SaaS-Native companies are stalling while AI-Natives are accelerating, and the difference is not execution but architecture: AI-Natives scale through real-time, system-driven growth engines rather than people-heavy GTM teams. There exists a widening “growth chasm,” where AI-Natives reach revenue milestones 3–4× faster and at a fraction of the cost. Here we break GTM into production lines and demonstrates through simulations that traditional “Do More” and “Do Better” levers cannot meet investor expectations—only “Grow Smarter” architectures powered by compound growth loops can. We then detail how AI-Natives use user-level impact, instant activation, habit-building UX, and real-time data systems to fuel reinforcing loops—viral, nurturing, advocacy, retention, and expansion—that can mathematically drive companies to $100M–$500M ARR in record time. We urge executives to shift immediately from rep-driven to system-driven GTM, build closed-loop data infrastructure, and reallocate resources from headcount to AI systems that enable compounding growth.