Will AI replace software quality assurance analysts and testers?
Probably not entirely, but the job is likely to change a lot. Software Quality Assurance Analysts and Testers score 88 out of 100 (very high exposure), #17 of 923 US jobs. AI could speed up 28 of the job's 30 tasks, 24 of them on its own, while 2 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which software quality assurance analysts and testers tasks can AI do?
The most exposed tasks include "Identify, analyze, and document problems with program function, output, online screen, or content"; "Document software defects, using a bug tracking system, and report defects to software developers"; "Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability".
Which software quality assurance analysts and testers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Visit beta testing sites to evaluate software performance"; "Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation".
Are people already using AI for this work?
Yes. In April–May 2026, 24 of the 30 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as software quality assurance analysts and testers, and what do they earn?
About 186,740 people in the US, with median pay of $104,300 a year (BLS, May 2025).