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Airport Security Screeners

Protective Service
Projected change 2024–34: -6%
Median annual wage (2024): $63,360
Employment (2024): 50K

United States · BLS Employment Projections 2024–34 (figures for SOC 33-9093 occupational group)

AI exposure in published research

Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.

Data provider: OpenAI · "GPTs are GPTs"

Time basis: 2023 baselineex-ante estimate

Scored against GPT-4-generation capability.

Human rater basis
23.0%
GPT-4 rater basis
26.0%

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

26 rated tasks · 14 tasks with β ≥ 0.5 (53.8%)

Version:
gh-main-0471612
License:
MIT License · Copyright (c) 2024 OpenAI

Data provider: Anthropic Economic Index

Time basis: Published 2026-03-05composite index

Observed exposure
0.0%

Theoretical exposure index weighted by measured Claude usage, per the original report's definition.

26 tasks · usage observed in 0 · mean 0.0%

Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex

AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

Version:
hf-lmi-2026-03
License:
CC BY 4.0
Observation period:
(not applicable to this release)
Model:
(not stated by the source)

2023 prediction vs observation-based index published 2026-03-05

One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.

Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.

The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.

The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.

These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.

Task Breakdown

  • Operate X-ray and advanced imaging equipment to scan baggage
  • Conduct physical pat-down searches when required
  • Identify prohibited items and security threats on imaging screens
  • Verify passenger identification and boarding documents

About This Occupation

If you work as an Airport Security Screener, AI is transforming your profession through advanced imaging and detection systems. With an automation risk of 33/100 and overall exposure at 38%, this role faces medium transformation. The highest-impact area is verify passenger identification and boarding documents at 68% automation. This is classified as an 'augment' role. BLS projects +2% growth through 2034. AI-enhanced scanning and biometric verification are augmenting screeners, but physical searches and human judgment for threat assessment remain irreplaceable.

ISCO-08 classification

Unit group 5414ILO official

Security Guards

Definition

ILO original text (English)

Security guards patrol or monitor premises to guard property against theft and vandalism. They control access to establishments and maintain order and enforce regulations at public events and within establishments.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

View original

Official occupational information

  • ONET33-1099.00

    First-Line Supervisors of Protective Service Workers, All Other

    All protective service supervisors not listed separately above.

    View original
  • ONET33-9031.00

    Gambling Surveillance Officers and Gambling Investigators

    Observe gambling operation for irregular activities such as cheating or theft by either employees or patrons. Investigate potential threats to gambling assets such as money, chips, and gambling equipment. Act as oversight and security agent for management and customers.

    View original
  • ONET33-9032.00

    Security Guards

    Guard, patrol, or monitor premises to prevent theft, violence, or infractions of rules. May operate x-ray and metal detector equipment.

    View original
  • ONET33-9093.00

    Transportation Security Screeners

    Conduct screening of passengers, baggage, or cargo to ensure compliance with Transportation Security Administration (TSA) regulations. May operate basic security equipment such as x-ray machines and hand wands at screening checkpoints.

    View original

Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

View original

Frequently Asked Questions

The Anthropic Economic Index puts observed exposure at 0.0%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 23.0% under human raters. Both figures are reproduced from published research without modification.

They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.