We explore why AI in UX research often fails to save time, examining how Lucas Plabst, Jeff Sauro, and Jim Lewis found that participants provide shallower insights to AI moderators, while Patrick Neeman argues that most AI failures are organizational bottlenecks rather than technical ones. We also discuss Luke Wroblewski’s critique of forcing users to ask questions and how the shift toward AI-driven discovery is turning websites from exploration spaces into high-precision validation interfaces. Finally, we touch on the rising threat of sophisticated phishing scams targeting designers and the financial pressures students face when maintaining reliable hardware.
