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AI Risk Comparison

Software Developers vs Database Architects

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

Safer role
Software Developers
Higher risk
Database Architects
Risk gap
2 points
TechnologyO*NET: 15-1252.00

Software Developers

Research, design, and develop computer and network software or specialized utility programs. Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Update software or enhance existing software capabilities. May work with computer hardware engineers to integrate hardware and software systems, and develop specifications and performance requirements. May maintain databases within an application area, working individually or coordinating database development as part of a team.

AI Risk Score

55/100
Medium

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

Automation factors

  • Develop or direct software system testing or validation procedures, programming, or documentation.
  • Prepare reports or correspondence concerning project specifications, activities, or status.
  • Store, retrieve, and manipulate data for analysis of system capabilities and requirements.
  • Working with Computers
  • Processing Information

Top skills

Programming4.00/5
Critical Thinking3.88/5
Judgment and Decision Making3.62/5
Reading Comprehension3.50/5
Active Learning3.50/5

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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