Database Administrators
Administer, test, and implement computer databases, applying knowledge of database management systems. Coordinate changes to computer databases. May plan, coordinate, and implement security measures to safeguard computer databases.
How AI Impacts Each Task
18 tasks analyzed
Test programs or databases, correct errors, and make necessary modifications.
Plan, coordinate and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
Modify existing databases and database management systems or direct programmers and analysts to make changes.
Specify users and user access levels for each segment of database.
Select and enter codes to monitor database performance and to create production database.
Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions.
Work as part of a project team to coordinate database development and determine project scope and limitations.
Develop methods for integrating different products so they work properly together such as customizing commercial databases to fit specific needs.
Develop standards and guidelines to guide the use and acquisition of software and to protect vulnerable information.
Review procedures in database management system manuals for making changes to database.
Revise company definition of data as defined in data dictionary.
Review project requests describing database user needs to estimate time and cost required to accomplish project.
Establish and calculate optimum values for database parameters, using manuals and calculator.
Train users and answer questions.
Review workflow charts developed by programmer analyst to understand tasks computer will perform, such as updating records.
Approve, schedule, plan, and supervise the installation and testing of new products and improvements to computer systems, such as the installation of new databases.
Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management.
Develop data model describing data elements and how they are used, following procedures and using pen, template or computer software.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Test programs or databases, correct errors, and make necessary modifications. | 49.48Observed | 46.8% | 10% | |
| Plan, coordinate and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure. | 52.95Observed | 48.2% | 10% | |
| Modify existing databases and database management systems or direct programmers and analysts to make changes. | 54.33Observed | 48.7% | 10% | |
| Specify users and user access levels for each segment of database. | 56.65Observed | 71.9% | 5% | |
| Select and enter codes to monitor database performance and to create production database. | 41.17Observed | 65.7% | 8% | |
| Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions. | 53.27Observed | 48.3% | 8% | |
| Work as part of a project team to coordinate database development and determine project scope and limitations. | 20Estimated | 23.0% | 8% | |
| Develop methods for integrating different products so they work properly together such as customizing commercial databases to fit specific needs. | 66.33Observed | 53.5% | 6% | |
| Develop standards and guidelines to guide the use and acquisition of software and to protect vulnerable information. | 48.62Observed | 46.5% | 5% | |
| Review procedures in database management system manuals for making changes to database. | 47.05Observed | 68.0% | 3% | |
| Revise company definition of data as defined in data dictionary. | 45.6Observed | 67.4% | 3% | |
| Review project requests describing database user needs to estimate time and cost required to accomplish project. | 50Estimated | 47.0% | 4% | |
| Establish and calculate optimum values for database parameters, using manuals and calculator. | 60.55Observed | 51.2% | 5% | |
| Train users and answer questions. | 43.75Observed | 32.5% | 5% | |
| Review workflow charts developed by programmer analyst to understand tasks computer will perform, such as updating records. | 60Estimated | 51.0% | 3% | |
| Approve, schedule, plan, and supervise the installation and testing of new products and improvements to computer systems, such as the installation of new databases. | 15Estimated | 21.0% | 3% | |
| Identify and evaluate industry trends in database systems to serve as a source of information and advice for upper management. | 66.42Observed | 53.6% | 2% | |
| Develop data model describing data elements and how they are used, following procedures and using pen, template or computer software. | 54.5Observed | 48.8% | 2% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Programming is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
Service Orientation is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
Recommended Courses
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Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
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Score History
Risk score over 3 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Education Level
Prior Experience Needed
Work experience required to enter this job
Training Provided After Hiring
How long it typically takes to learn on the job
Related News
Recent articles about AI affecting this occupation
Microsoft integration lets AI agents autonomously analyze enterprise data
Pinecone's new integration with Microsoft OneLake allows AI agents to directly query massive enterprise datasets without human intermediaries. This threatens data retrieval and basic analysis roles as autonomous systems gain direct access to corporate knowledge.
TCS unveils India's first Oracle AI Data platform lab in Kolkata, eyes AI-led enterprise growth
Tata Consultancy Services is opening a dedicated Oracle AI lab in Kolkata to accelerate enterprise automation. The facility will train workers to deploy AI-powered applications at scale, signaling a surge in AI-specific IT service jobs in India.
AI Agents Are Taking Over Database Management Tasks
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Apache Cassandra 6.0 Automates Database Tasks Previously Handled by IT Teams
The latest update to the popular database software eliminates the need for manual data consistency coordination. This automation shifts the daily responsibilities of database administrators and engineering teams.
Why human database administrators will survive the shift to AI
Despite the rise of self-managing systems, complex data environments still require human oversight for edge cases, strategy, and governance. Automation is shifting the daily tasks of data professionals rather than eliminating their roles entirely.
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis