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野村证券 · 2026/09/04

在不确定世界中寻找机遇

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在不确定世界中寻找机遇

地缘政治、人工智能和市场变化推动多元化

亚洲投资者在决定如何配置资本时面临广泛的挑战。从关于分裂的地缘政治和人工智能未来的宏观问题,到关于公开与私人市场之间正确平衡的更为技术性的问题,不一而足。这一切都不简单。但这确实在带来复杂性的同时创造了机遇。

人们很容易认为当今世界状况特别黯淡:伊朗和乌克兰的冲突,通过激进关税和对抗性言论实施的贸易政策,以及由各种失衡引发的全球化反弹。但有些经历过几个地缘政治周期的人持有不同看法。

“大国之间的竞争,以及由此带来的冲突风险:这些是国际关系的固有特征,”新加坡前常驻联合国代表比拉哈里·考西坎在6月2026于亚洲举行的野村投资论坛上表示。

在他看来,国际秩序中共识的感觉是苏联解体后的一种异常现象。“那个时期已经结束,而且不会重现。但我们现在经历的某种程度是对历史常态的回归。

“世界处于一个非常复杂的空间,我们将在相当长一段时间内停留在这一空间。”

新加坡前国防部长黄永宏对时代变迁也有类似看法。“有几十年时间什么都没发生,也有几周时间发生了几十年的事情”——这句话常被归于弗拉基米尔·列宁。“我们正经历这样的时刻。”

如果投资者接受他们必须适应这一新的宏观现实,他们可以通过审视地缘政治影响的微观层面来寻找机会。

一个例子是稀土,它对世界的重要性超出人们通常的认识。“稀土基本上就在我们身边,”Ginger国际贸易与投资公司董事及《稀土观察》主编托马斯·克鲁默表示。“在你的家中,任何能开关的东西都含有少量稀土。没有稀土,它们就无法工作。”从汽车到核磁共振成像仪,从自动扶梯到数据中心,从核电站到海上风电场,都需要稀土。

但在2025,年,中国占全球稀土产量400,000公吨的92.5%。一个国家如此程度的控制使这些宝贵资源容易受到地缘政治变化的影响,例如中国在2024年4月针对美国关税实施的新出口限制。能够分析此类干扰影响以及受影响企业寻求新供应线需求的投资者,可从地缘政治变化中获益。

如今几乎没有比人工智能的未来对世界更具关键性的事物,它带来从就业到伦理的巨大潜在后果。但从投资者角度来看,我们旨在深入探讨什么真正创造价值,而非追逐头条新闻。

大型语言模型(LLM)技术就是一个很好的例子。人们通常将这些模型视为一种黑盒技术,其能力是AI价值的唯一贡献者。但这样想的投资者已经过时了。“虽然模型非常重要,但它们正日益成为商品,”AI新加坡高级AI产品总监Leslie Teo表示。“模型可以创造大量价值,而且它们确实创造了。但价值创造不仅仅来自模型本身。”

Teo认为,现在其他因素驱动着AI的价值创造。一个是分发,无论是开源还是闭源形式。另一个是他所称的“束缚”,即让用户不断回到同一平台的东西,例如LLM对用户需求的记忆以及开发者提供的工具。其他因素包括将AI嵌入工作流程,以及任何企业部署AI所必需的治理层。Teo将所有这些称为护城河。“从投资者的角度来看,问题不在于AI是开源的还是闭源的,而在于它的护城河在哪里。这才是驱动估值的因素。”

新加坡数字发展与信息部长Josephine Teo同样指出,大规模从AI创造价值需要更广泛的基础。她强调,AI工具需要有意义地融入企业,并得到具备使用技能的劳动力的支持。

“高级工具和行业特定模型不应在真空中运作;它们需要拥有技能的劳动力来指导、监督,并将其安全地整合到现有工作流程中,”她说。

这是新加坡为企业采用和扩展AI创造条件这一更广泛方法的一部分。

“通过提供基础设施、可信赖的护栏和有技能的劳动力,我们确保企业拥有稳定的基础来构建和扩展其AI解决方案。”

关于价值创造的争论超越了AI本身。地缘政治和新兴技术日益加快的市场化周期所驱动的市场深层结构性转变,正迫使投资者重新调整投资组合,以产生更好的回报。

公开市场和私募市场之间的动态日益影响资本配置决策。鉴于今年一些公开股票市场表现强劲(例如,韩国KOSPI综合指数在截至6月12³的年内上涨了99%,台湾TWSE上涨了53%⁴),当两者之间的估值差距缩小时,关于投资于相对缺乏流动性的私募市场的优势的问题便浮现出来。

新兴市场和发达市场比以往任何时候都更加分化,投资决策取决于它们与冲突地区的距离以及高能源价格的影响。拉丁美洲和澳大利亚等经济体正看到强劲的资金流入,而评级较低且为净出口国的新兴经济体也受益于投资者的兴趣。受能源短缺和地缘政治影响但仍推进AI发展的经济体也展现出积极势头。

投资者正在改变他们对亚洲机遇的看法。他们不再从区域角度看待投资,而是采取更本地化、针对具体市场的方法。跨产品、行业和市场的多元化对于产生回报正变得至关重要。

前景充满变化:地缘政治变化、技术变化和市场变化。这为投资者营造了一个既令人振奋又令人却步的环境。但那些能够从宏观经济争论中抽身、在喧嚣中寻求细微差别的人,将会发现可资利用的机会。

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完整英文原文

Geopolitics, AI and market shifts are driving diversification

Investors in Asia face wide-ranging challenges when deciding how to allocate capital. They range from big-picture questions about fractious geopolitics and the future of AI, to more technical questions about the correct balance between public and private markets. None of it is simple. But it does create opportunity along with the complexity.

It is tempting to think that the state of the world today is uniquely bleak: conflict in Iran and Ukraine, trade policy carried out through aggressive tariffs and confrontational rhetoric, a backlash against globalization arising from various imbalances. But some who have seen a few geopolitical cycles have taken a different view.

“Competition between major powers, and therefore the risk of conflict: these are inherent characteristics of international relations,” says Bilahari Kausikan, formerly Singapore’s Permanent Representative to the United Nations, speaking at the Nomura Investment Forum in Asia in June 2026.

In his interpretation, the feeling of a consensus in the international order was an aberration that followed the fall of the Soviet Union. "That period is over and it’s not going to be recreated. But what we are experiencing now is in some way a reversion to the historical norm.

“The world is in a very complex space, and we will remain in this space for quite some time to come.”

Ng Eng Hen, Singapore’s former Minister for Defence, has a similar view of an epochal time. “There are decades where nothing happens, and there are weeks where the decades happen,” – a quote often ascribed to Vladimir Lenin. “We are living through those times.”

If investors accept they must live with this new macro reality, they can find opportunity by examining the micro level of geopolitical impact.

An example is rare earths, more vital to the world than people tend to realize. “Rare earths are essentially all around us,” says Thomas Kruemmer, Director of Ginger International Trade & Investment, and editor of The Rare Earth Observer. “In your household, whatever you can switch on and off is enabled with small quantities of rare earth. It wouldn’t work without it.” Everything from cars to MRI machines, escalators to data centers, nuclear power plants to offshore wind farms, require rare earths.

But in 2025, China was responsible for 92.5% of the 400,000 metric tons of output of rare earths worldwide¹. This level of control by a single nation makes these precious resources vulnerable to changes brought about by geopolitics, such as a new export restriction implemented by China in April 2025 as a response to US tariffs². Investors who can analyze the outcomes of disruptions like this, and the need for impacted companies to seek new lines of supply, can gain an advantage from geopolitical change.

Few things are more pivotal to the world today than the future of AI, which has enormous potential consequences ranging from employment to ethics. But from an investor perspective, we aim to get into the weeds of what actually creates value rather than headlines.

A good example is large language model (LLM) technology. It is common to think of these models as a black box technology whose capability is the sole contributor to the value of AI. But investors who think that way are already out of date. “While models are very important, they are increasingly becoming commodities,” says Leslie Teo, Senior Director of AI Products at AI Singapore. “Models can create a lot of value, and they have. But you don’t get value creation just from the model.”

Teo argues that other things now drive value creation in AI. One is distribution, whether in open-source or closed-source form. Another is what he calls a harness, something that keeps people coming back to the same platform, such as an LLM’s memory of a user’s needs, and the tools the developer offers. Others include the embedding of AI in workflows, and the layers of governance that are necessary for any enterprise deployment of AI. Teo calls all of these things moats. “From an investor point of view, it’s not about whether an AI is open or closed, but where its moats are. That’s what drives valuation.”

Josephine Teo, Singapore’s Minister for Digital Development and Information, similarly points to the broader foundations needed to create value from AI at scale. She emphasizes that AI tools need to be integrated meaningfully into businesses and supported by a workforce equipped to use them.

“Advanced tools and industry-specific models should not operate in a vacuum; they require a workforce that has the skills to guide, supervise, and integrate them safely into existing workflows,” she says.

This is part of Singapore’s broader approach to creating the conditions for businesses to adopt and scale AI.

“By providing the infrastructure, the trusted guardrails, and a skilled workforce, we ensure that businesses have a stable foundation to build and scale their AI solutions.”

The debate on value creation goes beyond AI. Deep structural shifts in the market, driven by geopolitics and an increasingly fast to market cycle of emerging technologies, mean investors are being forced to recalibrate portfolios to generate better returns.

The dynamics between public and private markets are increasingly influencing capital allocation decisions. With some public equity markets performing strongly this year (South Korea’s KOSPI Composite Index was up 99% in the year to June 12³, for example, and Taiwan’s TWSE up 53%⁴), questions are emerging on the advantages of investing in relatively more illiquid private markets when valuation gaps between the two are narrowing.

Emerging and developed markets are more divided than ever, with investing decisions coming down to their proximity to conflict zones and the impact of high energy prices. Economies like Latin America and Australia are seeing strong flows, while lower-rated emerging economies that are net exporters are also benefitting from investor interest. Economies impacted by energy shortage and geopolitics but still pushing ahead with AI developments are also seeing positive momentum.

Investors are changing how they view opportunities in Asia. They are no longer looking at investment from a regional lens but are taking a more localized, market-specific approach. Diversification across products, sectors and markets is becoming essential for return generation.

The outlook is for change: geopolitical change, technology change and market change. It makes for a bracing and intimidating environment for investors. But those who can step back from macroeconomic altercation and seek nuance amid the noise will find opportunities to exploit.

This content has been prepared by Nomura solely for information purposes, and is not an offer to buy or sell or provide (as the case may be) or a solicitation of an offer to buy or sell or enter into any agreement with respect to any security, product, service (including but not limited to investment advisory services) or investment. The opinions expressed in the content do not constitute investment advice and independent advice should be sought where appropriate.The content contains general information only and does not take into account the individual objectives, financial situation or needs of a person. All information, opinions and estimates expressed in the content are current as of the date of publication, are subject to change without notice, and may become outdated over time. To the extent that any materials or investment services on or referred to in the content are construed to be regulated activities under the local laws of any jurisdiction and are made available to persons resident in such jurisdiction, they shall only be made available through appropriately licenced Nomura entities in that jurisdiction or otherwise through Nomura entities that are exempt from applicable licensing and regulatory requirements in that jurisdiction. For more information please go to https://www.nomuraholdings.com/policy/terms.html.

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AI 分析
由 AI 依据上文研报生成 · 非原文直译、非机构原话 · 重要判断请核对官网原文
关键论点
  • 地缘政治竞争是历史常态而非异常,投资者应适应。
  • 稀土对现代科技至关重要,中国的 dominance 造成供应链脆弱性。
  • AI价值创造正从模型转向分发、 harness、工作流和治理。
  • 公开和私募市场动态正在变化,估值差距缩小。
  • 投资者在亚洲采取本地化、市场特定的方法。
  • 跨产品、行业和市场的多元化对回报至关重要。
风险
  • 地缘政治冲突升级可能扰乱市场。
  • 稀土供应链集中带来风险。
  • AI采用可能面临监管和劳动力挑战。
  • 市场转变可能导致波动加剧。