Crossing Guards and Flaggers
United States · BLS Employment Projections 2024–34 (figures for SOC 33-9091 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
- 26.3%
- GPT-4 rater basis
- 10.5%
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
12 rated tasks · 2 tasks with β ≥ 0.5 (16.7%)
- 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.
10 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)
- Definition source:
- https://www.anthropic.com/research/labor-market-impacts
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
- Monitor traffic signals and patterns
- Physically direct pedestrians and vehicles
- Report hazards and incidents
- Set up and maintain safety signs and cones
About This Occupation
If you work as a Crossing Guards and Flaggers, AI is reshaping your profession. With an automation risk of 4/100 and overall exposure at 6%, this role faces very-low transformation. The highest-impact area is monitor traffic signals and patterns at 25% automation. This is classified as an 'augment' role. BLS projects +3% growth through 2034. This hands-on role remains largely resistant to automation due to its physical and interpersonal demands.
ISCO-08 classification
Protective Services Workers Not Elsewhere Classified
Definition
ILO original text (English)
This unit group covers protective services workers not classified elsewhere in Minor Group 541: Protective Services Workers. For instance, the unit group includes lifeguards, crossing guards and animal control officers.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET33-3031.00
Fish and Game Wardens
Patrol assigned area to prevent fish and game law violations. Investigate reports of damage to crops or property by wildlife. Compile biological data.
View original - ONET33-3041.00
Parking Enforcement Workers
Patrol assigned area, such as public parking lot or city streets to issue tickets to overtime parking violators and illegally parked vehicles.
View original - ONET33-9011.00
Animal Control Workers
Handle animals for the purpose of investigations of mistreatment, or control of abandoned, dangerous, or unattended animals.
View original - ONET33-9091.00
Crossing Guards and Flaggers
Guide or control vehicular or pedestrian traffic at such places as streets, schools, railroad crossings, or construction sites.
View original - ONET33-9092.00
Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers
Monitor recreational areas, such as pools, beaches, or ski slopes, to provide assistance and protection to participants.
View original - ONET33-9099.02
Retail Loss Prevention Specialists
Implement procedures and systems to prevent merchandise loss. Conduct audits and investigations of employee activity. May assist in developing policies, procedures, and systems for safeguarding assets.
View original - ONET43-5031.00
Public Safety Telecommunicators
Operate telephone, radio, or other communication systems to receive and communicate requests for emergency assistance at 9-1-1 public safety answering points and emergency operations centers. Take information from the public and other sources regarding crimes, threats, disturbances, acts of terrorism, fires, medical emergencies, and other public safety matters. May coordinate and provide information to law enforcement and emergency response personnel. May access sensitive databases and other information sources as needed. May provide additional instructions to callers based on knowledge of and certification in law enforcement, fire, or emergency medical procedures.
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 26.3% 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.
Recent Changes Affecting This Occupation
Mar 2026: Published evergreen blog analyzing AI impact on crossing guards (4% automation risk)
[Source: Blog Wave 19]