A few years ago, Europe’s storied automakers ran into a humbling paradox. They had been perfecting internal combustion engines and chassis engineering for over a century, yet when they entered the electric vehicle race, they discovered that Tesla’s lead was built not on steel or tires, but on the software operating the vehicle and updating it over the air like a smartphone. When a manufacturing colossus like Volkswagen tried to build its own in-house software division (CARIAD) to catch up, the effort stumbled for years, racked up billions of euros in losses, and delayed flagship vehicle launches—before Volkswagen finally had to strike a $5.8 billion partnership with the startup Rivian to secure the software architecture it could not build alone.
That story is not just about cars; it reveals the unwritten law that governed the global economy for the past thirty years. Look at the companies that dominated the modern era—Microsoft, Apple, Google, Meta, and Tesla itself—and you will find one common denominator: around their core businesses, they erected a moat of complex software. Entering their arena required armies of thousands of software engineers, multi-billion-dollar R&D budgets, and years of patient development before a challenger could even ship a viable product.
Having seen how AI gained a hand to execute tasks and stripped away the mask of software menus, we now arrive at the macroeconomic shockwave: What happens when the barrier to building software itself collapses?
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