Travel Agents
Sales & MarketingAI 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
0.405
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
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
Exposed tasks only| Task | Claude.aiRaw / share % |
|---|---|
Plan, describe, arrange, and sell itinerary tour packages and promotional travel incentives offered by various travel carriers.41-3041 | 0.012646.6 |
Converse with customer to determine destination, mode of transportation, travel dates, financial considerations, and accommodations required.41-3041 | 0.009133.7 |
Provide customer with brochures and publications containing travel information, such as local customs, points of interest, or foreign country regulations.41-3041 | 0.003011.1 |
Compute cost of travel and accommodations, using calculator, computer, carrier tariff books, and hotel rate books, or quote package tour's costs.41-3041 | 0.00238.7 |
| Not observed on any surface — 3 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Collect payment for transportation and accommodations from customer. | —0 |
Book transportation and hotel reservations, using computer terminal or telephone. | —0 |
Print or request transportation carrier tickets, using computer printer system or system link to travel carrier. | —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 |
|---|---|
Print or request transportation carrier tickets, using computer printer system or system link to travel carrier.O*NET Task ID 743 | 1.0 |
Collect payment for transportation and accommodations from customer.O*NET Task ID 737 | 0.5 |
Converse with customer to determine destination, mode of transportation, travel dates, financial considerations, and accommodations required.O*NET Task ID 738 | 0.5 |
Compute cost of travel and accommodations, using calculator, computer, carrier tariff books, and hotel rate books, or quote package tour's costs.O*NET Task ID 739 | 0.5 |
Book transportation and hotel reservations, using computer or telephone.O*NET Task ID 740 | 0.5 |
Plan, describe, arrange, and sell itinerary tour packages and promotional travel incentives offered by various travel carriers.O*NET Task ID 741 | 0.5 |
Provide customer with brochures and publications containing travel information, such as local customs, points of interest, or foreign country regulations.O*NET Task ID 742 | 0.5 |
Record and maintain information on clients, vendors, and travel packages.O*NET Task ID 20900 | 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