Depending on who you ask, ChatGPT is either a game-changer or just an incremental upgrade. On Test Case Scenario, we unpack how perceptions of ChatGPT have evolved and why it matters. Early adopters are immersed in its evolution and may overlook how far it’s come. Occasional users are blown away by improvements that feel like a leap forward. Here’s the real question, though. Are we celebrating meaningful progress or are we just too dazzled by small wins to demand true innovation?

Is AI development living up to the hype, or are we stuck in a loop of promises without delivery? Sure, Copilot can smooth your workflow—but is it a game-changer or just a convenience? And ChatGPT, is it a genius tool or just a glorified copy-paste assistant exposing the cracks in usability? AI tools might be shiny and new, but until they fit seamlessly into a developer's IDE and actually enhance flow, we’re stuck navigating buzzwords over breakthroughs.

AI has made waves in testing, but how much has really changed? In this episode of Test Case Scenario, Jason Baum, Evelyn Coleman, and Marcus Merrell take a critical look at the progress of AI in software testing. They discuss the real capabilities of tools like ChatGPT and Copilot, what’s improved over time, and what still leaves testers frustrated. You’ll also hear insights into how AI tools are shaping software development workflows, why cost and sustainability are becoming bigger concerns, and what testers can do to separate AI hype from practical solutions.