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Trumponomics - The $2 Trillion Global Arms Race

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以下是这段内容的中文翻译: 彭博社由Stephanie Flanders主持的“特朗普经济学”播客最新一期节目,深入探讨了在不断变化的全球地缘政治动态和技术进步推动下,日益升级的全球军备竞赛。节目邀请了国防专家、彭博经济的Becca Wasser和彭博新闻全球国防编辑Gerry Doyle,讨论强调了唐纳德·特朗普对北约施加的压力以及乌克兰冲突,正在如何重塑全球国防开支和优先事项。 播客以包括唐纳德·特朗普在内的北约领导人在土耳其举行会议为背景开场。这些峰会的一个关键焦点,尤其是在特朗普执政期间,一直都是美国“合理的论调”,即欧洲国家需要增加国防开支,以应对边境风险,并减少对美国安全保障的依赖。这种压力,加上俄罗斯入侵乌克兰,共同催生了全球军事投资的激增,标志着一场与冷战时期显著不同的新军备竞赛。 Gerry Doyle解释说,增加国防开支的紧迫性,最初侧重于坦克、飞机和火炮等传统战场资产,如今已经演变。当前的竞赛不再关乎核弹当量,而更多是通过下一代技术获得微妙优势。这些技术包括用于进攻、防御和侦察的无人机;旨在保护卫星和增强军事能力的空间军事化;以及能够以极高速度机动以规避防御的高超音速武器。乌克兰和伊朗的持续冲突已经展示了无人机和人工智能在战场上的实际应用和变革力量。 Becca Wasser补充说,这种技术追求旨在实现三大优势: 1. **决策优势:** 谁能通过人工智能技术更快地做出决策。 2. **规模优势:** 谁能部署更多资产,如低成本无人机和导弹,以压倒对手。 3. **成本效益:** 以最低的开支获得最佳效果,这通常会促使人力或财政受限的国家大量投资于无人机和人工智能。 然而,专家们警告说,虽然无人机提供了“物超所值”的效果,但它们并非万能。社交媒体常常扭曲其有效性,只展示成功的打击,却不披露大量失败的尝试或目标预先存在的弱点。它们是一种补充工具,而非高端武器的完全替代品。 讨论触及了一个看似矛盾的现象:无人机被视为廉价且能够拉平力量的技术,然而整体军备竞赛却涉及巨大、尖端且昂贵的研发。Gerry指出,尽管无人机和人工智能能让资源有限的小国以更低的成本获得80%的高端能力,但像美国和中国这样财力雄厚的国家,在更大规模的生产、研发以及将这些新技术与现有先进系统结合的能力方面,仍然拥有优势。 量化开支,仅美国国防预算请求就达1.5万亿美元,约占其GDP的3.4%——低于冷战高峰时期,但显著高于近年来。欧洲也设定了到2030年或2035年将国防开支提升至GDP的3.5%的目标,但目前的预测表明,许多国家将无法达到这一目标,通常是通过承担巨额债务来实现。全球范围内,这一数字约为2万亿美元。 关于经济影响,共识是国防开支在就业和制造业方面的经济红利,通常低于其他类型的基础设施投资。对于欧洲而言,发展本土国防产业至关重要,以避免仅仅依赖进口美国硬件。然而,欧洲的国防工业高度分散,各国都优先支持自己的“国家冠军企业”。对于发展天基基础设施、防空系统和运输机等战略资产而言,集体行动和协调至关重要,但政治现实使得“选择赢家和输家”变得困难,因为每个国家都希望国防开支能惠及本地经济。 政府与科技部门(尤其是在人工智能领域)的融合也得到了讨论。中国的“军民融合”方针使其在将技术突破转化为军事应用方面具有优势,这与西方国家分散的决策模式不同。尽管人工智能可以提供优化物流等良性应用,但对其用于加速目标识别过程(如伊朗战争中Palantir的Maven系统所示)以及,最关键的是,其可能融入核指挥与控制系统中的担忧日益加剧。Becca强调在这些关键领域需要人类决策,尽管一些安全措施已被放松。 播客谈及了令人不安的核扩散前景。虽然没有证实新的核计划,但法国(向欧洲提供核保护伞)、日本和韩国等国对此兴趣日益浓厚,它们从乌克兰和伊朗等冲突中得出结论,认为核武器可以威慑侵略。Gerry和Becca警告说,将人工智能整合到核武库中,可能会危险地加速决策过程,缩短冷战时期曾阻止事故发生的人类深思熟虑环节,从而可能导致灾难性错误。 最后,专家小组承认,大部分国防开支不可避免地会浪费在失败的技术上(例如“星球大战”计划或特朗普的“金色穹顶”概念)。然而,他们也认为,高额国防预算最终的、尽管有些反常的激励作用是威慑战争本身,这与冷战时期大规模核武库阻止了直接冲突的情况如出一辙。Stephanie Flanders总结道,对北约等集体安全安排的信心,历史上曾以低得多的成本提供了安全感。

The latest episode of Bloomberg's Trumponomics podcast, hosted by Stephanie Flanders, delves into the escalating global arms race, spurred by shifting geopolitical dynamics and technological advancements. Featuring defense experts Becca Wasser (Bloomberg Economics) and Gerry Doyle (Global Defence Editor for Bloomberg News), the discussion highlights how Donald Trump's pressure on NATO and the conflict in Ukraine are reshaping global defense spending and priorities. The podcast opens with the context of NATO leaders, including Donald Trump, meeting in Turkey. A key focus of these summits, especially under Trump, has been the "reasonable refrain" from the US that European nations need to increase their defense spending to confront risks at their borders and reduce reliance on the American security blanket. This pressure, combined with the Russian invasion of Ukraine, has catalyzed a worldwide surge in military investment, marking a new arms race that differs significantly from the Cold War era. Gerry Doyle explains that the urgency for increased defense spending, initially focused on traditional battlefield assets like tanks, planes, and artillery, has now evolved. The current race is less about nuclear megatonnage and more about gaining subtle advantages through next-generation technologies. These include drones for offense, defense, and surveillance; the militarization of space to protect satellites and enhance military capabilities; and hypersonic weapons that can maneuver at extreme speeds to evade defenses. The ongoing conflicts in Ukraine and Iran are already demonstrating the practical application and transformative power of drones and AI on the battlefield. Becca Wasser adds that this technological pursuit aims for three key advantages: 1. **Decision Advantage:** Who can make decisions faster through AI-enabled technologies. 2. **Mass:** Who can field more assets, like low-cost drones and missiles, to overwhelm adversaries. 3. **Cost Efficiency:** Achieving the best effect for the cheapest outlay, which often leads countries with manpower or fiscal constraints to invest heavily in drones and AI. However, the experts caution that while drones offer a "bang for your buck," they are not a complete solution. Social media often distorts their effectiveness, showing successful strikes without revealing the many attempts that fail or the pre-existing vulnerabilities of targets. They are an additional tool, not a full replacement for high-end weaponry. The conversation touches on a perceived paradox: drones are seen as cheap, leveling technology, yet the overall arms race involves immense, cutting-edge, and expensive R&D. Gerry notes that while drones and AI can empower smaller, resource-constrained nations to achieve 80% of high-end capabilities for much less, deep-pocketed countries like the US and China still hold an advantage in terms of massive production, R&D, and the ability to combine these new technologies with existing advanced systems. Quantifying the spending, the US defense budget request alone is $1.5 trillion, roughly 3.4% of its GDP – lower than Cold War peaks but significantly higher than recent years. Europe is also aiming for 3.5% of GDP on defense by 2030 or 2035, but current projections suggest many countries will undershoot this, often by taking on significant debt. Globally, the figure stands at approximately $2 trillion across three continents. Regarding economic impact, the consensus is that the economic dividend from defense spending, in terms of jobs and manufacturing, is often less than other types of infrastructure investment. For Europe, growing a domestic defense sector is crucial to avoid simply importing US hardware. However, Europe's defense industry is highly fragmented, with individual countries prioritizing their own national champions. Collective action and coordination are essential for developing strategic assets like space-based infrastructure, air defense, and transport aircraft, but political realities make "picking winners and losers" difficult, as each nation wants defense spending to benefit its local economy. The integration of government and the tech sector, particularly in AI, is also discussed. China's "civil-military fusion" approach gives it an advantage in translating technological breakthroughs into military applications, unlike the fragmented decision-making in Western nations. While AI can offer benign applications like optimizing logistics, concerns mount over its use in accelerating targeting processes (as seen in the Iran war with Palantir's Maven system) and, most critically, its potential integration into nuclear command and control. Becca emphasizes the need for human decision-making in such critical areas, though some guardrails have been relaxed. The podcast addresses the unsettling prospect of nuclear proliferation. While no new programs are confirmed, there's growing interest from countries like France (offering a nuclear umbrella to Europe), Japan, and South Korea, who observe conflicts like Ukraine and Iran and conclude that nuclear weapons deter aggression. Gerry and Becca warn that integrating AI into nuclear arsenals could dangerously speed up decision-making, potentially leading to catastrophic errors by shortening the human element of deliberation that prevented incidents during the Cold War. Finally, the panel acknowledges that much defense spending inevitably goes to waste on failed technologies (recalling "Star Wars" or Trump's "Golden Dome" concept). However, they also argue that the ultimate, albeit perverse, incentive of high defense budgets is to deter war itself, drawing a parallel to the Cold War where massive nuclear stockpiles prevented direct conflict. Stephanie Flanders concludes by noting that confidence in collective security arrangements like NATO historically provided a sense of safety at a much lower cost.