Reservation and Ticket Agents
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
0.247
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.56
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, 8% 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 % |
|---|---|
Answer inquiries regarding information such as schedules, accommodations, procedures, and policies.43-4181 | 0.043846.6 |
Provide customers with travel suggestions and information sources, such as guides, directories, brochures, and maps.43-4181 | 0.029431.3 |
Make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers.43-4181 | 0.00778.2 |
Confer with customers to determine their service requirements and travel preferences.43-4181 | 0.00646.8 |
Plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers.43-4181 | 0.00363.9 |
Inform clients of essential travel information, such as travel times, transportation connections, and medical and visa requirements.43-4181 | 0.00303.2 |
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 |
|---|---|
Answer inquiries regarding information, such as schedules, accommodations, procedures, or policies.O*NET Task ID 9752 | 1.0 |
Announce arrival and departure information, using public address systems.O*NET Task ID 9761 | 1.0 |
Plan routes, itineraries, and accommodation details, and compute fares and fees, using schedules, rate books, and computers.O*NET Task ID 9749 | 0.5 |
Make and confirm reservations for transportation and accommodations, using telephones, faxes, mail, and computers.O*NET Task ID 9750 | 0.5 |
Prepare customer invoices and accept payment.O*NET Task ID 9751 | 0.5 |
Assemble and issue required documentation, such as tickets, travel insurance policies, or itineraries.O*NET Task ID 9753 | 0.5 |
Determine whether space is available on travel dates requested by customers, assigning requested spaces when available.O*NET Task ID 9754 | 0.5 |
Inform clients of essential travel information, such as travel times, transportation connections, or medical and visa requirements.O*NET Task ID 9755 | 0.5 |
Maintain computerized inventories of available passenger space and provide information on space reserved or available.O*NET Task ID 9756 | 0.5 |
Confer with customers to determine their service requirements and travel preferences.O*NET Task ID 9757 | 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