Will AI replace quality control analysts?
Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Quality Control Analysts score 52 out of 100 (elevated exposure), #193 of 923 US jobs. AI could speed up 22 of the job's 26 tasks, 6 of them on its own, while 4 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which quality control analysts tasks can AI do?
The most exposed tasks include "Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms"; "Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses"; "Write or revise standard quality control operating procedures".
Which quality control analysts tasks are hardest for AI?
Tasks with little or no AI speed-up include "Calibrate, validate, or maintain laboratory equipment"; "Ensure that lab cleanliness and safety standards are maintained"; "Receive and inspect raw materials".
Are people already using AI for this work?
Yes. In April–May 2026, 10 of the 26 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as quality control analysts, and what do they earn?
About 73,910 people in the US (figure for Life, Physical, and Social Science Technicians, All Other), with median pay of $62,280 a year (BLS, May 2025).