Will AI replace admin jobs?
Updated
Database administrators score 60 of 100 for AI exposure. The largest share of their task time, 94%, is work AI speeds up while they stay in charge. AI can take over the other 6% outright.
- 6% AI can do it
- 94% AI helps
High exposure
Higher than 91% of the 923 occupations we scored.
Task by task
We graded 18 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 17 and leaves 0 to people.
| Task | AI exposure |
|---|---|
| Write and code logical and physical database descriptions and specify identifiers of database to management system, or direct others in coding descriptions. AI writes DDL and schema code well; a DBA reviews output. | 70% AI can do it |
| Review procedures in database management system manuals to make changes to database. AI interprets manual procedures; DBA applies changes carefully. | 60% AI helps |
| Select and enter codes to monitor database performance and to create production databases. AI writes SQL and monitoring scripts; DBA runs and checks them. | 58% AI helps |
| Test changes to database applications or systems. AI generates test cases and scripts; results need human validation. | 55% AI helps |
| Test programs or databases, correct errors, and make necessary modifications. AI spots and fixes common code errors; DBA verifies fixes in context. | 55% AI helps |
| Develop data models describing data elements and how they are used, following procedures and using pen, template, or computer software. AI drafts data models from requirements; stakeholder validation stays human. | 55% AI helps |
| Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management. AI rapidly surveys trends; strategic advice needs human judgement. | 50% AI helps |
| Modify existing databases and database management systems or direct programmers and analysts to make changes. AI drafts schema changes and code; DBA reviews and applies. | 45% AI helps |
| Specify users and user access levels for each segment of database. AI can draft role matrices; access rules need business sign-off. | 45% AI helps |
| Identify, evaluate and recommend hardware or software technologies to achieve desired database performance. AI summarizes technology options; recommendations need expert judgement. | 45% AI helps |
Show the other 8 tasks
| Task | AI exposure |
|---|---|
| Revise company definition of data as defined in data dictionary. AI drafts data definitions; company-wide agreement stays with people. | 45% AI helps |
| Train users and answer questions. AI answers routine user questions; live training stays with people. | 40% AI helps |
| Develop standards and guidelines for the use and acquisition of software and to protect vulnerable information. AI drafts standards documents; organization policy choices stay human. | 40% AI helps |
| Review workflow charts developed by programmer analyst to understand tasks computer will perform, such as updating records. AI can read workflow diagrams; understanding business intent needs review. | 40% AI helps |
| Provide technical support to junior staff or clients. AI handles common support queries; complex live troubleshooting stays human. | 35% AI helps |
| Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure. AI drafts security checks; humans take responsibility for risk and access decisions. | 30% AI helps |
| Plan and install upgrades of database management system software to enhance database performance. Upgrade planning aided by AI; installation needs direct system work. | 30% AI helps |
| Approve, schedule, plan, and supervise the installation and testing of new products and improvements to computer systems, such as the installation of new databases. Approval and supervision of installs stay with accountable people. | 25% AI helps |
How database administrators compare
All occupations (923)
Computer and mathematical (36)
Pay and outlook in the US
- Median pay
- $104,620 a year, May 2025
- People employed
- 69,990 in the US, May 2025
- Projected change in jobs
- -0.1% from 2024 to 2034
Skills to build
- Review AI-generated DDL and schema code before production deployment
- Tune slow queries with SQL execution plans in Microsoft SQL Server
- Write and maintain Shell script backup and recovery jobs on Linux
- Approve and supervise production installs of new databases
- Hold Microsoft Azure Database Administrator Associate certification
Safer roles nearby
5 related occupations with lower scores.
Questions about database administrators and AI
Will admin jobs be replaced by AI?
Partly. About 5 in 10 working hours for database administrators go to tasks AI can already do, mostly writing schema code and monitoring scripts. Approving installs and deciding access rights stay with the person accountable for the database.
Which tasks will AI take from database administrators?
Schema writing takes the most exposure, scoring 70, because AI writes DDL and schema code well. Reading manual procedures scores 60 and test case generation scores 55, since AI interprets procedures and drafts test scripts. The administrator reviews each output before it reaches production.
Which tasks stay with database administrators?
Approving, scheduling, and supervising new database installs scores lowest at 25, because an accountable person must sign off on the risk. Security planning scores 30, and AI drafts the checks while people make the access and risk calls. Upgrade installs stay hands-on, since they require direct work on live systems.
How do database administrators stay valuable?
Take responsibility for the decisions that carry accountability, installs, access rights, and production changes. Review every AI-written schema change in SQL against live Microsoft SQL Server or Oracle workloads before deployment. Diagnose capacity and performance incidents yourself on Linux, AWS, or Azure, where AI suggestions need checking in context.
Related jobs
Next steps for database administrators
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