SD Times Live! 6 Tasks Where AI Leads in QA

Turn test debt into test intelligence.

For decades, software testing has lagged behind the rest of software development—manual, repetitive, and slow to evolve. While developers now generate code with a single prompt, QA teams are still scripting, recording, and maintaining test cases one by one. That era is over.

In this session, we’ll explore six breakthrough areas where artificial intelligence now leads in QA—where AI doesn’t just assist, it performs. You’ll see how next-generation systems are already transforming testing from a manual bottleneck into an autonomous, continuously learning process that moves at machine speed.  Join us to discover how AI is mastering the six pillars of modern quality assurance:

1. AI Script Generation

2. API Script Generation

3. AI-Generated QA Artifacts

4. AI Conversion of Manual Test Cases

5. Natural-Language Validation (AI Assert)

6. AI-Driven Recorders

These advances represent not incremental improvement but a paradigm shift. QA has entered the generative era, where AI models can reason about user flows, infer data relationships, and produce complete test suites autonomously.