Will AI replace crossing guards and flaggers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 8h (100%) stays with people. Separately, BLS expects about 3.5% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

Not in workplaces like this one, based on a 2026 review of robot deployments. 5 more tasks have only been done in factory setups built around the machine, so they stay with people here.

8h of a typical shift, or 100%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Guide or control vehicular or pedestrian traffic at such places as street and railroad crossings and construction sites. (1h 53m a shift)
• Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals. (1h 53m a shift)
• Direct or escort pedestrians across streets, stopping traffic, as necessary. (1h 19m a shift)
• Monitor traffic flow to locate safe gaps through which pedestrians can cross streets. (1h 1m a shift)
• Distribute traffic control signs and markers at designated points. (26m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 99% work outdoors in all weather every day
• 94% spend more than half the day on their feet
• 82% say dealing with the public is very or extremely important

On Indeed, job postings in the Security & Public Safety sector are at 119% of their February 2020 level (all U.S. postings: 104%), up 4.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 17,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $38,100 a year ($18.32 an hour), 25% below the median for all U.S. jobs ($50,980). Most people in this job earn between $30,840 and $61,690 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 98,000 jobs in 2035. It expects about 17,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 94,000 people in the U.S., roughly 0.06% of all workers (BLS, May 2025). That makes it the 286th largest of the 796 jobs on this site. BLS expects about 98,000 in 2035.

The most common requirement is a high school diploma: about 73% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Social Perceptiveness, Speaking
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: Microsoft Word

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Models (0m touched, $48k median pay)
• Locker Room, Coatroom, and Dressing Room Attendants (1h 46m touched, $36k median pay)
• Maids and Housekeeping Cleaners (1h 51m touched, $36k median pay)

Each task carries its own evidence label. For this job: 12 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.