Auto Intelligence (AI)
Auto Intelligence is the definitive automotive industry podcast that delivers sharp takes and authoritative insights every Tuesday, Thursday, and Saturday. Hosted by Steve and Claire from the Auto Agentic team, this show breaks down the most consequential developments shaping the future of mobility.
Whether you're enjoying your morning coffee or catching up during your commute, Auto Intelligence provides the perfect blend of deep industry expertise and engaging conversation. Each episode features data-driven analysis, expert perspectives, and forward-looking insights on everything from electric vehicles and autonomous driving to dealership operations and consumer trends.
Our hosts bring complementary viewpoints to every topic—Steve with his technical expertise and market analysis, and Claire with her consumer-focused insights and strategic perspective. Together, they make even the most complex automotive topics accessible and engaging.
Auto Intelligence isn't just about reporting industry news—it's about understanding the forces driving transformation, identifying emerging opportunities, and helping listeners stay ahead of the curve in an industry experiencing unprecedented change.
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Auto Intelligence is brought to you by Auto Agentic, a pioneering AI-driven platform transforming automotive retail. Learn more at autoagentic.ai.
Auto Intelligence (AI)
Two Empires, One Frontier: How China and the West took Diverging Roads to AI Supremacy
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The global automotive AI race began in a Toronto lab. This comprehensive episode reveals how Geoffrey Hinton's neural network breakthrough at University of Toronto became the foundation that both China and the West built their competing autonomous vehicle strategies upon.
While American companies like Waymo and Tesla commercialized Hinton's Canadian invention into "super-intelligent vehicles," China's strategic response created an entirely different model of "ecosystem intelligence." The 2016 AlphaGo victory triggered China's massive AI mobilization, leading to real-world successes like Hangzhou's 15-20% commute time reduction through AI traffic management.
Featured analysis covers how US export controls backfired, forcing China to open-source platforms like Baidu's Apollo system. Canadian companies like Waabi, founded by Raquel Urtasun, are now pioneering a potential third way with responsible AI approaches.
The episode examines Canada's unique position as the birthplace of automotive AI and whether the Toronto-Waterloo corridor can leverage its foundational role to influence the global trajectory of autonomous vehicles.
Target Audience: Automotive executives, technology strategists, policy makers, Canadian tech leaders
Primary Keywords: Canadian AI leadership, automotive AI, Geoffrey Hinton, Toronto technology
Secondary Keywords: neural networks, autonomous vehicles, Baidu Apollo, smart transportation
Auto Agentic (www.autoagentic.ai) is an automotive intelligence company architecting how AI actually operates across dealership organizations.
Founded in 2024, Auto Agentic was created to solve a problem no vendor was addressing: automotive didn’t lack AI tools—it lacked intelligence architecture. As features multiplied, coordination worsened, insight fragmented, and transformation stalled.
Auto Agentic exists to change that.
We design agentic intelligence systems that unify operations, coordinate data and workflows, and enable organizations to move from fragmented automation to connected, predictive, and self-improving intelligence.
Our work is built on three foundations:
• the Automotive Intelligence Pyramid
• a coordinated agentic architecture of 75+ automotive-native agents
• and systematic transformation partnerships
Auto Agentic is SOC 2 Type II certified and trusted in regulated environments.
We don’t deliver tools. We build operating intelligence.
We partner with dealer groups and OEMs to architect how intelligence flows across their organizations—creating companies that coordinate rather than hand off, predict rather than react, and build advantages that compound over time.