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.
The Emergency Need to Limit Emergency Powers
English Summary
The article warns that growing public anxiety regarding catastrophic AI risks threatens to normalize the misuse of state and federal emergency powers. It argues that current emergency statutes are overly broad, potentially allowing governors to institute sweeping, irreversible changes based on vague triggers. To prevent abuse, the authors recommend three proactive reforms: requiring objective, verifiable triggers for declarations; mandating legislative approval for prolonged use; and strictly limiting the duration and scope of powers specifically for AI-related incidents. These reforms aim to protect against arbitrary overreach while still allowing for rapid response during a genuine technological crisis.
中文摘要
本文警告，公眾對災難性人工智慧（AI）風險日益增長的焦慮，威脅著使濫用州和聯邦緊急權力常態化。文章主張，現行的緊急狀態法規過於寬泛，可能允許州長根據模糊的觸發點實施全面性、不可逆轉的改變。為防止權力濫用，作者建議採取三項積極改革：要求宣布緊急狀態必須有客觀、可驗證的觸發點；規定長期使用須經立法機關批准；並嚴格限制專門針對 AI 相關事件的權力時限與範圍。這些改革旨在防止武斷的權力擴張，同時仍能確保在真正技術危機期間進行快速應對。
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