Operations-Research-Analysten
Computer und MathematikKI-Exposition
- Datenquelle: BLSVeröffentlicht: '26.08
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: '26.03
0.429
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: '25
0.56
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 8% 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 % | APIRaw / share % |
|---|---|---|
Prepare management reports defining and evaluating problems and recommending solutions.15-2031 | 0.119230.8 | 0.032616.2 |
Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.15-2031 | 0.074719.3 | 0.01698.4 |
Analyze information obtained from management to conceptualize and define operational problems.15-2031 | 0.073919.1 | 0.091445.4 |
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.15-2031 | 0.038810.0 | 0.00884.4 |
Break systems into their component parts, assign numerical values to each component, and examine the mathematical relationships between them.15-2031 | 0.03168.2 | 0.02009.9 |
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.15-2031 | 0.01794.6 | 0.00733.6 |
Define data requirements and gather and validate information, applying judgment and statistical tests.15-2031 | 0.01453.7 | 0.01869.3 |
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.15-2031 | 0.01453.7 | 0.00251.3 |
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.15-2031 | 0.00240.6 | 0.00321.6 |
| Not observed on any surface — 5 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. | ||
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions. | —0 | —0 |
Perform validation and testing of models to ensure adequacy and reformulate models as necessary. | —0 | —0 |
Specify manipulative or computational methods to be applied to models. | —0 | —0 |
Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources. | —0 | —0 |
Develop and apply time and cost networks to plan, control, and review large projects. | —0 | —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 |
|---|---|
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.O*NET Task ID 7377 | 1.0 |
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.O*NET Task ID 7385 | 1.0 |
Specify manipulative or computational methods to be applied to models.O*NET Task ID 7386 | 1.0 |
Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.O*NET Task ID 7388 | 1.0 |
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.O*NET Task ID 7378 | 0.5 |
Analyze information obtained from management to conceptualize and define operational problems.O*NET Task ID 7379 | 0.5 |
Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.O*NET Task ID 7380 | 0.5 |
Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.O*NET Task ID 7381 | 0.5 |
Define data requirements, and gather and validate information, applying judgment and statistical tests.O*NET Task ID 7382 | 0.5 |
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.O*NET Task ID 7383 | 0.5 |
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
Occupation information
Aktuelle Veränderungen mit Bezug zu diesem Beruf
März 2026: New blog post analyzing AI impact on operations research analyst careers with 50% exposure and 32% automation risk.
[Quelle: AI Changing Work Blog]