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AI Risk Comparison

Database Administrators vs Database Architects

Compare AI replacement risk, automatable work, resilient skills, and potential career pivots for both occupations.

Safer role
Database Administrators
Higher risk
Database Architects
Risk gap
4 points
TechnologyO*NET: 15-1242.00

Database Administrators

Administer, test, and implement computer databases, applying knowledge of database management systems. Coordinate changes to computer databases. Identify, investigate, and resolve database performance issues, database capacity, and database scalability. May plan, coordinate, and implement security measures to safeguard computer databases.

AI Risk Score

53/100
Medium

Moderate risk: AI can reshape important parts of the role.

Automation factors

  • Modify existing databases and database management systems or direct programmers and analysts to make changes.
  • Plan, coordinate, and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
  • Plan and install upgrades of database management system software to enhance database performance.
  • Working with Computers
  • Analyzing Data or Information

Top skills

Critical Thinking3.88/5
Complex Problem Solving3.88/5
Reading Comprehension3.75/5
Active Listening3.75/5
Judgment and Decision Making3.75/5

Recommended career pivots

TechnologyO*NET: 15-1243.00

Database Architects

Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.

AI Risk Score

57/100
Medium

Moderate risk: AI can reshape important parts of the role.

Automation factors

  • Develop and document database architectures.
  • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
  • Develop data models for applications, metadata tables, views or related database structures.
  • Working with Computers
  • Analyzing Data or Information

Top skills

Reading Comprehension3.88/5
Critical Thinking3.88/5
Complex Problem Solving3.88/5
Judgment and Decision Making3.88/5
Systems Analysis3.75/5

Recommended career pivots

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