The ongoing Ebola outbreak in the DRC serves as a critical warning that the global health security system is fundamentally unprepared for future biological threats. The difficulty in containing this outbreak is compounded by the rising risk of emerging pathogens and the growing potential for AI misuse in bioweapon development. Policy must therefore shift from reactive, crisis-driven funding to sustained, proactive investment in resilient public health infrastructure, particularly in conflict zones. Addressing this requires strengthening global surveillance, ensuring consistent international cooperation, and mitigating the intersection of conflict, climate change, and disease spread.
Same engine, new fuel? China's economic model and the AI bet
English Summary
China's established investment-and-export-led economic growth model is encountering severe systemic pressures, marked by diminishing investment returns and a deflationary domestic market. To address these issues, China is implementing an "AI Plus" Initiative, aiming to integrate artificial intelligence across its economy for modernization by 2035. However, significant internal challenges like an aging population, low productivity growth, and high youth unemployment raise doubts about the sustainability of this model and AI's capacity to fulfill the state's ambitious economic and political objectives.
中文摘要
中國既定的投資和出口導向型經濟增長模式正遭遇嚴峻的系統性壓力,其特點是投資回報遞減和國內市場通貨緊縮。為了解決這些問題,中國正在實施「AI Plus」倡議,目標是在2035年前將人工智能整合到其經濟的各個領域,以實現現代化。然而,諸如人口老化、生產力增長緩緩以及青年失業率高企等重大的內部挑戰,使人們對這種模式的可持續性以及人工智能能否實現國家宏大經濟和政治目標的能力產生疑慮。
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