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Data Warehousing Specialists

Data Warehousing Specialists score 94 out of 100, which is very high exposure to AI. That ranks #7 of 923 US occupations, where #1 is the most exposed. Of the 18 tasks in this job, AI could speed up 16 on its own and 2 more with extra software built on top of it. In April–May 2026, 10 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

94/ 100
Very high
Rank
#7of 923 jobs
US workers
67,140for Database Architects
Median pay
$139,500a year
In real AI use
10 of 18tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 16 (89%)
  • AI can speed this up with extra software: 2 (11%)
  • Little or no AI speed-up: 0 (0%)
  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.AI can speed this up on its own · core task
  • Map data between source systems, data warehouses, and data marts.AI can speed this up on its own · core task · Seen in real AI use
  • Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.AI can speed this up on its own · core task
  • Design and implement warehouse database structures.AI can speed this up on its own · core task · Seen in real AI use
  • 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.AI can speed this up on its own · core task
  • Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.AI can speed this up on its own · core task · Seen in real AI use
  • 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.AI can speed this up on its own · core task
  • Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.AI can speed this up on its own · core task · Seen in real AI use
  • Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.AI can speed this up on its own · core task · Seen in real AI use
  • Create or implement metadata processes and frameworks.AI can speed this up on its own · core task
  • Review designs, codes, test plans, or documentation to ensure quality.AI can speed this up on its own · core task · Seen in real AI use
  • Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.AI can speed this up on its own · core task
  • Select methods, techniques, or criteria for data warehousing evaluative procedures.AI can speed this up on its own · core task
  • Implement business rules via stored procedures, middleware, or other technologies.AI can speed this up on its own · core task · Seen in real AI use
  • Prepare functional or technical documentation for data warehouses.AI can speed this up on its own · core task
  • Test software systems or applications for software enhancements or new products.AI can speed this up on its own · core task · Seen in real AI use
  • Verify the structure, accuracy, or quality of warehouse data.AI can speed this up with extra software · core task · Seen in real AI use
  • Provide or coordinate troubleshooting support for data warehouses.AI can speed this up with extra software · core task · Seen in real AI use

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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