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.
Still waters, rapid currents: Early labor market transformation under generative AI
English Summary
The Brookings analysis finds that while generative AI is rapidly reorganizing white-collar work by creating entirely new tasks (such as AI oversight and content integration), there is no immediate, measurable effect on workers' earnings or hours. This suggests that AI's impact is structural, shifting job tasks rather than causing immediate wage displacement. Policymakers are advised to look beyond simple wage data, as the true impact is captured by changes in work organization and occupational mobility. Furthermore, the report urges statistical agencies to update their measurement methods to accurately track these complex, task-based labor market transformations.
中文摘要
布魯金斯智庫的分析指出，儘管生成式AI正在透過創造全新的工作任務（例如AI監督和內容整合）迅速重組白領工作，但目前尚未對工人的收入或工時產生即時、可衡量的影響。這表明AI的衝擊是結構性的，它轉移的是工作任務，而非造成即時的薪資取代。建議政策制定者不能僅依賴簡單的薪資數據，因為真正的影響體現在工作組織和職業流動性的變化之中。此外，報告敦促統計機構更新其衡量方法，以準確追蹤這些複雜的、基於任務的勞動市場轉型。
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