Systems | Development | Analytics | API | Testing

We keep hearing the phrase AI testing used in very different ways, often in the same meeting.

A QA crisis rarely knocks politely, it usually shows up in the middle of a normal day. One moment everything looks fine, and the next, dashboards turn red, customers hit roadblocks, or a service chain starts to unravel.

In November 2023, I flew to Germany to speak at Agile Testing Days, one of the leading software testing conferences. My keynote was called “10x Software Testing.” I knew there would be skepticism in the room.

AI now sits inside most software, whether teams planned for it or not. A recent report from Stanford HAI found that AI adoption jumped from 55 percent in 2023 to 78 percent in 2024.

Agentic AI is now moving into quality assurance (QA), and its impact is undeniable. What used to be a human-only responsibility is now becoming a shared system of humans and intelligent agents that observe, reason, and act across the stack.

Traditional crowdsourced testing has always promised scale, but it’s often come with headaches.

When product teams decide to launch globally, crowdsourced testing is one of the most talked-about approaches. But for many engineering leaders, QA managers, and product owners, the big question is where and how it fits.

Most product teams today are very good at one thing: testing what happens when a user types a prompt. Hemraj Bedassee , Delivery Excellence Practitioner,

Cyberweek 2025 demonstrated something unmistakable: the way customers shop, choose, and pay has changed permanently.