AI exposure: Crossing Guards and Flaggers
Guide or control vehicular or pedestrian traffic at such places as streets, schools, railroad crossings, or construction sites.
Reading this score
computedAt 20.6% of weighted task load, Crossing Guards and Flaggers sits at the 37th percentile, below the point where a job's centre of gravity has moved. 62.4% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is presence. Across this occupation's 12 tasks it averages 2.17 out of 3, the highest of the five friction dimensions. In plain terms, a person has to be the one present. This is the friction software does not erode. Where the point of the act is that a human is there, to care or to witness or to take responsibility in the room, automating the output misses what was being paid for.
The most exposed thing this job does is Inform drivers of detour routes through construction sites, at 80.0%. The least is Distribute traffic control signs and markers at designated points, at 0.0%. A gap of 80.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within protective service occupations, this one is more exposed than most. The median across the 26 roles in the group is 18.3%, and only 10 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 12 tasks, 3 are currently banded exposed, 3 assisted and 6 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.67 | 0-4 |
| Embodiment | 1.58 | 0-3 |
| Presence | 2.17 | 0-3 |
| Accountability | 0.92 | 0-3 |
| Context | 1.79 | 0-3 |
| Verification cost | 1.46 | 0-3 |
Task by task
12 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Inform drivers of detour routes through construction sites. | 80.0% | 20.0% | 0.0% | 3.53 | exposed |
| Communicate traffic and crossing rules and other information to students and adults. | 66.7% | 33.3% | 0.0% | 4.55 | exposed |
| Discuss traffic routing plans and control-point locations with superiors. | 50.0% | 25.0% | 25.0% | 3.78 | exposed |
| Report unsafe behavior of children to school officials. | 20.0% | 30.0% | 50.0% | 4.25 | assisted |
| Record license numbers of vehicles disregarding traffic signals, and report infractions to appropriate authorities. | 20.0% | 30.0% | 50.0% | 3.98 | assisted |
| Stop speeding vehicles to warn drivers of traffic laws. | 20.0% | 30.0% | 50.0% | 4.21 | assisted |
| Learn the location and purpose of street traffic signs within assigned patrol areas. | 13.3% | 11.7% | 75.0% | 4.11 | untouched |
| Monitor traffic flow to locate safe gaps through which pedestrians can cross streets. | 10.0% | 15.0% | 75.0% | 4.67 | untouched |
| Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals. | 8.3% | 16.7% | 75.0% | 4.53 | untouched |
| Direct or escort pedestrians across streets, stopping traffic, as necessary. | 0.0% | 0.0% | 100.0% | 4.80 | untouched |
| Guide or control vehicular or pedestrian traffic at such places as street and railroad crossings and construction sites. | 0.0% | 0.0% | 100.0% | 4.74 | untouched |
| Distribute traffic control signs and markers at designated points. | 0.0% | 0.0% | 100.0% | 4.28 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.