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.
How to Survive the AI Shock
English Summary
The article posits that while AI offers immense potential for global economic revitalization, the United States must first address deep-seated structural issues. The core challenge identified is decades of slow labor productivity growth, which has depressed average incomes and fueled significant political polarization both domestically and globally. To successfully navigate the 'AI Shock,' policy efforts must focus on leveraging technological advancements to boost overall worker productivity. Failure to do so risks exacerbating existing economic disparities and social instability, undermining AI's transformative potential.
中文摘要
本文提出，儘管人工智慧（AI）為全球經濟復甦提供了巨大潛能，但美國必須首先解決深層的結構性問題。文章指出的核心挑戰是數十年來勞動生產力增長緩慢，這導致平均收入停滯，並在國內和國際上助長了顯著的政治兩極化。若欲成功應對「AI衝擊」，政策努力必須將重點放在利用技術進步來提升整體勞工生產力。否則，不僅會加劇現有的經濟差距與社會不穩定性，更將損及人工智慧轉型帶來的巨大潛能。
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