The article argues that the Federal Reserve's recent rate hike decision, while justifiable on inflation grounds, highlights a critical lack of an underlying, transparent policy framework. The core problem is that the Fed's decisions appear discretionary, leading to market uncertainty because the committee's judgment, rather than clear data, dictates policy shifts. The author proposes that the Fed adopt a formal monetary policy rule—an algebraic formula linking the target rate to indicators like inflation and unemployment—to replace subjective guidance. Implementing such a rule would provide market predictability, enhance transparency, and shield the Fed from political attacks by making deviations from the standard easily quantifiable.
Spectrum, 6 G, and the Future of AI Leadership
English Summary
This CSIS report argues that spectrum policy is increasingly intertwined with AI advancement, particularly as 6G technology emerges. The report highlights that the deployment of AI-powered systems, especially those requiring low latency like autonomous vehicles and robotics, will heavily rely on access to sufficient mid-band spectrum. Drawing lessons from the 5G rollout and China's rapid advancements, the authors warn that inadequate U.S. spectrum policy risks hindering domestic AI competitiveness and national security. Expanding the spectrum pipeline and streamlining allocation processes are crucial for U.S. leadership in AI and 6G.
中文摘要
本期戰略與國際研究中心（CSIS）報告指出，頻譜政策與人工智能（AI）發展正日益緊密相連，尤其是在6G技術興起的背景下。報告強調，基於AI的系統部署，特別是那些需要低延遲的應用，如自動駕駛汽車和機器人技術，將高度依賴於足夠的中頻譜資源。作者從5G部署經驗以及中國快速發展的教訓中汲取經驗，警告稱，若美國頻譜政策不足，將會危及國內AI競爭力及國家安全。擴大頻譜供應管道並簡化分配流程對於維護美國在AI和6G領域的領導地位至關重要。
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