Technology · SOC 15-1242
AI writes and optimizes queries and schema changes; DBAs shift to governance, performance tuning, and cloud migration oversight.
A large share of tasks is exposed; the role will change a lot.
Timeline: AI tools like GitHub Copilot already generate DDL and stored procedures reliably; the traditional DBA role shrinks markedly within 4-6 years as cloud-managed databases absorb routine administration.
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$71,490 median pay
$135,980 median pay
$102,610 median pay
$103,300 median pay
$132,000 median pay
$103,790 median pay
AI job-risk card
Database Administrators is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Database Administrators is 65/100 (At risk). A large share of tasks is exposed; the role will change a lot.
65 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Writing and modifying database schemas and code, Testing and correcting database applications, Specifying user access controls from requirements, Scheduling and documenting installation of new database systems. Harder to automate: Approving architectural changes with business risk awareness, Diagnosing performance bottlenecks in complex production systems, Overseeing security compliance and audit requirements.
Lean into Cloud database management (AWS RDS, Azure SQL), Database performance tuning, AI-assisted query optimization, Data governance and compliance, DevOps for databases. Consider roles such as Cloud Data Engineer or Database Reliability Engineer or Data Platform Architect.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.