Will AI replace Crossing Guards and Flaggers?
Estimated risk score: 18 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 37).
For the occupation as a whole, from ratings of its 12 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 33-9091.00 · Protective Service
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 1 of its 12 rated tasks. In O*NET’s words.
- Learn the location and purpose of street traffic signs within assigned patrol areas.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 10 of its 12 rated tasks; the first 6 are shown. In O*NET’s words.
- Direct or escort pedestrians across streets, stopping traffic, as necessary.
- Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals.
- Guide or control vehicular or pedestrian traffic at such places as street and railroad crossings and construction sites.
- Monitor traffic flow to locate safe gaps through which pedestrians can cross streets.
- Communicate traffic and crossing rules and other information to students and adults.
- Report unsafe behavior of children to school officials.
What the job is
Guide or control vehicular or pedestrian traffic at such places as streets, schools, railroad crossings, or construction sites.
Also called: Crossing Guard, Adult Crossing Guard, School Crossing Guard, Patrol Lady, School Aide, Subway Guard, Patrol Mother, Train Gateman.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate