According to God of Prompt, the next wave of AI model architecture innovation centers around Mixture of Experts (MoE) systems, with four key trends: adaptive expert count (dynamically adjusting the number of experts during training), cross-model expert sharing (reusing specialist components across different models for efficiency), hierarchical MoE (experts that route tasks to sub-experts for more granular specialization), and expert distillation (compressing MoE knowledge into dense models for edge deployment). These advancements promise improvements in model scalability, resource efficiency, and real-world deployment, opening up new business opportunities for AI-driven applications in both cloud and edge environments (Source: @godofprompt, Twitter, Jan 3, 2026).