Architectes de Bases de Donnees
Informatique et MathématiquesExposition à l'IA
- Source des données: BLSPublié: 2026-08
Très élevée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: 2026-03
0.579
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
- Source des données: ILOPublié: 2025
0.57
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur
Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 7% atteignent ou dépassent cette valeur.
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Task-level exposure
Tâches exposées uniquement| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.15-1243 | 1.470080.8 | 1.350081.8 |
Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.15-1243 | 0.09004.9 | 0.08004.8 |
Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.15-1243 | 0.07003.8 | 0.01000.6 |
Train users and answer questions.15-1243 | 0.06003.3 | 0.00000.0 |
Provide technical support to junior staff or clients.15-1243 | 0.04002.2 | 0.00000.0 |
Develop and document database architectures.15-1243 | 0.02001.1 | 0.01000.6 |
Write and code logical and physical database descriptions, and specify identifiers of database to management system or direct others in coding descriptions.15-1243 | 0.02001.1 | 0.01000.6 |
Test software systems or applications for software enhancements or new products.15-1243 | 0.01000.5 | 0.10006.1 |
Design databases to support business applications, ensuring system scalability, security, performance, and reliability.15-1243 | 0.01000.5 | 0.01000.6 |
Provide or coordinate troubleshooting support for data warehouses.15-1243 | 0.01000.5 | 0.01000.6 |
Identify and correct deviations from database development standards.15-1243 | 0.00000.0 | 0.00000.0 |
Develop data model describing data elements and their use, following procedures and using pen, template or computer software.15-1243 | 0.00000.0 | 0.00000.0 |
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.15-1243 | 0.00000.0 | —0 |
Document and communicate database schemas, using accepted notations.15-1243 | 0.00000.0 | —0 |
Develop data models for applications, metadata tables, views or related database structures.15-1243 | 0.00000.0 | —0 |
Map data between source systems, data warehouses, and data marts.15-1243 | 0.00000.0 | —0 |
Design and implement warehouse database structures.15-1243 | 0.00000.0 | —0 |
Develop or maintain archived procedures, procedural codes, or queries for applications. | —0 | 0.00000.0 |
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs. | —0 | 0.00000.0 |
| Not observed on any surface — 20 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. | ||
Set up database clusters, backup, or recovery processes. | —0 | —0 |
Plan and install upgrades of database management system software to enhance database performance. | —0 | —0 |
Develop load-balancing processes to eliminate down time for backup processes. | —0 | —0 |
Demonstrate database technical functionality, such as performance, security and reliability. | —0 | —0 |
Create and enforce database development standards. | —0 | —0 |
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements. | —0 | —0 |
Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements. | —0 | —0 |
Establish and calculate optimum values for database parameters, using manuals and calculators. | —0 | —0 |
Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management. | —0 | —0 |
Review project requests describing database user needs to estimate time and cost required to accomplish project. | —0 | —0 |
Work as part of a project team to coordinate database development and determine project scope and limitations. | —0 | —0 |
Review designs, codes, test plans, or documentation to ensure quality. | —0 | —0 |
Prepare functional or technical documentation for data warehouses. | —0 | —0 |
Select methods, techniques, or criteria for data warehousing evaluative procedures. | —0 | —0 |
Develop and implement data extraction procedures from other systems, such as administration, billing, or claims. | —0 | —0 |
Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases. | —0 | —0 |
Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing. | —0 | —0 |
Create or implement metadata processes and frameworks. | —0 | —0 |
Develop data warehouse process models, including sourcing, loading, transformation, and extraction. | —0 | —0 |
Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements. | —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 |
|---|---|
Provide technical support to junior staff or clients.O*NET Task ID 16099 | 1.0 |
Set up database clusters, backup, or recovery processes.O*NET Task ID 16100 | 1.0 |
Plan and install upgrades of database management system software to enhance database performance.O*NET Task ID 16102 | 1.0 |
Identify and correct deviations from database development standards.O*NET Task ID 16104 | 1.0 |
Document and communicate database schemas, using accepted notations.O*NET Task ID 16105 | 1.0 |
Develop or maintain archived procedures, procedural codes, or queries for applications.O*NET Task ID 16106 | 1.0 |
Develop load-balancing processes to eliminate down time for backup processes.O*NET Task ID 16107 | 1.0 |
Develop data models for applications, metadata tables, views or related database structures.O*NET Task ID 16108 | 1.0 |
Design databases to support business applications, ensuring system scalability, security, performance, and reliability.O*NET Task ID 16109 | 1.0 |
Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.O*NET Task ID 16110 | 1.0 |
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