Verkehrsplaner
Transport und MaterialbewegungKI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Sehr hoch· relativ
NiedrigVier relative BänderSehr hochWert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)
831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.033
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: 2025
0.47
0.09Spannweite der hier geführten Werte0.70Wert auf Berufsgruppenebene
Skala, Bezugsmenge und Quelle
Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht
ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert
Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 23% diesen Wert.
Welche Art von Wert diese Quelle veröffentlicht
Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.
Task-level exposure
Nur exponierte Aufgaben| Task | Claude.aiRaw / share % |
|---|---|
Prepare or review engineering studies or specifications.19-3099 | 0.012923.4 |
Review development plans for transportation system effects, infrastructure requirements, or compliance with applicable transportation regulations.19-3099 | 0.007814.2 |
Prepare reports or recommendations on transportation planning.19-3099 | 0.007613.7 |
Design transportation surveys to identify areas of public concern.19-3099 | 0.006912.5 |
Define regional or local transportation planning problems or priorities.19-3099 | 0.00488.7 |
Develop computer models to address transportation planning issues.19-3099 | 0.00437.8 |
Develop or test new methods or models of transportation analysis.19-3099 | 0.00407.3 |
Prepare necessary documents to obtain project approvals or permits.19-3099 | 0.00254.5 |
Analyze information from traffic counting programs.19-3099 | 0.00234.3 |
Collaborate with other professionals to develop sustainable transportation strategies at the local, regional, or national levels.19-3099 | 0.00203.5 |
| Not observed on any surface — 12 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. | |
Represent jurisdictions in the legislative or administrative approval of land development projects. | —0 |
Direct urban traffic counting programs. | —0 |
Analyze transportation-related consequences of federal and state legislative proposals. | —0 |
Produce environmental documents, such as environmental assessments or environmental impact statements. | —0 |
Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs. | —0 |
Document and evaluate transportation project needs and costs. | —0 |
Develop design ideas for new or improved transport infrastructure, such as junction improvements, pedestrian projects, bus facilities, and car parking areas. | —0 |
Analyze and interpret data from traffic modeling software, geographic information systems, or associated databases. | —0 |
Collaborate with engineers to research, analyze, or resolve complex transportation design issues. | —0 |
Recommend transportation system improvements or projects, based on economic, population, land-use, or traffic projections. | —0 |
Analyze information related to transportation, such as land use policies, environmental impact of projects, or long-range planning needs. | —0 |
Define or update information such as urban boundaries or classification of roadways. | —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 |
|---|---|
Develop computer models to address transportation planning issues.O*NET Task ID 16948 | 1.0 |
Prepare necessary documents to obtain planned project approvals or permits.O*NET Task ID 20979 | 1.0 |
Prepare or review engineering studies or specifications.O*NET Task ID 16934 | 0.5 |
Represent jurisdictions in the legislative or administrative approval of land development projects.O*NET Task ID 16935 | 0.5 |
Direct urban traffic counting programs.O*NET Task ID 16937 | 0.5 |
Develop or test new methods or models of transportation analysis.O*NET Task ID 16938 | 0.5 |
Define or update information such as urban boundaries or classification of roadways.O*NET Task ID 16939 | 0.5 |
Analyze information from traffic counting programs.O*NET Task ID 16941 | 0.5 |
Review development plans for transportation system effects, infrastructure requirements, or compliance with applicable transportation regulations.O*NET Task ID 16942 | 0.5 |
Prepare reports or recommendations on transportation planning.O*NET Task ID 16943 | 0.5 |
Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs.O*NET Task ID 16945 | 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