 1.0 |
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