When Code Outruns Horsepower: the future of mobility

5 min read

Blue toned illustration representing themes of automotive evolution software integration and future mobility

Stellantis vs. Tesla: Discover how code, not horsepower, drives tomorrow’s commute — turning cars into ever-evolving platforms for work, play, and beyond

Stellantis falters. 

Headlines reduce this crisis to a basic narrative: they got into the EV game too late, did not invest quickly enough, and missed the boat on electrification. But that is just the most visible piece of the puzzle. 

Beneath the surface churns a deeper, more systemic issue, one that goes beyond battery packs and charging networks. Stellantis has long treated software as a secondary concern, a digital afterthought. Hardware first, code second. This mindset made sense when cars were mechanical masterpieces of pistons and gears, not rolling supercomputers. But in a world where vehicles are as much code as chassis, that approach rings archaic.

Meanwhile, Tesla cars run an integrated software architecture that powers effortless over-the-air updates that instantly refresh features, fix bugs, and fine-tune performance. 

Blink once, and Tesla cars learn new tricks overnight, delivering that banging wow factor to owners who wake up to find their vehicles suddenly better. 

Stellantis, on the other hand, grapples with a legacy system that sources software components from disparate suppliers. Every tweak, fix, and improvement necessitates negotiation with multiple codebases, which are frequently misaligned and rarely elegant. 

The result? 

Updates, which should be a swift digital handshake, become a laborious process involving hardware compatibility checks, supplier agreements, and layers of bureaucracy. It is as if Stellantis is trying to teach a roomful of people to sing in perfect harmony, except each singer speaks a different language, and no one has the music sheet.

Time has changed. 

Consumers expect their cars to evolve as a smartphone app. Instead, Stellantis’ product feels like a relic that requires physical hauling into a shop for even minor improvements, leaving the consumer wondering why this brand cannot keep pace.

The message is clear: adapt to a software-defined world or risk becoming a historical footnote.

This is not about Stellantis fight. Every automaker is currently facing a similar dilemma. Soon, cars will be less about hardware and horsepower and more about the services they enable. The entire industry must pivot from mechanical complexity to digital ecosystems built around seamless updates, immersive experiences, and revenue streams that emerge from bytes, not bolts.

Tesla DNA emerges as the benchmark.

The FSD Beta v12 dramatically reduces complexity by relying on a single, elegant neural network instead of roughly 300,000 lines of painstakingly written C++ code. This shift is not just about fewer lines of code. It is about reimagining what a car can be when software development follows lean, iterative principles of modern tech firms, not the lumbering cadences of old-school manufacturing.

Stellantis wants to be a good follower. The recent unveiling of the STLA Brain architecture at the core of new Stellantis vehicles reads like a pledge to join the 21st century. Fully cloud-integrated and structured with software at the core, the STLA Brain aims to do what Tesla’s integrated approach has done: blur the line between hardware and digital intelligence until the vehicle feels more like an advanced platform than a mechanical product. It is a model that prioritizes service and functionality over metal and wiring. Stellantis is finally communicating to its engineers, suppliers, and customers that the future car will rely on silicon logic and machine learning, much like a smartphone or tablet.

This pivot cannot come soon enough. Automakers have long treated software as a patchwork system glued onto machines designed for an era of steel and oil. Tesla proves that enabling a vehicle with intelligence, adaptability, and personality can hinge on that invisible interplay of algorithms and data. STLA Brain promises to offer Stellantis the chance to catch up and, with time, compete. However, it is not merely a competition to emulate Tesla. It is an awakening that demands a cultural and organizational transformation. Cars need to code and conceive like smartphones on wheels — versatile, upgradable, and undeniably digital — in a world where the value lies in continuous updates and digital enhancements.

Supply Chain Seizure

Supply chains seize up. At first glance, you might think this is just about shipping delays and missed deadlines. But the tangible disaster is digital: a hodgepodge of code fragments sourced from scattered vendors, each singing its own tune. The old modular approach — where automakers assemble their technological Legos from many different suppliers — once looked practical. Now, it resembles a factory floor teeming with mismatched puzzle pieces. Modern cars can carry over million lines of code, and if those lines are not woven into a single coherent tapestry, updates become a fiasco. It is like trying to conduct a symphony while the brass, woodwinds, and strings are rehearsing in separate rooms. Confusion, misalignment, and lagging integration drown out every attempt at harmony.

Tesla, by contrast, runs a lean digital ship. Their willingness to embrace AI-driven frameworks, treating their vehicle codebase like a living ecosystem that adapts and evolves. Engineers at Tesla push out swift improvements via the cloud, eliminating the need to navigate a bureaucratic labyrinth of suppliers and legacy contracts when detecting a glitch or implementing a new feature. They tweak, test, and beam it to thousands of cars overnight. It is agile software development in a domain that once moved at the speed of steel and rubber manufacturing lines.

Automakers must reinvent their supply chain to compete.

They must forge new relationships, reorganize entire departments, and shed decades-old assumptions to bring these elements into the cloud-based, service-oriented future. This is an existential pivot. Without it, Stellantis and its peers risk becoming code-bound dinosaurs, lumbering with outdated infrastructures. Nimble competitors will speed ahead, evolving with every megabyte of data streaming from the cloud. The message is clear: Unify or die.

Design Overhaul

Passengers unplug from the wheel. Tesla’s approach puts software at the heart of cabin design, turning the interior into a flexible, evolving environment. 

Instead of focusing on driving, Stellantis must now consider how people will spend their time inside the vehicle.

Standard dashboards and fixed steering wheels are no longer an option. Instead, each journey might involve streaming a favorite show, joining a virtual meeting, or practicing a new skill.

The concept of a car shifts from a driving machine to a time optimizer, a place where activities unfold as the vehicle moves. 

In such an environment, every element (seating, screens, lighting) must be designed for comfort, engagement, and flexibility. Passengers become users of a mobile platform that supports them however they spend their time. This means simpler interfaces, intuitive controls, and seamless connectivity. In summary, the car transforms from a mere vehicle into a digital environment that caters to people’s needs, regardless of their path.

Long Term Vision

We will look back on today’s cars as we now view horse-drawn carriages.

The new era of the automotive industry transcends the idea of vehicles as mere mechanical conveyances, replacing it with a future where Commute-Pods become fully integrated platforms for work, leisure, and boundless possibility. Picture fleets of sleek, driverless pods crisscrossing cities, each designed as an adaptive cabin that can morph from a mobile conference room into a mini-cinema or a meditation nook — all with a single tap on your personalized profile. Instead of rigid dashboards and static seats, every component is optimized for flexibility, powered by streamlined software that updates in real-time, just like your favorite smartphone app. Individual owners are not the only ones who can use these pods. Users can “log in” to a shared vehicle, instantly syncing their preferred playlists, display settings, and productivity tools. It’s a vision in which you’re liberated from the steering wheel, turning entire commutes into windows for meaningful tasks — virtual meetings, immersive entertainment, or catching up on essential tasks without glancing at the road.

In this emerging ecosystem, profit no longer hinges on bigger engines or premium trim packages. Instead, revenue streams flow from subscription-based services, brand partnerships, and third-party apps that transform every journey into an experience capsule. A daily commute might include a telehealth appointment, a virtual cooking class, or a power nap in transit, seamlessly woven into one digitally enhanced environment. This shift demands that traditional automakers adopt a software-first approach, embracing lean, agile thinking to keep up with rapidly evolving consumer expectations and the latest technology trends.

This new world ultimately redefines mobility as a versatile, on-demand, and hyper-personalized service rather than a static product in your driveway. It’s about turning “spare time” into productivity or joy, erasing the boundary between commuting and living. The winners in this scenario will champion fluid innovation and continuous updates, recognizing that cars have evolved into platforms where we do things, not just where we sit and steer.

Flavio Aliberti Flavio Aliberti brings with him a 25-year track record in consulting around business intelligence, change management, strategy, M&A transformation, IT and SOX auditing for high regulated domains, like Insurance, Airlines, Trade Associations, Automotive, and Pharma. He holds an MSc in Space Aeronautic Engineering from the University of Naples and an MSc in Advanced Information Technology and Business Management from the University of Wales.

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