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Conversations with the Architects
We do not chase headlines; we host the newsmakers. From the founders of unicorn startups to the CEOs of publicly traded companies, our guests join The Road to Autonomy to articulate their vision, defend their strategies, and signal their next moves.
Latest Episode
Our audience gains unparalleled, unfiltered access to the C-Suite executives, founders, and policymakers who are building and regulating the future.
From the founders of unicorn startups to the CEOs of publicly traded companies, our guests join to articulate their vision, defend their strategies, and signal their next moves.
Host
Founder, The Road to Autonomy & Co-Founder & Co-CEO AUTNMY AI
Grayson Brulte is a visionary strategist and one of the foremost authorities on autonomy, automation, and the emerging Autonomy Economy™. Widely recognized for anticipating what's next, his work sits at the intersection of innovation, policy, and emerging technology, where he serves as a trusted advisor to executive teams throughout the autonomy landscape.
Grayson coined the term Autonomy Economy to describe the convergence of automation, autonomy, commerce, and economic growth. His insights have been featured in The Wall Street Journal, Financial Times, Los Angeles Times, Bloomberg, Reuters, Forbes, CNN, and The Hollywood Reporter.
Recent Episodes
New episodes every Tuesday. Watch on YouTube, X and Spotify and listen on your favorite podcast platform.
January 27, 2026
Taking Plus AI Public
Plus AI CEO David Liu discusses the company's upcoming public merger with Churchill Capital Corp IX in February and their shift from fleet trials to an asset-light software model partnering with Traton for factory-integrated autonomous trucks. The company is training a single AI driver on globally diverse datasets and targeting a 2027 commercial launch for their autonomous trucking technology that aims to automate the freight industry.
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January 20, 2026
Who Insures the Personally Owned Robotaxi Fleet?
Sergey Litvinenko, CEO of Koop, discusses the insurance challenges for individually-owned robotaxi fleets as Tesla prepares to scale the Cybercab in 2026, where personal owners form companies to operate commercial autonomous vehicle businesses. The conversation focuses on how real-world behavioral data from autonomous vehicles creates more accurate risk assessment than traditional metrics, and how specialized insurance frameworks can manage liability between fleet owners and manufacturers to enable third-party ownership in the autonomy economy.
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January 13, 2026
De-Risking Autonomy with Optionality
Kodiak CEO Don Burnette discusses the company's asset-light business model where partners own and operate trucks while Kodiak focuses on developing AI software, reducing operational risk. The autonomous trucking company is preparing to launch driverless commercial operations in late 2025 and has partnered with Bosch to create a redundant, OEM-agnostic platform that can scale across multiple truck manufacturers.
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December 30, 2025
How the Permian Basin is Accelerating Kodiak’s Commercialization Plans
Kodiak Robotics is leveraging operations in the Permian Basin as a testing ground to harden its autonomous trucking technology against extreme weather and challenging road conditions through a partnership with Atlas Energy Solutions. The company expects these industrial applications and learnings to accelerate its timeline for launching driverless highway operations in the second half of 2026.
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December 23, 2025
Automating Logistics Yards with Computer Vision
Terminal Industries CEO Darin Brannan discussed how his company is replacing traditional RFID and manual logistics yard management with a computer vision platform that operates reliably in real-world conditions including weather, dirt, and glare. The company is developing an agentic AI-powered operating system that connects warehouse operations to transportation, moving beyond point solutions toward fully autonomous yard management.
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December 16, 2025
Self-Driving on 33 Watts: How HYPR Labs Trained a Model for Just $850
HYPR Labs has developed an autonomous driving system that operates on just 33 watts of computing power using an end-to-end neural network trained on real-world data for $850, without relying on simulation or HD maps. The company's four-engineer team focuses on "learning velocity" and continuous learning from actual driving experiences in San Francisco, contrasting with the industry's typical approach of large teams and massive computational resources.
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The Future is Bright. The Future is Autonomous. The Future is The Road to Autonomy.