According to God of Prompt, dynamic per-query scaling in AI models can render $100M large-scale training runs obsolete, allowing companies to deploy smaller, more efficient models that dynamically allocate computational resources based on query complexity (source: God of Prompt, Twitter, Jan 15, 2026). This approach enables businesses to deliver fast answers to simple questions while dedicating more processing time to complex tasks, making AI intelligence elastic and operationally cost-effective. The shift to elastic AI models opens new opportunities for enterprises to optimize infrastructure, reduce expenses, and accelerate time-to-market for AI-driven solutions.