🚀⚙️The Second Phase of AI (2026–2030): The Real Watershed Lies Not in Models, but in Systems Many are still viewing AI from the perspective of the first phase—whether computing power is sufficient, whether model parameters are large enough, whether inference speed is fast enough. But the true second phase has shifted focus entirely downward. It's not about 'who is the smartest,' but 'who can run long-term, stably, and at scale.' This cycle is fundamentally defined by three things: power, data transmission, automation...