The Future of Software Testing

AI won't replace testers. But it will replace the testers who don't evolve.

Software testing is undergoing its most significant transformation since the discipline began - and most organizations are approaching it backwards. They're asking "which tasks can AI automate?" when the real question is "how do we govern decisions when AI makes recommendations at machine speed and humans remain accountable for the consequences?" The Future of Software Testing is a practical, experience-driven guide for testers, QA leaders, and enterprise technology executives navigating that shift - written from close to three decades inside large-scale, regulated delivery environments, with a specific focus on Banking, Financial Services, and Insurance (BFSI). Drawing on 20+ real enterprise case narratives, this book moves past the hype cycle to answer the questions leaders are facing:

- Why do vendor claims of "fully autonomous testing" keep falling short in production?

- What happens to testing careers when execution-based work is automated?

- How do you govern AI-driven quality decisions when a wrong call has regulatory or financial consequences?

- What does a modern QA operating model look like once AI is embedded across the entire delivery lifecycle?

WHO THIS BOOK IS FOR:

Testing professionals planning their next career move, delivery leaders responsible for AI adoption decisions, and executives who need to understand what responsible AI governance in software delivery requires.