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How Code is Rewriting the Automotive Playbook

The Paradigm Shift

As Dr. Rudi Ostermann, CTO at TE Connectivity, explained: "We are at a turning point. The car is no longer just a machine; it's a digital platform that can evolve and improve throughout its life." This fundamental shift from hardware-centric to software-driven vehicles is happening faster than most realize—McKinsey projects that over 80% of new vehicles in North America and Europe will have significant software-updatable features by 2027.

Business Model Revolution

The traditional automotive business model is being completely rewritten. Companies like BMW are experimenting with monthly subscriptions for heated seats and adaptive cruise control, while Mercedes-Benz offers "Acceleration Increase" software unlocks for their EQ electric vehicles. Tesla pioneered this over-the-air update approach, but now every major automaker is racing to catch up.

Dealership Transformation

Perhaps no group feels this shift more acutely than auto dealerships. As WardsAuto analysis noted: "With the advent of over-the-air software updates managed by OEMs, the roles of managing and servicing vehicles become increasingly ambiguous." Dealerships must evolve from traditional service providers to digital concierges, with technicians as comfortable with code as carburetors.

The threat of disintermediation is real—Tesla, Rivian, and Lucid already sell cars online with minimal dealer involvement. However, forward-thinking dealers are finding new opportunities, experimenting with "feature fairs" where customers can test-drive capabilities before subscribing.

Consumer Impact

For drivers, SDVs promise unprecedented flexibility. AAA reports that annual maintenance costs for electric SDVs are about 30% lower than traditional vehicles, though ADAS repairs after collisions can be 2-3 times higher. IDTechEx projects that by 2034, the average North American car buyer will spend about $70 monthly on software features, up from $15 in 2023.

Fleet operators are seeing immediate benefits. According to Geotab, SDV-enabled fleets can reduce downtime by up to 25% and maintenance costs by 15%, making them particularly attractive for shared mobility applications.

Challenges Ahead

The transformation isn't without hurdles. The industry faces a global shortage of software engineers, cybersecurity experts, and data scientists. A Pew Research survey found that 68% of drivers are "very concerned" about how their vehicle data is used and shared. Regulatory bodies like NHTSA and UNECE are scrambling to develop guidelines for software recalls and OTA updates.

The Road Ahead

As Boston Consulting Group concluded: "The magnitude of change that the software-defined vehicle represents cannot be overstated. They can benefit individuals and society at large—and will alter the auto industry."

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.

Send us Fan Mail

AI Transforms Automotive Design: From Clay Models to Digital Creativity in Weeks, Not Months

The automotive design revolution is happening faster than anyone predicted. What once took months of clay modeling and iterative sketching now occurs in weeks through AI-powered tools, fundamentally reshaping how vehicles are conceived and created.

The Numbers Tell the Story: The global automotive AI market is exploding from $14.15 billion in 2023 to a projected $734.97 billion by 2032—a staggering 55.1% annual growth rate that signals complete industry transformation, not just adoption.

Key Industry Developments:

Generative AI Breakthrough: Toyota's FelGAN system allows designers to input parameters like weight and material constraints, instantly receiving hundreds of optimized design alternatives. Meanwhile, Audi's Generative Adversarial Networks create wheel designs so realistic that "even the human eye cannot, or can only barely, distinguish them from real photos."

Human-AI Collaboration: Despite fears of replacement, industry leaders emphasize augmentation over automation. Mercedes-Benz Chief Design Officer Gorden Wagener explains: "The goal is not to replace designers, but to work alongside AI to unlock new ideas that humans might miss." Alan Macey from ArtCenter College of Design notes that AI tools can get "any untrained person 95% of the way there" in professional design quality.

Manufacturing Revolution: Ford's digital twin technology has reduced design time by 25%, while Tesla's AI-driven robotic systems achieved 35% production efficiency increases and 40% defect reductions. BMW's virtual simulations have boosted production efficiency by 30%.

Personalization at Scale: Tesla's AI personalization system uses camera and seat sensors to map driver routines, automatically adjusting everything from climate to entertainment. Smart Eye's Automotive Interior Sensing AI has secured 320 design wins from 21 OEMs, with lifetime value exceeding 7.35 billion Swedish kronor.

Market Reality Check: 78% of automotive manufacturers have implemented AI in operations as of early 2025, up from 62% just two years ago. The integration spans from Tier One manufacturers with full AI integration to experimental implementations across the industry.

Looking Ahead: Mercedes-Benz's Gorden Wagener offers a bold prediction: "In ten years, maybe most of the design will be done by AI." While the timeline may be aggressive, McKinsey projects 3.5 million autonomous vehicles on U.S. roads by 2025, with 60% of global cars featuring Level 2 autonomy.

The Bottom Line: AI isn't replacing human creativity in automotive design—it's amplifying it to unprecedented levels. As Toyota's Avinash Balachandran observed, the future lies in combining "traditional engineering strengths with state-of-the-art capabilities of modern generative AI."

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.

Send us Fan Mail

The Human Side of Autonomous Vehicles: When Communities Fight Back
While companies like Waymo, Cruise, and Tesla tout the safety, efficiency, and accessibility benefits of self-driving technology, communities across North America are pushing back—sometimes in surprising ways.

The episode begins with the unexpected battleground of Santa Monica, California, where residents weren't disturbed by the autonomous driving but rather by the incessant beeping of Waymo's fifty-six vehicle fleet. This noise pollution led to creative protest tactics, with locals "stacking" or "coning" the vehicles by placing objects on their hoods to exploit their safety protocols, forcing them to remain frozen until manually reset.

Things escalated dramatically during the "No Kings" protests in Los Angeles in June 2025, when five Waymo vehicles were torched, leading to service suspensions across multiple cities. As Waymo spokesperson Sandy Karp confirmed, the company suspended operations in Southern California, San Francisco, Austin, Atlanta, and Phoenix following these incidents.

Deeper concerns are driving this resistance: loss of local control over public spaces, opaque deployment processes, and regulatory systems that seem to favor corporate interests over community input. As one resident told Fox Business, "We've reached out to the city. We've called Waymo. Now, some are trying unconventional tactics."

Beyond community pushback, Steve and Claire explore the potential massive job displacement, with RethinkX estimating up to five million jobs could be lost in the US alone—including 3.5 million truck drivers. The World Economic Forum's 2025 Future of Jobs report projects 92 million roles could be displaced globally by 2030 due to AI and automation, though it also forecasts a net gain of 78 million new jobs in other sectors.

Privacy concerns take center stage as well, with MIT's Iyad Rahwan's Moral Machine experiment revealing deep cultural divides on how autonomous vehicles should make ethical decisions in unavoidable crash scenarios. Meanwhile, Professor Yingling Fan of the University of Minnesota warns that without careful planning, AVs could worsen existing transportation inequities rather than improve them.

Environmental impacts receive surprising scrutiny, with MIT researcher Soumya Sudhakar revealing that the computing power required for autonomous vehicles could generate greenhouse gas emissions equivalent to Argentina's annual output. If 95% of the global fleet becomes autonomous by 2050, hardware efficiency would need to double every 1.1 years to prevent emissions from "spiralling out of control."

The episode concludes with Waymo co-CEO Tekedra Mawakana's insight: "People don't trust what they're not familiar with... We see people take their first ride and they go from a skeptic, naturally, to a fan because the ride, in some ways, is not very exciting—and we don't want the ride to be exciting." 

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.

Send us Fan Mail

A Deep Dive into Next-Generation Energy Storage

As electric vehicle adoption accelerates and supply chain vulnerabilities become critical strategic concerns, a fierce technological race has emerged between solid-state, sodium-ion, and advanced manufacturing innovations that will reshape the automotive landscape.

The Lithium-Ion Plateau and China's Strategic Dominance

Current lithium-ion technology is approaching theoretical energy density limits while China maintains control over 60% of global battery production capacity, creating both technological and geopolitical imperatives for innovation.

Solid-State Breakthroughs: From Lab to Road

The most significant developments in 2025 have validated solid-state batteries as commercially viable. Stellantis and Factorial Energy achieved a major milestone in April 2025, successfully validating automotive-sized solid-state battery cells with 375 Wh/kg energy density that can fast charge from 15% to 90% in just 18 minutes while operating in extreme temperatures from -30°C to 45°C. 

Mercedes-Benz made history in February 2025 when their engineers, collaborating with Factorial, brought the first car powered by a lithium-metal solid-state battery to public roads. Meanwhile, Toyota's partnership with Idemitsu Kosan continues advancing solid-state commercialization, while QuantumScape completed installation of their revolutionary "Cobra" heat treatment system in December 2024, achieving 844 Wh/L energy density with 12.2-minute fast-charging capabilities.

Sodium-Ion: The Abundant Alternative

Sodium-ion technology offers a compelling alternative focused on supply chain independence and cost reduction. With sodium being approximately 1,000 times more abundant than lithium, these batteries promise 20-30% cost advantages over lithium-based alternatives while eliminating dependence on geopolitically sensitive supply chains.

Manufacturing Revolution and Economic Transformation

Tesla's 2019 acquisition of Maxwell Technologies brought dry electrode processing technology that's now being adopted globally by companies including Panasonic, LG, and CATL. This manufacturing innovation dramatically reduces factory footprint and energy consumption while improving production economics.

Safety Innovations and Fast-Charging Breakthroughs

BYD's Blade Battery has set new safety standards by passing the rigorous nail penetration test using lithium iron phosphate chemistry in a unique form factor. University of Waterloo researchers achieved remarkable fast-charging capabilities, developing architectures that enable 0-80% charging in under 15 minutes without degradation.

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.

Send us Fan Mail

The cybersecurity landscape has deteriorated rapidly. According to Upstream Security's latest analysis, the automotive sector experienced 409 publicly reported cybersecurity incidents in 2024—a staggering 39% increase from the 295 incidents recorded in 2023. Even more concerning, massive-scale attacks impacting millions of vehicles jumped from just 5% of incidents in 2023 to 19% in 2024—a nearly four-fold increase that signals a fundamental shift in how cybercriminals are targeting our industry.

VicOne's 2025 Automotive Cybersecurity Report, released this past March, estimates that cyberattacks between 2022 and 2024 cost the industry tens of billions of dollars. This isn't theoretical risk anymore—it's real financial impact hitting bottom lines across the entire automotive ecosystem, from OEMs to suppliers to dealerships.

The Technical Reality: Rolling Supercomputers Under Attack

Modern vehicles have evolved into what the industry now calls software-defined vehicles (SDVs), containing over 100 million lines of code—with some projections suggesting this could reach 650 million lines by the end of 2025. To put this in perspective, that's more complex than most enterprise software systems running Fortune 500 companies.

The latest VicOne data reveals that 77% of automotive vulnerabilities are found within onboard systems—not in charging infrastructure or cloud platforms, but in the cars themselves. The infotainment system used to stream music could be the same pathway a hacker uses to access critical vehicle functions.

Criminal Sophistication: Organized Groups Target Automotive

We're no longer dealing with individual hackers. Organized criminal groups like Cactus, LockBit, Play, and 8Base are specifically targeting the automotive industry with significant resources and coordination. These groups have exploited vulnerabilities in VPN appliances and cloud platforms to disrupt OEMs, dealerships, and supply chains with devastating effect.

The Path Forward: Security by Design

As Max Cheng, CEO of VicOne, notes: "A proactive, multilayered approach to cybersecurity across all levels of the supply chain will help the automotive industry stay ahead of evolving threats and thrive in pursuing the unprecedented opportunities ahead."

The industry must embrace what experts call "security by design"—building protection into every layer from the ground up rather than bolting security onto existing systems. This includes the critical capability for over-the-air security updates, which has evolved from a convenience feature to a fundamental requirement.

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.

Send us Fan Mail

Off the Grid, Into the Future: When Mobility Meets Science Fiction

The episode opens with a look at the viral “robotic horse” video. While stunning, CNET confirmed the footage was computer-generated—reminding us that there's a line between visionary concepts and current reality. Still, quadruped robotics are very real and already deployed in rugged, real-world scenarios.

Mining’s Autonomous Edge: Rio Tinto operates around 190 autonomous haul trucks in Australia’s Pilbara region, cutting costs by 15% and adding 700–1,000 operating hours per truck annually. Komatsu’s electric, trolley-assisted trucks carry 363-ton payloads while reducing diesel use, signaling a heavy industry shift.

Defense on Autopilot: From Milrem Robotics’ AI-assisted THeMIS combat UGV to Ghost Robotics’ Vision 60 quadruped and Spain’s amphibious Valkyrie, autonomous systems are reshaping logistics and tactical mobility on the battlefield.

Space Exploration: Though NASA’s VIPER rover was canceled, the Dragonfly mission to Saturn’s moon Titan moves ahead. Launching in 2028 and arriving in 2035, this nuclear-powered rotorcraft will fly 30-minute sorties across Titan’s surface.

Humanoid Integration: Agility Robotics' Digit is in pilot with logistics firms, and Tesla's Optimus continues to evolve in object handling and assembly. Success lies in collaborative deployment—not replacement.

Farming & Construction: John Deere’s autonomous tractors deliver centimeter-level precision. Meanwhile, Caterpillar and Volvo are advancing equipment that can safely work beside humans, powered by proximity sensors and real-time mapping.

Ocean Innovation: The 2023 E/V Nautilus expedition mapped 15,000 square km of Pacific seafloor via autonomous underwater vehicles. NOAA is using machine learning for species ID, and Ocean Infinity’s growing autonomous fleet is transforming offshore energy and marine research.

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.

Send us Fan Mail

🔋 The "Green Paradox" of EV Batteries: Clean cars, complex supply chains

Our latest Auto Intelligence episode with Steve and Claire tackles one of the automotive industry's most pressing challenges - the environmental trade-offs in EV battery production. While battery manufacturing accounts for nearly 2/3 of an EV's upfront emissions, lifecycle analysis shows EVs still produce half the emissions of gas vehicles.

Key insights from our deep dive: • Global battery demand will grow almost 7x by 2035 (IEA Global EV Outlook 2024) • Lithium extraction uses 500,000 gallons of water per ton • Cobalt recycling could meet 40% of demand by 2035 • EV battery recycling market: $540M → $23.7B by 2035

The path to sustainable mobility isn't simple, but the solutions are emerging through innovation in recycling, mining practices, and manufacturing processes. The companies mastering sustainable supply chains will lead the next decade.

Listen to the full episode for insights on second-life batteries, solid-state technology, and why this challenge represents our industry's greatest opportunity.

Produced by Auto Agentic. Learn more at www.autoagentic.ai
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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.

Send us Fan Mail

The quantum leap: How quantum computing is supercharging automotive innovation

The Future of Driving is Being Written in Quantum Labs Today

Quantum computing has moved from the realm of theoretical physics to practical automotive applications, with major automakers investing millions in partnerships and pilot projects that could fundamentally reshape how we design, build, and operate vehicles. While still in the early research stages, the potential implications are staggering – from cars that can predict and prevent accidents before they happen to batteries that design their own optimal chemistry.

Real Companies, Real Results

This isn't science fiction. Volkswagen's pioneering quantum traffic optimisation work with D-Wave Systems, which began around 2017, has explored significant improvements in urban mobility through pilot projects in cities like Lisbon and Beijing. The German automaker has continued expanding their quantum research, including partnerships with Google Quantum AI and more recently with IQM Quantum Computers for battery simulation studies.

Ford is collaborating with Quantinuum on quantum chemistry simulations to understand charge and discharge mechanisms in lithium-ion batteries at the molecular level. Meanwhile, BMW and Pasqal are researching quantum applications in metal-forming processes and solving complex differential equations that could revolutionise manufacturing precision.

Toyota has explored quantum applications through D-Wave partnerships, focusing on traffic signal optimisation, while Hyundai and IonQ are using quantum simulations to optimise electrolytes and catalysts for advanced EV batteries. Even suppliers like Bosch are investing in quantum startups like Zapata Computing.

The Quantum Advantage: Why This Matters

Key insight: "Instead of trial-and-error experimentation, we're moving toward precision design based on quantum-level understanding of materials and systems."

Unlike classical computers that process information sequentially, quantum computers leverage superposition and quantum interference to explore vast problem spaces simultaneously. For automotive applications, this could mean:

• Autonomous vehicles that process multiple sensor inputs more efficiently, leading to better object detection and route optimisation
• Materials science breakthroughs enabling lighter, stronger vehicle components and revolutionary battery technologies
• Supply chain optimisation that could eliminate inefficiencies costing the industry billions annually
• Manufacturing precision through quantum-enhanced digital twins and process optimisation

Current Reality vs. Future Potential

McKinsey projects $2-3 billion in economic impact for automotive by 2030, though widespread deployment remains in development stages due to current "noisy intermediate-scale quantum" (NISQ) limitations. Today's quantum computers have limited qubits, high error rates, and lack the robust error correction needed for the most complex problems.

Most practical applications currently use hybrid quantum-classical approaches, where classical computers handle the bulk of work while quantum processors tackle specific optimisation tasks where they might offer advantages.

The Challenges Ahead

The quantum automotive revolution faces significant hurdles:

• Talent scarcity: Fierce competition for quantum computing specialists across industries
• Technical limitations: Current hardware constraints limit problem complexity
• Algorithmic transparency: Ensuring quantum-enhanced systems make fair, explainable decisions
• Security implications: Developing quantum-resistant cryptography for connected vehicles
• Timeline uncertainty: Experts suggest 15-20 years for broadly useful quantum computers in many s

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.

Send us Fan Mail

This comprehensive episode of Auto Intelligence explores the profound intersection of automotive AI and assistive technology, revealing how mobility innovations extend far beyond traditional transportation to transform lives worldwide.

Featured Stories: From Myrna Peterson's documented, life-changing experience with the goMARTI (Mobility for All Rural Transportation Innovation) autonomous vehicle project in Grand Rapids, Minnesota, to Tilly Lockey's inspiring journey with AI-powered bionic arms from Open Bionics, we discover how the same technological principles driving automotive innovation are revolutionising independence globally.

Key Companies and Innovations: The episode features verified insights from industry leaders including May Mobility (autonomous shuttle services), Waymo (robotaxi testing), Uber and Cruise (accessible ride-hailing), and Spare Labs (Open Fleets technology for paratransit integration). In the assistive technology space, we explore innovations from Ottobock (C-Brace intelligent orthosis, bebionic hand), Permobil (AI-powered wheelchairs), Ossur (advanced prosthetics), ReWalk Robotics (exoskeletons), and Exact Dynamics (iARM robotic assistance).

Canadian Innovation Spotlight: Canadian companies are leading the charge with Braze Mobility (Toronto) developing wheelchair blind-spot sensors, Cheelcare (Richmond Hill) creating all-terrain wheelchair attachments, and Spare Labs (Vancouver) partnering with the Massachusetts Bay Transit Authority for North America's largest automated paratransit service.

Technology Deep Dive: The episode examines how sensor fusion, machine learning, and predictive analytics—core technologies in autonomous vehicles—are being adapted for personal mobility devices. From the Korea Institute of Machinery and Materials' smart prosthetic sockets to Munevo's eye-tracking wheelchair controls and Broadened Horizons' Wheelie 7 adapter kit, we see how AI is creating comprehensive independence solutions.

Real-World Impact: Beyond individual stories, the episode addresses systemic challenges including cost barriers, the role of programs like Ontario's Assistive Devices Program, training requirements, and infrastructure needs. We explore emerging technologies including brain-computer interfaces, AR/VR applications, IoT integration, and wireless charging solutions.

The Future of Mobility: This episode demonstrates that mobility technology isn't just about movement—it's about dignity, empowerment, and the fundamental human right to navigate the world independently. As automotive intelligence principles transform personal assistive devices, we're witnessing a revolution where what seems everyday to some becomes utterly life-altering for others.

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.

Send us Fan Mail

The Automotive Powertrain Revolution

The automotive industry's transformation has reached a critical inflection point, with our latest Auto Intelligence episode revealing how the competitive landscape is being redrawn in real-time. BYD's remarkable ascent brought them within just 24,000 units of Tesla's global Battery Electric Vehicle (BEV) leadership—a gap so narrow it underscores how quickly market dynamics can shift.

The Chinese Market Surge China continues to lead the global transition with New Energy Vehicle (NEV) penetration reaching 47.9% of all new car sales in 2024, representing nearly one in two vehicles sold. This isn't just about pure electrics—BYD's strategic approach demonstrates the power of portfolio diversification, with 58.5% of their sales coming from Plug-in Hybrid Electric Vehicles (PHEVs). Their PHEV segment surged 73% to 2.485 million units, proving that flexibility trumps ideology in meeting consumer needs.

Technology Convergence and Costs The episode explores how solid-state batteries are transitioning from laboratory experiments to production reality, with Toyota targeting 2027 for commercial deployment. While promising 600-mile ranges and 15-minute charging, cost challenges remain substantial at $400-500 per kilowatt-hour—3-4 times higher than current lithium-ion technology at $112/kWh.

The Hybrid Resurgence Perhaps most surprising is the hybrid market's resilience, with unit sales projected to grow from 12.4 million to 28.5 million vehicles by 2030 at a robust 15% compound annual growth rate. This growth is driven by regulatory pressure in Europe and China, combined with consumer demand for flexibility that bridges range anxiety and infrastructure limitations.

Regional Dynamics and Casualties The transformation isn't uniform globally. While BMW achieved solid 11.6% BEV growth to 368,475 units in Europe, Tesla faced headwinds in its home market with Model 3 sales declining 17.4%. Meanwhile, traditional joint ventures are struggling—GAC Toyota sales fell 22.32%, illustrating how legacy partnerships don't automatically translate to the electrified era.

AI as the Invisible Multiplier Artificial intelligence emerges as the critical differentiator across all powertrains, optimizing battery management in EVs, determining real-time power splits in hybrids, and enabling vehicle-to-grid integration that creates entirely new business models around energy management.

The Multi-Technology Future Steve and Claire's analysis reveals that success lies not in betting on a single technology but in matching the right powertrain to specific applications: urban mobility favoring BEVs, long-haul logistics preferring hydrogen fuel cells, and emerging markets continuing to rely on ICE and hybrids for infrastructure flexibility.

The episode concludes by connecting these industry trends to Auto Agentic's mission—just as automakers must navigate multiple powertrain technologies, dealerships need AI-driven solutions that can optimize operations across this diverse technology landscape, from explaining solid-state battery technology to managing inventory for the hybrid resurgence.

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.