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In this episode of Fleet Mobility Today Expert Talks, host Daniel Bland interviews George Ayres, Managing Director of Auto Mobility Advisors, on the future of fleet and mobility heading into 2026. They explore five key themes: connectivity, service models, electrification, energy, and AI.George highlights how connected vehicle ecosystems are transforming fleet management through telematics, data sharing, and predictive analytics. Features like route optimization (especially for EVs), predictive maintenance evolving into prognostics, and usage-based insurance reduce risks and costs. On Mobility as a Service (MaaS), George explains how it optimizes fleet utilization by enabling ride-sharing and motor pools, reducing the need for dedicated vehicles and minimizing idle time. Discussing EV adoption hurdles, he identifies infrastructure costs, vehicle availability, and operational charging processes as major challenges. Innovative solutions like robotic chargers (EVbots) and Vehicle-to-Grid (V2G) technology offer ways to enhance efficiency and sustainability, though U.S. grid inconsistencies pose issues. Finally, AI agents are poised to revolutionize operations by automating dispatching, scheduling, and maintenance, cutting costs while requiring human oversight to ensure accuracy. The interview concludes with an announcement for the Fleet Manager and Mobility Club meeting on December 12th. 5 Lessons Learned Embrace Connectivity for Efficiency: Connected vehicles enable advanced tools like route optimization and prognostics, significantly improving fleet management and reducing downtime. Leverage MaaS to Optimize Resources: Mobility as a Service reduces fleet size by promoting shared usage through ride-sharing and motor pools, maximizing vehicle utilization and cutting costs. Address EV Infrastructure Challenges Proactively: High capex for charging networks can be mitigated with innovations like robotic chargers, but fleets must plan for operational reliability and grid compatibility. Utilize V2G for Sustainability Gains: Vehicle-to-Grid technology allows fleets to store and return energy, supporting resilience and cost savings, though standardization across regions is needed. Integrate AI with Human Oversight: AI agents can automate scheduling and dispatching to lower expenses, but human intervention is essential to prevent errors and build trust. Chronogram 0:00 - 0:46: Introduction to the episode, topic overview, and greeting George Ayes, highlighting his expertise in fleet mobility. 0:46 - 3:43: Discussion on connected vehicle ecosystems, including telematics, route optimization, predictive maintenance/prognostics, and usage-based insurance. 3:56 - 5:53: Exploration of Mobility as a Service (MaaS), focusing on reducing fleet size, motor pools, and improving vehicle utilization to minimize idle time. 5:56 - 9:01: Challenges in scaling EV adoption, such as infrastructure costs, vehicle types, operational requirements, and solutions like EVbots. 9:01 - 10:56: Insights on Vehicle-to-Grid (V2G) technology for energy resilience, including off-peak charging and grid inconsistencies in the U.S. 11:02 - 13:48: Impact of AI agents on fleet operations, including automation for dispatching/scheduling, cost reductions, and the need for human safeguards against hallucinations. 13:48 - 14:56: Closing remarks, thanks to George, and announcement of the Fleet Manager and Mobility Club meeting on December 12th. 🟣 / @fleetmobilitytoday 🔴 https://www.fleetmobilitytoday.com 🟢 / fleet-mobility-today 🟡Follow Daniel Bland on X: https://x.com/danielblandbiz 🔵Connect on Linkedin: / daniel-bland-0bba0a1b #FleetMobilityFuture #ConnectedVehicles #EVAdoptionChallenges #MaaSInnovation #FleetMobilityToday