Transportation Security Screeners

Protective Service

AI exposure

  • Data source: BLSPublished: 2026-08

    Moderate· 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: 2026-03

    0.000

    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: 2025

    0.20

    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, 86% 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

Exposed tasks only

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
Check passengers' tickets to ensure that they are valid, and to determine whether passengers have designations that require special handling, such as providing photo identification.

O*NET Task ID 15332

0.5
Contact leads or supervisors to discuss objects of concern that are not on prohibited object lists.

O*NET Task ID 15335

0.5
Decide whether baggage that triggers alarms should be searched or should be allowed to pass through.

O*NET Task ID 15337

0.5
Inform other screeners when baggage should not be opened because it might contain explosives.

O*NET Task ID 15339

0.5
Inspect carry-on items, using x-ray viewing equipment, to determine whether items contain objects that warrant further investigation.

O*NET Task ID 15341

0.5
Inspect checked baggage for signs of tampering.

O*NET Task ID 15342

0.5
Locate suspicious bags pictured in printouts sent from remote monitoring areas, and set these bags aside for inspection.

O*NET Task ID 15343

0.5
Monitor passenger flow through screening checkpoints to ensure order and efficiency.

O*NET Task ID 15344

0.5
Record information about any baggage that sets off alarms in monitoring equipment.

O*NET Task ID 15347

0.5
Test baggage for any explosive materials, using equipment such as explosive detection machines or chemical swab systems.

O*NET Task ID 15350

0.5
Ask passengers to remove shoes and divest themselves of metal objects prior to walking through metal detectors.

O*NET Task ID 15331

0.0
Close entry areas following security breaches or reopen areas after receiving notification that the airport is secure.

O*NET Task ID 15333

0.0
Confiscate dangerous items and hazardous materials found in opened bags and turn them over to airlines for disposal.

O*NET Task ID 15334

0.0
Contact police directly in cases of urgent security issues, using phones or two-way radios.

O*NET Task ID 15336

0.0
Direct passengers to areas where they can pick up their baggage after screening is complete.

O*NET Task ID 15338

0.0
Inform passengers of how to mail prohibited items to themselves, or confiscate these items.

O*NET Task ID 15340

0.0
Notify supervisors or other appropriate personnel when security breaches occur.

O*NET Task ID 15345

0.0
Perform pat-down or hand-held wand searches of passengers who have triggered machine alarms, who are unable to pass through metal detectors, or who have been randomly identified for such searches.

O*NET Task ID 15346

0.0
Search carry-on or checked baggage by hand when it is suspected to contain prohibited items such as weapons.

O*NET Task ID 15348

0.0
Send checked baggage through automated screening machines, and set bags aside for searching or rescreening as indicated by equipment.

O*NET Task ID 15349

0.0
Challenge suspicious people, requesting their badges and asking what their business is in a particular areas.

O*NET Task ID 15353

0.0
Follow those who breach security until police or other security personnel arrive to apprehend them.

O*NET Task ID 15354

0.0

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

Occupation information