交通誘導員
保護サービスAI露出度
- データ出典: BLS公表時点: 2026-08
中程度· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.000
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.20
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは86%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
露出のある作業のみ| Task | Claude.aiRaw / share % |
|---|---|
Communicate traffic and crossing rules and other information to students and adults.33-9091 | 0.0030100.0 |
| Not observed on any surface — 11 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Monitor traffic flow to locate safe gaps through which pedestrians can cross streets. | —0 |
Direct or escort pedestrians across streets, stopping traffic as necessary. | —0 |
Guide or control vehicular or pedestrian traffic at such places as street and railroad crossings and construction sites. | —0 |
Report unsafe behavior of children to school officials. | —0 |
Record license numbers of vehicles disregarding traffic signals, and report infractions to appropriate authorities. | —0 |
Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals. | —0 |
Learn the location and purpose of street traffic signs within assigned patrol areas. | —0 |
Stop speeding vehicles to warn drivers of traffic laws. | —0 |
Distribute traffic control signs and markers at designated points. | —0 |
Discuss traffic routing plans and control point locations with superiors. | —0 |
Inform drivers of detour routes through construction sites. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Learn the location and purpose of street traffic signs within assigned patrol areas.O*NET Task ID 11123 | 1.0 |
Record license numbers of vehicles disregarding traffic signals, and report infractions to appropriate authorities.O*NET Task ID 11121 | 0.5 |
Monitor traffic flow to locate safe gaps through which pedestrians can cross streets.O*NET Task ID 11116 | 0.0 |
Direct or escort pedestrians across streets, stopping traffic, as necessary.O*NET Task ID 11117 | 0.0 |
Guide or control vehicular or pedestrian traffic at such places as street and railroad crossings and construction sites.O*NET Task ID 11118 | 0.0 |
Communicate traffic and crossing rules and other information to students and adults.O*NET Task ID 11119 | 0.0 |
Report unsafe behavior of children to school officials.O*NET Task ID 11120 | 0.0 |
Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals.O*NET Task ID 11122 | 0.0 |
Stop speeding vehicles to warn drivers of traffic laws.O*NET Task ID 11124 | 0.0 |
Distribute traffic control signs and markers at designated points.O*NET Task ID 11125 | 0.0 |
Discuss traffic routing plans and control-point locations with superiors.O*NET Task ID 11126 | 0.0 |
Inform drivers of detour routes through construction sites.O*NET Task ID 11127 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page