The rapid financing of the AI boom through massive corporate debt issuance is creating significant stress on global financial markets. This influx of private capital forces competition with government Treasury bonds, as AI companies offer higher yields than equivalent sovereign debt, thereby pushing up long-term interest rates. While this signals strong investment demand for AI, it raises concerns about systemic risk and the potential destabilization of core bond markets. Policymakers must navigate the tension between fueling critical technological growth and maintaining stable public borrowing costs to prevent a financial crisis.
Global Economy and Finance Programme
English Summary
Chatham House’s Global Economy and Finance Programme argues that independent, policy-oriented analysis can improve international economic decision-making when it is tightly connected to real-world policymakers and practitioners. Its reasoning rests on a three-part operating model: original research on emerging global finance issues, convening expert dialogues across academia, government, and business, and running private briefings for senior decision-makers. The programme’s topic coverage, from G7/G20 governance and trade to debt, climate economics, and monetary system reform, indicates a systems-level approach to interconnected global risks. Strategically, this implies policymakers should prioritize cross-border coordination, use evidence-led forums to build consensus, and translate technical analysis into actionable policy pathways quickly.
中文摘要
查塔姆研究所（Chatham House）全球經濟與金融計畫主張，若能與第一線政策制定者及實務工作者緊密連結，獨立且以政策為導向的分析可提升國際經濟決策品質。其論證建立於三部分運作模式：針對新興全球金融議題進行原創研究、召集學術界與政府及企業之間的專家對話，以及為高階決策者提供非公開簡報。該計畫涵蓋議題橫跨 G7／G20 治理、貿易、債務、氣候經濟學與貨幣體系改革，顯示其以系統層次處理彼此連動的全球風險。從策略意涵看，政策制定者應優先推動跨境協調，運用以證據為基礎的論壇建立共識，並迅速將技術分析轉化為可執行的政策路徑。
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