AI投资回报:随着前沿实验室扩大领先优势,开放路线的未来更取决于控制力,而非成本-Artificial Intelligence ROI on AI The Future of Open Is More Control than Cost as Frontier Labs Pull Ahead
Vi e w p o i n t | Value is moving across the stack. Differences in token efficiency and accuracy suggest that workload-specific routing is likely more economical than uniform open or closed model deployment strategies. We expect enterprises to adopt mixed- model portfolios as a de-risking mechanism (Figure 18), while AI labs may increasingly embed routing and orchestration capabilities into the model layer directly such that users only elect for specific models in rare or highly specific circumstances (Fig ...