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AI Risk Comparison

Mathematicians vs Computer and Information Research Scientists

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

Safer role
Mathematicians
Higher risk
Computer and Information Research Scientists
Risk gap
2 points
TechnologyO*NET: 15-2021.00

Mathematicians

Conduct research in fundamental mathematics or in application of mathematical techniques to science, management, and other fields. Solve problems in various fields using mathematical methods.

AI Risk Score

48/100
Medium

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

Automation factors

  • Conduct research to extend mathematical knowledge in traditional areas, such as algebra, geometry, probability, and logic.
  • Analyzing Data or Information
  • Updating and Using Relevant Knowledge
  • Processing Information

Top skills

Mathematics5.00/5
Critical Thinking4.12/5
Reading Comprehension4.00/5
Active Learning4.00/5
Complex Problem Solving4.00/5

Recommended career pivots

TechnologyO*NET: 15-1221.00

Computer and Information Research Scientists

Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.

AI Risk Score

50/100
Medium

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

Automation factors

  • Analyze problems to develop solutions involving computer hardware and software.
  • Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
  • Assign or schedule tasks to meet work priorities and goals.
  • Working with Computers
  • Updating and Using Relevant Knowledge

Top skills

Critical Thinking4.00/5
Complex Problem Solving4.00/5
Judgment and Decision Making4.00/5
Reading Comprehension3.75/5
Active Listening3.75/5

Recommended career pivots

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