KI- und Machine-Learning-Spezialisten

Name: KI- und Machine-Learning-Spezialisten — published AI exposure indices
Creator: AI Changing Work

Computer und Mathematik

Wir prüfen derzeit die Datenverknüpfung dieses Berufs; einige Werte werden vorübergehend nicht angezeigt.

KI-Exposition

Datenquelle: BLSVeröffentlicht: 2026-08
Sehr hoch· relativ
NiedrigVier relative BänderSehr hoch
Wert 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
Quelldatensatz (XLSX-Download)
Datenquelle: AnthropicVeröffentlicht: 2026-03
0.461
0.000Spannweite der hier geführten Werte0.745
Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
Quelldatensatz

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

26 ausgeblendete Aufgaben anzeigen

Task	Claude.aiRaw / share %	APIRaw / share %
Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. 15-2051	0.360026.7	0.06003.7
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. 15-2051	0.180013.3	0.330020.1
Maintain or update business intelligence tools, databases, dashboards, systems, or methods. 15-2051	0.150011.1	0.230014.0
Write new functions or applications in programming languages to conduct analyses. 15-2051	0.12008.9	0.10006.1
Prepare data analysis listings and activity, performance, or progress reports. 15-2051	0.07005.2	0.14008.5
Synthesize current business intelligence or trend data to support recommendations for action. 15-2051	0.06004.4	0.15009.1
Prepare appropriate formatting to data sets as requested. 15-2051	0.06004.4	0.15009.1
Provide technical support for existing reports, dashboards, or other tools. 15-2051	0.05003.7	0.02001.2
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency. 15-2051	0.04003.0	0.01000.6
Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. 15-2051	0.04003.0	0.00000.0
Analyze, manipulate, or process large sets of data using statistical software. 15-2051	0.03002.2	0.12007.3
Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. 15-2051	0.02001.5	0.06003.7
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. 15-2051	0.02001.5	0.03001.8
Analyze competitive market strategies through analysis of related product, market, or share trends. 15-2051	0.02001.5	0.02001.2
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. 15-2051	0.02001.5	0.00000.0
Clean and manipulate raw data using statistical software. 15-2051	0.02001.5	—0
Identify or monitor current and potential customers, using business intelligence tools. 15-2051	0.01000.7	0.06003.7
Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems. 15-2051	0.01000.7	0.05003.0
Create or review technical design documentation to ensure the accurate development of reporting solutions. 15-2051	0.01000.7	0.02001.2
Identify relationships and trends or any factors that could affect the results of research. 15-2051	0.01000.7	0.02001.2
Identify and analyze industry or geographic trends with business strategy implications. 15-2051	0.01000.7	0.01000.6
Analyze clinical data using appropriate statistical tools. 15-2051	0.01000.7	0.01000.6
Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. 15-2051	0.01000.7	0.01000.6
Write work instruction manuals, data capture guidelines, or standard operating procedures. 15-2051	0.01000.7	0.00000.0
Recommend data-driven solutions to key stakeholders. 15-2051	0.01000.7	0.00000.0
Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data. 15-2051	0.00000.0	0.01000.6
Monitor work productivity or quality to ensure compliance with standard operating procedures.	—0	0.02001.2
Process clinical data, including receipt, entry, verification, or filing of information.	—0	0.01000.6
18 weitere Aufgaben anzeigen ▾Weniger anzeigen ▴

Data sources & licenses — O*NET®, Anthropic Economic Index: see full notices on the Credits page

Berufsinformationen

Aktuelle Veränderungen mit Bezug zu diesem Beruf

Aug. 2026: BLS Occupational Outlook Handbook (updated Aug 2026): employment of data scientists is projected to grow 35% from 2025 to 2035, much faster than the average for all occupations, with about 24,800 openings a year.

[Quelle: U.S. Bureau of Labor Statistics]

These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.