Database Architects

Database Architects score 88 out of 100, which is very high exposure to AI. That ranks #16 of 923 US occupations, where #1 is the most exposed. Of the 25 tasks in this job, AI could speed up 18 on its own and 7 more with extra software built on top of it. In April–May 2026, 14 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

88/ 100

Very high

Rank: #16of 923 jobs
US workers: 67,140BLS, May 2025
Median pay: $139,500a year
In real AI use: 14 of 25tasks, April–May 2026

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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: 18 (72%)
AI can speed this up with extra software: 7 (28%)
Little or no AI speed-up: 0 (0%)

Design databases to support business applications, ensuring system scalability, security, performance, and reliability.AI can speed this up on its own · core task · Seen in real AI use
Develop data models for applications, metadata tables, views or related database structures.AI can speed this up on its own · core task · Seen in real AI use
Set up database clusters, backup, or recovery processes.AI can speed this up on its own · core task
Create and enforce database development standards.AI can speed this up on its own · core task
Develop and document database architectures.AI can speed this up on its own · core task · Seen in real AI use
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.AI can speed this up on its own · core task · Seen in real AI use
Document and communicate database schemas, using accepted notations.AI can speed this up on its own · core task · Seen in real AI use
Demonstrate database technical functionality, such as performance, security and reliability.AI can speed this up on its own · core task
Develop or maintain archived procedures, procedural codes, or queries for applications.AI can speed this up on its own · core task · Seen in real AI use
Develop load-balancing processes to eliminate down time for backup processes.AI can speed this up on its own · core task
Provide technical support to junior staff or clients.AI can speed this up on its own · core task · Seen in real AI use
Identify and correct deviations from database development standards.AI can speed this up on its own · core task · Seen in real AI use
Plan and install upgrades of database management system software to enhance database performance.AI can speed this up on its own · core task
Develop data model describing data elements and their use, following procedures and using pen, template or computer software.AI can speed this up on its own · Seen in real AI use
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.AI can speed this up on its own · Seen in real AI use
Establish and calculate optimum values for database parameters, using manuals and calculator.AI can speed this up on its own
Test programs or databases, correct errors, and make necessary modifications.AI can speed this up on its own · Seen in real AI use
Write and code logical and physical database descriptions, and specify identifiers of database to management system or direct others in coding descriptions.AI can speed this up on its own · Seen in real AI use
Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.AI can speed this up with extra software · core task
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.AI can speed this up with extra software · core task
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.AI can speed this up with extra software · core task · Seen in real AI use
Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management.AI can speed this up with extra software
Review project requests describing database user needs to estimate time and cost required to accomplish project.AI can speed this up with extra software
Train users and answer questions.AI can speed this up with extra software · Seen in real AI use
Work as part of a project team to coordinate database development and determine project scope and limitations.AI can speed this up with extra software

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Questions about database architects and AI

Will AI replace database architects?

Probably not entirely, but the job is likely to change a lot. Database Architects score 88 out of 100 (very high exposure), #16 of 923 US jobs. AI could speed up 25 of the job's 25 tasks, 18 of them on its own. Exposure means the work is likely to change, not that the job will disappear.

Which database architects tasks can AI do?

The most exposed tasks include "Design databases to support business applications, ensuring system scalability, security, performance, and reliability"; "Develop data models for applications, metadata tables, views or related database structures"; "Set up database clusters, backup, or recovery processes".

Which database architects tasks are hardest for AI?

Every task in this job has some AI exposure, though 7 of them need extra software built around the AI.

Are people already using AI for this work?

Yes. In April–May 2026, 14 of the 25 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as database architects, and what do they earn?

About 67,140 people in the US, with median pay of $139,500 a year (BLS, May 2025).

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.