Software testers are still needed even with AI automation, but their roles are evolving rather than disappearing. AI can automate repetitive tasks like regression testing, test data creation, self-healing scripts, and basic defect detection, improving speed and efficiency. However, companies still rely on skilled testers to design test strategies, validate AI outputs, perform exploratory testing, and evaluate real user experience. In 2026, demand is increasing for testers who understand automation, cloud testing, and basic AI concepts. Roles like AI QA Engineer, Quality Engineer, and Test Automation Architect are growing. Instead of replacing testers, AI is helping them focus on complex scenarios, strategic quality leadership, and delivering higher quality software.