In the AI era, QA testers don’t always need deep coding skills, but basic programming knowledge is becoming increasingly valuable. In 2026, AI tools automate repetitive testing tasks, yet testers still design test strategies, validate AI-generated results, and handle complex scenarios. Knowing scripting languages like Python or Java helps in automation, AI testing tool integration, and test data handling. However, strong analytical thinking, understanding application workflows, and knowledge of testing concepts remain equally important. Many successful QA professionals combine manual testing expertise with basic automation and AI tool usage. So coding is not mandatory for all roles, but it significantly improves career growth, salary potential, and job opportunities.