Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help keep people safe by directing traffic and guiding pedestrians across streets or through construction zones.
Summary
The career of crossing guards and flaggers is labeled as "Evolving" because many of their tasks, like monitoring cars and issuing tickets, are being automated by AI-powered cameras and robotic flaggers. These technologies can handle simple traffic duties efficiently and at a low cost, making them attractive to towns and cities.
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Learn more about how you can thrive in this position
Summary
The career of crossing guards and flaggers is labeled as "Evolving" because many of their tasks, like monitoring cars and issuing tickets, are being automated by AI-powered cameras and robotic flaggers. These technologies can handle simple traffic duties efficiently and at a low cost, making them attractive to towns and cities.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Crossing Guard/Flagger
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Some parts of crossing-guard work are being handled by technology, but people still do the rest. For example, many towns now use AI-powered cameras at crossings to catch drivers who roll stop signs [1] [1]. These cameras take pictures of offending cars and use AI software to read the license plates automatically [2] – a job that guards used to do by writing down plate numbers.
In road‐work zones, automatic flagger machines can display STOP/SLOW signs on their own. Engineers have built solar-powered “robotic flaggers” that turn signs or lights to guide traffic without a person [3] [3]. An industry article even says these “smart cones and automated flaggers” are transforming work‐zone safety [4].
Busy crosswalks can also get help: for example, Dubai installed 14 smart crosswalks with AI sensors that detect cars and pedestrians, automatically giving warnings or changing lights to prevent accidents [5].
However, many tasks still need a real person. AI systems don’t talk to students, hold hands, or notice when a child looks scared. They can’t explain rules or comfort a frightened student.
Most U.S. schools already have surveillance cameras (about 93% of districts [6]), but adding AI to them is usually for safety monitoring, not replacing adults. Privacy and ethics experts warn that cameras in school zones must be used carefully [1]. In short, AI tools can automate simple traffic duties (monitoring cars, issuing tickets, waving flags), but human guards remain essential for personal communication, supervision, and care.

AI Adoption
Adoption of these technologies will be mixed. On the plus side, the hardware and software are becoming cheap and available. Wired magazine notes that new AI license-plate readers only cost about $50 per camera per month [2], making automated enforcement affordable even for small towns.
In fact, one town now uses cameras to log 10,000 vehicles a day [2]. Trials show big safety gains too: in one pilot, drivers’ obedience at a school crossing jumped from 3% to 94% after installing AI cameras [1]. And since most schools already have some cameras [6], adding AI can mean just a software update rather than a whole new system.
On the other hand, adoption may be slow for social and budget reasons. Crossing guards often earn modest pay, so spending on robots or cameras must be justified by safety benefits. More importantly, parents and communities trust a caring human to watch their kids.
Privacy advocates note risks too: camera systems in school zones could be “mission creep” if not rigorously limited [1]. Officials say they want to pilot-test these tools and address concerns before fully relying on them. In the end, AI might boost safety and help guards do their jobs, but experts expect it to supplement rather than replace the human-centered role of crossing guards.

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Median Wage
$37,700
Jobs (2024)
91,400
Growth (2024-34)
+3.6%
Annual Openings
18,000
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Discuss traffic routing plans and control point locations with superiors.
Direct or escort pedestrians across streets, stopping traffic as necessary.
Report unsafe behavior of children to school officials.
Communicate traffic and crossing rules and other information to students and adults.
Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals.
Stop speeding vehicles to warn drivers of traffic laws.
Distribute traffic control signs and markers at designated points.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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