Here's the catch: any new programming language launched today faces an almost insurmountable barrier. Since AI models aren't trained on this fresh language, they can't assist developers working with it. Without AI-powered autocomplete and debugging support, adoption drops dramatically. Developers gravitate toward languages where AI works seamlessly. This creates a vicious cycle—lack of adoption means less training data, which means worse AI support, which guarantees the language never gains traction. It's becoming increasingly clear that meaningful programming innovation might already be locked behind us.