McKinsey reports that 64% of companies see AI improving innovation, but only one-third have scaled AI past initial pilots.
2026 will present new challenges for research teams. That gap between innovation and scale is exactly where research leaders are being pulled in, especially as teams look for guidance on how to adopt AI-driven workflows without compromising quality, judgment, or trust.
At the same time, ethical considerations are rising. As AI becomes more embedded in product experiences, customers and organizations are expecting greater transparency, clearer decision-making boundaries, and more inclusive design that accounts for cognitive load and diverse user needs. Research leaders are being asked to define these guardrails, not simply react to them.
Join us on January 21 at 10:00 am PT for an intimate roundtable for senior UX research trailblazers led by Karen Eisenhauer, research leader. Together, we will explore predictions shaping the craft in the year ahead, including AI as a research partner, evolving expectations for quality and trust, adaptive research models, and modern approaches for demonstrating impact in an AI-accelerated environment.
This session is designed for candid peer discussion. Come ready to exchange ideas, share what is working, and leave with practical frameworks you can apply immediately.