Comprehensive AI automation risk analysis and career outlook for Software Quality Assurance Analysts and Testers professionals
Yes, AI is likely to significantly impact Software Quality Assurance Analysts and Testers roles. With a 88% automation risk, many core tasks in this occupation could be automated in the coming years. However, human oversight and specialized skills may still be valuable.
Develop and execute software tests to identify software problems and their causes. Test system modifications to prepare for implementation. Document software and application defects using a bug tracking system and report defects to software or web developers. Create and maintain databases of known defects. May participate in software design reviews to provide input on functional requirements, operational characteristics, product designs, and schedules.
Based on human expert analysis
This occupation has a high likelihood of being significantly impacted by AI automation. Many core tasks could be automated in the near future.
Risk assessment based on the "GPTs are GPTs" research by OpenAI, analyzing task-level automation potential.
Latest data from Bureau of Labor Statistics
Detailed breakdown of how AI might impact specific tasks in this role