UX leadership in AI disruption — dscout case study

What the article covers

Michael Winnick, CEO of dscout, addresses UX leaders and practitioners directly about how to approach the current period of AI-driven change in the research profession. Rather than taking a position for or against AI in research, Winnick argues for treating AI as a design material that researchers should actively shape and direct.

Context

Published after a period of significant anxiety in the UX research community, including a 73% drop in UX research job postings in 2023, the article responds to a profession that has oscillated between fear of replacement and uncritical adoption of AI tools. Winnick occupies a unique vantage point as the CEO of a major research platform that is itself integrating AI features.

Key takeaway

The central argument is that UX leaders need to move past the binary debate of “AI will replace us” versus “AI will never replace us” and focus on how to direct AI capabilities toward better research outcomes. As a design material, AI has specific properties that researchers should understand: it handles pattern recognition and summarization well, it fails at context and empathy, and its outputs require the same critical evaluation that any design material demands. The article positions this moment as an opportunity for researchers to demonstrate their value by being the people who ensure AI is applied correctly in their organizations.

Who should read this

Research leaders navigating organizational conversations about AI’s role, and individual practitioners who want a framework for thinking about AI that avoids both panic and naivety.