Travel Agents

Sales & Marketing

AI exposure

  • Data source: BLSPublished: '26.08

    Very high· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: '26.03

    0.405

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: '25

    0.56

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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

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.

TaskβE1 + 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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information