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野村证券 · 2026/09/03

野村芯片短缺指数:AI时代商业周期的信号

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野村芯片短缺指数:AI时代商业周期的信号

短缺驱动的芯片周期预示着价格强势将持续至2027年及以后

在过去四十年的大部分时间里,半导体周期大体跟随全球经济走势,需求在经济繁荣时上升、衰退时下降。如今,这种关系正在发生变化。

半导体供应短缺正日益成为驱动全球经济商业周期(包括出口、收入和贸易顺差)的因素,尤其是在韩国等主要芯片制造中心,因为该行业正面临数十年来最严重的供应紧张。

随着AI驱动的支出推动自上世纪1990年代末以来最大的科技投资热潮,半导体可用性正成为制约计划投资执行程度的日益紧约束,使芯片供应成为增长和贸易的关键决定因素。

半导体周期本身已成为宏观经济动能的来源。我们新推出的野村芯片短缺指数(Nomura CSI)表明,当前由短缺驱动的上行周期及高企的芯片价格有望持续。结合我们的专题研究和月度更新,野村CSI有助于揭示AI时代不断演变的商业周期。

AI繁荣正在引发前所未有的芯片短缺,这正在重塑商业周期和政策应对的动态。

AI需求正变得更加持久:与以往与消费电子升级相关的周期不同,AI基础设施投资由多年支出计划驱动,使需求对芯片价格的敏感度降低。

供应不再轻易扩张:随着芯片小型化进展变得更困难且成本更高,摩尔定律的效益正在减弱,半导体供应增长放缓。

瓶颈正出现在需求最强劲之处:AI驱动的需求集中于先进芯片和内存,而新产能建设需数年时间,导致供应调整缓慢,造成持续短缺。

持续的瓶颈会推高价格并放大周期,但不会消除周期。正如以往科技繁荣所示,高价格最终会刺激新产能,往往导致供应过剩和调整。

瓶颈的物理特性导致平均价格水平更高、周期波动更大。对于投资者和政策制定者而言,区分结构性趋势与周期性阶段至关重要。

因此,芯片短缺动态定义了商业周期。这正是供应经济学取代物理规律之处:

客户行为放大波动:买家在短缺时常超量订购,在供应改善时削减订单,加剧需求和价格的波动。

这两股力量在AI资本支出周期中正变得更加普遍,并正在创造AI时代的新商业周期,凸显了系统性追踪半导体稀缺性以及芯片供需随时间平衡情况的必要性。

短缺在数据中留下清晰痕迹:出口值与出口量背离,产量与出货量背离,库存下降而订单上升,宣布的资本支出领先于实际支出。虽然每个指标单独来看都有噪音,但其综合信号揭示了潜在的失衡,这正是野村CSI旨在捕捉的。

半导体出口价格为我们模型提供了经济锚点,因为其对韩国的贸易条件、收入增长和整体经济前景至关重要。虽然现货和合同价格提供了有用的交叉验证,但韩国央行的半导体出口价格指数提供了跨产品最一致、最全面的衡量,使其成为我们VAR模型中的首选价格变量。

该指数涵盖整个市场周期,以100,为中心,此时需求与可交付供应处于平衡状态。高于100的读数表明芯片短缺,而低于100的读数则表明供应过剩。与100的距离衡量了失衡的大小,而变动则显示失衡是在加剧还是缓解。

我们构建了一个CSI时钟,将周期沿两个轴划分为四个阶段。从右下角开始逆时针移动,芯片周期从复苏转向繁荣,然后进入放缓,最后进入衰退。

7月份最新的野村CSI读数接近历史高位,为103.8。近几个月的月度变动温和,表明短缺周期尚未出现确认的转向。虽然短缺可能在边际上有所缓解,但短期内转向供应过剩的可能性不大。

历史分解揭示了三个不同的阶段:

当前周期有所不同。它结合了积极的行业势头和异常巨大的短缺冲击。与2021,不同,短缺现在正在强化行业自身的势头。

这一点很重要,因为短缺主导的周期往往产生更持久的价格冲击。我们的VAR结果表明,短缺冲击可以将半导体上升周期维持更长时间。鉴于当前上升周期始于H2 2025,,模型显示价格强势将持续到2027及以后。

我们相信野村CSI为追踪新兴的人工智能时代商业周期提供了一个强有力的框架。每月更新,它将衡量芯片短缺是加剧还是缓解,识别潜在的供需驱动因素,并发出潜在转折点的信号。结合我们的主题研究和月度更新,野村CSI预计将作为AI驱动经济周期的持续指南。

本内容由野村证券仅为提供信息之目的编制,不构成对任何证券、产品、服务(包括但不限于投资咨询服务)或投资的买入、卖出或提供(视情况而定)的要约,也不构成上述要约的招揽或订立任何相关协议的邀约。本内容中表达的观点不构成投资建议,在适当时应寻求独立建议。本内容仅包含一般信息,并未考虑个人的投资目标、财务状况或需求。本内容中所有信息、观点和估计均截至发布之日,如有变更,恕不另行通知,并可能随时间推移而过时。如果本内容中提及的任何材料或投资服务根据任何司法管辖区的当地法律被解释为受监管活动,并面向该司法管辖区的居民提供,则此类材料或服务应仅通过该司法管辖区持有适当牌照的野村实体提供,或通过在该司法管辖区豁免适用许可和监管要求的野村实体提供。更多信息,请访问https://www.nomuraholdings.com/policy/terms.html。

完整英文原文

A shortage-driven chip cycle points to price strength through 2027 and beyond

For most of the past four decades, the semiconductor cycle largely tracked the global economy, with demand rising in booms and falling in busts. Today, that relationship is changing.

Semiconductor supply shortages are now increasingly driving business cycles including exports, income and trade surplus across global economies, particularly in major chip manufacturing hubs such as Korea, as the industry faces its worst supply crunch in decades.

As AI-driven spending fuels the largest technology investment boom since the late 1990s, semiconductor availability is becoming an increasingly binding constraint on how much planned investment can be executed, making chip supply a key determinant of growth and trade.

The semiconductor cycle has become a source of macroeconomic momentum in its own. Our newly introduced Nomura Chip Shortage Index (Nomura CSI) suggests the current shortage-driven upswing and elevated chip prices can persist. Together with our thematic research and monthly updates, Nomura CSI can help shed light on the evolving business cycle in the AI era.

The AI boom is creating an unprecedented chip shortage, which is reshaping the dynamics of the business cycle and policy reaction.

AI demand is becoming more persistent: Unlike past cycles tied to consumer electronics upgrades, AI infrastructure investment is being driven by multi-year spending plans, making demand less sensitive to chip prices.

Supply is no longer expanding effortlessly: The benefits of Moore’s Law are fading as advances in chip miniaturization become harder and more costly, slowing growth in semiconductor supply.

Bottlenecks are emerging where demand is strongest: AI-driven demand is concentrated in advanced chips and memory, while new capacity takes years to build, causing supply to adjust slowly and creating persistent shortages.

A persistent bottleneck can lift prices and amplify the cycle, but does not eliminate the cycle. As past technology booms have shown, high prices eventually spur new capacity, often leading to oversupply and correction.

The physics of the bottleneck results in a higher average price level and larger cyclical swings. For investors and policymakers, distinguishing the structural trend from the cyclical phase is critical.

As a result, chip shortage dynamics define business cycles. This is where the economics of supply takes over from the physics:

Customer behavior amplifies the swings: Buyers often overorder during shortages and cut orders when supply improves, amplifying swings in demand and prices.

These two forces together are becoming more prevalent in AI capex cycles and creating new business cycles in the AI era, underscoring the need for a systematic way to track semiconductor scarcity and the balance between chip supply and demand over time.

Shortages leave a clear footprint in the data: export values diverge from export volumes, production diverges from shipments, inventories fall as orders rise and announced capital spending runs ahead of actual spending. While each indicator is noisy on its own, their combined signals reveal the underlying imbalance, which the Nomura CSI aims to capture.

Semiconductor export prices provide the economic anchor for our model, given their importance to Korea’s terms of trade, income growth and broader economic outlook. While spot and contract prices offer useful cross-checks, the BOK’s semiconductor export price index provides the most consistent and comprehensive measure across products, making it the preferred price variable for our VAR.

The index, spanning the full market cycle, is centered on 100, where demand and deliverable supply are in balance. Readings above 100 signal chip shortages, while those below 100 indicate excess supply. The distance from 100 measures the size of the imbalance, and the movement shows whether it is intensifying or easing.

We built a CSI clock that splits the cycle into four stages along two axes. Starting from the bottom-right and moving anticlockwise, the chip cycle rotates from recovery to boom, then enters a slowdown, and finally a recession.

The latest Nomura CSI reading for July is close to a record high at 103.8. Recent monthly moves have been modest, suggesting no confirmed turn in the shortage cycle. While shortages may ease at the margin, a shift into supply slack appears unlikely in the near term.

Historical decompositions reveal three distinct phases:

The current cycle is different. It combines positive industry momentum with an exceptionally large shortage shock. Unlike 2021, shortages are now reinforcing the industry's own momentum.

This matters because shortage-led cycles tend to generate a more persistent price impulse. Our VAR results indicate that a shortage shock can sustain the semiconductor upcycle for an extended period. With the current upturn beginning in H2 2025, the model points to continued price strength through 2027 and beyond.

We believe the Nomura CSI offers a powerful framework for tracking the emerging AI-era business cycle. Updated monthly, it will gauge whether chip shortages are intensifying or easing, identify the underlying supply and demand drivers, and signal potential turning points. Combined with our thematic research and monthly updates, the Nomura CSI is expected to serve as an ongoing guide to AI-driven economic cycles.

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
  • AI驱动的支出正推动自1990年代末以来最大的科技投资热潮,使半导体可用性成为投资执行的约束条件。
  • AI需求具有持续性,而供应扩张面临物理限制,因摩尔定律效应减弱和产能增长缓慢。
  • 短缺放大了周期波动,但高价格最终会刺激新产能,可能导致过度修正。
  • 以100为中心的Nomura CSI跟踪芯片失衡;读数高于100表示短缺。
风险
  • 上行风险:如果产能快速增加,短缺可能比预期更快缓解。
  • 下行风险:持续高价格可能引发供应过剩和急剧修正,正如过去的科技繁荣所示。