Receptionists and Information Clerks
Office & Administrative SupportAI exposure
- Data source: BLSPublished: '26.08
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: '26.03
0.434
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.57
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, 7% 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 3 hidden tasksValues 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 |
|---|---|
Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents.O*NET Task ID 746 | 1.0 |
Analyze data to determine answers to questions from customers or members of the public.O*NET Task ID 752 | 1.0 |
Calculate and quote rates for tours, stocks, insurance policies, or other products or services.O*NET Task ID 756 | 1.0 |
Process and prepare memos, correspondence, travel vouchers, or other documents.O*NET Task ID 758 | 1.0 |
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments.O*NET Task ID 744 | 0.5 |
Receive payment and record receipts for services.O*NET Task ID 745 | 0.5 |
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations.O*NET Task ID 747 | 0.5 |
Hear and resolve complaints from customers or the public.O*NET Task ID 748 | 0.5 |
File and maintain records.O*NET Task ID 749 | 0.5 |
Transmit information or documents to customers, using computer, mail, or facsimile machine.O*NET Task ID 750 | 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®, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Recent Changes Affecting This Occupation
Mar 2026: ILO finds 408 million people globally lack adequate work while AI transforms office roles. Women 24.2% less likely to participate in labor force.
[Source: ILO WESO 2026]Mar 2026: ILO: business administration and clerical support nearly twice as likely to be exposed to GenAI.
[Source: ILO Research Brief, March 2026]Mar 2026: ILO confirms receptionists among occupations driving gender AI gap; 88% of countries analyzed show women face higher generative AI risks than men
[Source: ILO: Gen AI, Occupational Segregation and Gender Equality (Mar 2026)]