San Francisco, California – Sachin Kansal, Chief Product Officer at Uber Technologies, and Dave Ferguson, Co-founder and President of Nuro, are scheduled to lead a discussion on AI-driven mobility at TechCrunch Disrupt 2025. The session, part of the event's AI Stage program, will take place from October 27-29, 2025, at Moscone West. The executives are expected to explore the evolving relationship between artificial intelligence and transportation systems, addressing areas such as road safety improvements via predictive models and computer vision, the role of last-mile delivery as a proving ground for autonomy, and strategies for scaling AI-driven transportation.
Mr. Kansal, as Chief Product Officer at Uber Technologies, is responsible for the company’s global Mobility and Delivery product strategy. This includes critical areas such as safety, sustainability, and the development of autonomous vehicle initiatives. His work focuses on integrating AI and automation to enhance Uber's operational capabilities, spanning from optimizing ride-matching algorithms to developing next-generation logistics networks. Before his tenure at Uber, which began in 2017, Mr. Kansal served as Vice President of Product at Lookout and Chief Product Officer at Flywheel Software, following his role leading product management for the webOS mobile platform at Palm.
Mr. Ferguson co-founded Nuro, a self-driving technology company dedicated to pioneering scalable autonomy for applications including robotaxis, commercial fleets, and personal vehicles. His expertise in robotics and AI stems from significant prior roles, notably his involvement with Google’s foundational self-driving program, which later became Waymo, and his participation in Carnegie Mellon’s DARPA Urban Challenge-winning team. These experiences provide him with a comprehensive understanding of the transition from robotics research to practical transportation solutions. Mr. Ferguson's academic and professional contributions include publishing over 60 papers and securing more than 100 patents, alongside earning his MS and PhD in Robotics from Carnegie Mellon University.
The discussion is expected to provide insights into the real-world applications of AI in transportation. These include how predictive models and computer vision technologies are being leveraged to enhance road safety, the emerging role of last-mile delivery services as critical proving grounds for autonomous systems, and the strategic requirements for achieving widespread scalability of AI-driven transportation solutions. The TechCrunch Disrupt 2025 AI Stage program aims to highlight how artificial intelligence is reshaping various sectors, ranging from logistics to life sciences, with this session contributing to the understanding of AI's transformative impact on global mobility.
