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.
Starting From Scratch
English Summary
The article argues that U.S. national security strategy requires an immediate, zero-based review to discard outdated principles and disruptive policies. This review must rigorously distinguish between fundamental "goals of necessity" (e.g., survival) and aspirational "goals of choice" (e.g., global primacy). Effective strategy demands stress-testing three elements: the plausible efficacy of the goals, the associated costs and risks, and the availability of necessary resources (political, economic, and military). Policymakers must therefore adopt a highly pragmatic, resource-conscious approach, moving beyond historical assumptions to secure U.S. interests.
中文摘要
本文主張，美國的國家安全戰略必須立即進行一次零基礎審查（zero-based review），以拋棄過時的原則和破壞性的政策。此項審查必須嚴格區分根本性的「必要目標」（如生存）與理想性的「選擇目標」（如全球霸權）。有效的戰略要求對三個要素進行壓力測試：目標的合理可行性、相關的成本與風險，以及必要資源（政治、經濟和軍事）的可得性。因此，政策制定者必須採取高度務實、注重資源的方略，超越歷史假設，以確保美國的國家利益。
Related Entries
-
1.
-
2.
The article argues that while Ratko Mladić was convicted for the Srebrenica genocide, a second alleged campaign targeting Bosnian Muslims in six municipalities during 1992 is crucial to understanding his full criminal scope. Although the main trial judges acquitted him on the 1992 charge due to legal difficulties proving 'specific intent,' two dissenting appeals judges strongly argued that Mladić's high level of command and knowledge implied genocidal intent. This case highlights both the immense challenge in establishing genocide under international law—particularly proving specific intent—and underscores the critical importance of reviewing dissenting judicial opinions for setting future precedents in war crimes accountability.
-
3.Wildfires and extreme heat show climate change is now Europe’s biggest security threat (Chatham House)
The Chatham House report argues that climate change represents Europe's greatest systemic security threat, citing recent extreme heatwaves, droughts, and wildfires that have caused massive economic losses, infrastructure failures, and excess deaths. These environmental shocks disrupt critical services (like energy supply) and increase vulnerability to non-conventional threats, forcing military resources to divert personnel away from traditional defense roles. To counter this, the report mandates a comprehensive security approach: treating climate adaptation as core national security spending, accelerating decarbonization to address root causes, and building robust societal resilience through coordinated civil preparedness.
-
4.
Six months after the U.S.-Israel attack on Iran, experts conclude that Washington has suffered a strategic defeat due to underestimating Iran's resilience and capacity for resistance. The conflict has significantly heightened regional instability, fueling sophisticated online propaganda from Tehran that creates a dangerous content advantage for radicalization efforts against U.S. interests. Furthermore, the war is paradoxically benefiting Turkey, which is consolidating its power through new regional security agreements, thus reducing overall U.S. influence in the Middle East. Policymakers must urgently counter Iran's ideological warfare and prepare for a shifting balance of power that diminishes American hegemony.
-
5.
The widespread operational embedding of AI in global supply chains creates significant systemic dependencies on shared digital infrastructure, raising novel aggregation risks for the insurance market. These risks are not limited to model failure but stem from common vulnerabilities—such as shared cloud platforms or flawed models—that could simultaneously impact multiple seemingly independent firms. Policy implications require both operators and insurers to shift focus toward managing these interconnected weaknesses by establishing robust controls, including mandatory human oversight, detailed audit trails, and staged deployments. Insurers must update underwriting practices to map systemic technology dependencies across policyholders rather than treating AI exposure as a standalone risk.