Joann Wu, VP and Global Head of Product Design at Uber, shares how design leaders can harness agentic AI to reduce cognitive load and turn complexity into clarity. Key topics include Uber's Earner Assistant (which surfaces real-time guidance for drivers), voice booking for riders, a four-stage AI maturity model, and the Inspire-Invest-Deliver adoption framework. Wu advocates for hands-on leadership, measurable adoption metrics, and embedding responsible AI principles—transparency, fairness, safety, and user control—from the start. Practical action items include auditing user journeys for decision debt and launching peer-led AI adoption programs.
Table of contents
Key insights for product and design leadersFrom the front lines: Joann Wu’s perspectiveTurning complexity into clarity with agentic AIFrom reactive to embedded: building AI fluencyDesigning conversations, not screensThe contrarian view: challenging the status quoYour strategic roadmap: what to do nextExpert Q&AConclusion136 Impressions