The article argues that recent executive overreach and politicization have severely undermined established norms of U.S. civil-military relations. To restore professional standards, the incoming Congress must actively exercise its oversight powers, moving beyond mere criticism to demanding transparency in defense policy and personnel decisions. Key reforms include enforcing meritocratic promotion processes, requiring documented justification for senior officer removals, and preventing the partisan use of the military. These actions are crucial for bolstering public trust and ensuring the military remains a nonpartisan instrument of civilian control.
Can the US and China cooperate on AI?
English Summary
The Brookings analysis argues that the US and China can cooperate on mitigating shared AI risks—specifically those posed by nonstate actors—without compromising their intense technological competition. This cooperation should focus on practical measures, including establishing nonbinding safety guidelines, sharing limited threat intelligence, and creating an emergency communication hotline. Strategically, the US must leverage this dialogue to assert its leadership in global AI governance, preventing China from defining the standards. Failure to coordinate risks could lead to an AI arms race, while the US must also guard against China attempting to establish a 'floor' on American technology controls.
中文摘要
布魯金斯（Brookings）的分析指出，美國和中國可以在減輕共同的 AI 風險——特別是那些由非國家行為體所構成的風險——方面進行合作，同時不損害其激烈的技術競爭。這種合作應著重於實務措施，包括建立非約束性的安全準則、共享有限的威脅情報，以及設立緊急通訊熱線。從戰略角度來看，美國必須利用這場對話來主張其在全球 AI 治理中的領導地位，防止中國定義相關標準。若未能協調風險，可能導致 AI 軍備競賽；同時，美國也必須警惕中國試圖為美國技術控制建立「底線」。
Related Entries
-
1.
-
2.
The article argues that Donald Trump's unique and prolonged lame-duck period, coupled with domestic political pressures, makes him dangerously prone to international instability. Having exhausted major diplomatic gambits, Trump is expected to channel his energy into high-stakes, unilateral actions, primarily targeting adversaries such as Iran and Cuba. These potential actions—ranging from fresh strikes in the Persian Gulf to attempts at regime change—carry a significant risk of destabilizing regional security and triggering a global economic crisis. Policymakers must anticipate this pivot to high-risk foreign policy to mitigate potential international flare-ups.
-
3.
China's economic strategy is characterized by a persistent 'economics of denial,' prioritizing massive state-directed investment in advanced technology over addressing weak domestic consumption. This approach is rooted in a flawed belief that controlling physical capital will automatically generate productivity and wage growth, ignoring the structural imbalance where domestic demand consistently falls short of supply. This overinvestment and underconsumption model is unsustainable. Consequently, Beijing's policies will continue to generate global deflationary pressures and escalating trade friction, necessitating a fundamental pivot toward consumption-led growth for long-term stability.
-
4.
The publication argues that current efforts to improve the well-being of men and boys of color are too fragmented, failing to account for the structural linkages between systems like education, employment, and criminal justice. It proposes a new, holistic framework that traces how structural conditions flow through multiple domains to measurable outcomes, such as longevity. Key reasoning emphasizes the need to treat 'place' as a fundamental actor and to identify successful communities where these populations are already thriving. Policy implications require shifting away from individual-focused interventions toward developing structural, place-based agendas that address systemic inequities.
-
5.
The Blue Wave signals significant voter frustration with cost of living and inflation, giving Congress a mandate to prioritize affordability and cost-reduction measures. Economically, the rapid build-out of AI data centers is creating localized stress, driving up skilled labor wages and straining resources, while also facing constraints from power grids and potential local regulatory backlash. Policymakers must manage this 'sequencing issue'—addressing rising costs before full productivity gains from AI can materialize—and anticipate shifts in global data center infrastructure as the market matures.