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.
How to Forecast China’s Lithography Leap: A Comparative Analysis of the Delphi Method and Crowdsourced Forecasting
English Summary
A RAND report compared the Delphi method (expert workshop) and crowdsourced forecasting to predict China's ability to produce advanced lithography equipment by 2026 and 2030. While both groups identified similar influencing factors, the Delphi group was slightly more accurate, emphasizing the short timeframe for China's technological leap. The study highlights the flexibility of both forecasting methods and recommends ongoing data collection and forecaster training for future research, informing policy decisions regarding U.S. export controls and China's semiconductor ambitions.
中文摘要
根據RAND公司的一份報告，研究人員比較了德爾菲法（專家工作坊）與群眾預測兩種方法，以預測中國大陸在2026年和2030年具備生產先進光刻設備的能力。儘管兩組預測者都識別出相似的影響因素，但德爾菲組的預測結果略為精確，並強調了中國大陸在短期內實現技術躍遷的緊迫性。本研究突顯了這兩種預測方法的靈活性，並建議持續收集數據並對預測者進行培訓，以供未來研究參考，進而為美國的出口管制政策以及中國大陸的半導體發展野心提供政策建議。
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