What is the career growth path for a QA tester with AI skills?

H2K Infosys highlights that the career growth path for a QA tester with AI skills is rapidly expanding as organizations adopt intelligent automation and AI-driven testing. QA professionals who learn AI concepts, machine learning basics, and automation tools can transition from manual testing to AI-powered test automation, predictive analytics, and intelligent test design. Over time, they can progress into roles such as AI test engineer, test automation architect, or AI quality engineer. With experience, opportunities also open in DevOps, data validation, and AI model testing. By combining QA expertise with AI knowledge, testers can move into leadership roles and become valuable contributors to modern, AI-driven software development teams.