The Future of QA

At first glance, the future of QA seems easy to predict. We see some companies cutting back on QA roles, while more testing tasks are being automated or handled with AI tools. So, it’s natural that many are now worried that AI will eventually replace testers. 

We don’t believe it will. QA is evolving, but that doesn’t make it less important. 

This transformation has two aspects: testing with AI and testing AI-based products.

The first means using AI tools to create test cases, prepare test data, automate tests, analyze requirements, and investigate failures. Such automation makes testing faster and more efficient. But there still needs to be a competent specialist who can review the results, understand the product, and build a testing strategy based on those insights. 

The second is testing AI-powered products. These systems may include multiple AI agents, external services, complex data sources, and workflows. Due to this complexity, when something goes wrong, understanding where and why it failed is not always easy. Was the issue caused by the model, prompt, data, context, or an integration? Did one agent pass incorrect information to another? Should the system have asked for clarification or involved a human? 

This is why human judgment remains crucial. AI is good at repeating predefined checks, but testers are the ones who explore unexpected behavior, question unclear results, understand the business context, and notice when something simply doesn’t make sense. 

Sure, AI is replacing some repetitive QA tasks, but it cannot decide which risks are acceptable or take responsibility for the outcome. That requires human expertise.  

QA isn’t going away. The role is changing and, in many ways, becoming more demanding.