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AI Risk Comparison

Software Developers vs Data Scientists

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

Safer role
Data Scientists
Higher risk
Software Developers
Risk gap
47 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: 15-2051.00

Data Scientists

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

AI Risk Score

8/100
Very Low

Lower risk: the role depends more on human judgment and context.

Automation factors

  • Provide data-driven insights and recommendations

Top skills

Recommended career pivots

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