Asia Enters an Investment Supercycle: Bullish on AI Infrastructure, Cybersecurity, and Finance

Overview

Morgan Stanley has released its Asia-Pacific thematic strategy report, arguing that Asia’s re‑emergence as a global competitive powerhouse, driven by overarching megatrends, is ushering in an “investment supercycle” spanning AI infrastructure, energy and economic security, and defense. The report highlights that this cycle will deliver robust prospects for the industrials, materials, and energy sectors, while consumer discretionary and services may lag behind. The firm advises investors to focus on upstream industries and the financial sector, and to capitalize on the underweight positioning of commodities relative to computing power and capital goods, thereby broadening their investment exposure beyond technology stocks.

Core views

Core Drivers and Investment Themes: The research report argues that Asia’s competitive renaissance is primarily driven by four global megatrends: a multipolar world, the proliferation of AI and technology, the energy transition, and societal transformation. Among these, massive investments in security—spanning energy, economic resilience, and military capabilities—and in AI computing power are currently fueling a “supercycle.” This trend directly benefits upstream sectors such as industrials, materials, and energy, which underpin AI infrastructure, ensure energy security, and bolster national defense. By contrast, traditional consumer‑ and service‑oriented industries, lacking comparable structural tailwinds, are expected to lag behind the broader market. Regional Allocation and Reform Dividends: In terms of regional positioning, Japan, South Korea, and Taiwan stand out as markets where thematic opportunities are most concentrated. Japan has benefited from corporate governance reforms—such as improvements in return on equity (ROE) and productivity—leading to a doubling of its total payout ratio (dividends plus net share buybacks) since the launch of Abenomics. South Korea is undergoing a phase of “reform‑led revival,” while Taiwan occupies a pivotal role in the AI hardware supply chain. Additionally, Singapore’s capital market reforms and China’s anti‑involution initiatives provide further institutional support to these regional markets. Data indicate that, between 2025 and 2026, corporate reform indices in Japan and South Korea are likely to significantly outpace the MSCI Asia Pacific Index, underscoring the valuation re-rating potential stemming from enhanced governance. Valuation and Allocation Opportunities: From a valuation perspective, the compute sector, despite robust growth expectations, already reflects strong growth prospects in its pricing. In contrast, the commodities space may be undervalued and underweighted by the market. By comparing valuations across different economic exposure groups with their respective expected EPS growth rates, the report identifies relative value in capital goods and bulk commodities. Accordingly, institutions recommend broadening exposure beyond pure tech equities to include capital‑goods players—such as those involved in renewable energy, energy storage, semiconductor localization, AI infrastructure, defense, and electrical equipment.

Analysis framework

The institution has adopted an analytical framework that maps macro themes onto specific investment targets. First, it delineates four major macro themes—multipolar world, AI diffusion, future energy, and social transformation—and their respective sub‑themes (such as semiconductor localization, grid expansion, and rising defense spending). Second, a Sankey diagram is used to trace the flow of these macro themes into specific industry sectors—ranging from shipbuilding and defense to advanced materials and AI infrastructure—quantifying the number of themes and individual stocks associated with each sector. Finally, by integrating multi‑dimensional metrics—including valuation (P/E), earnings growth (EPS CAGR), and return on equity (ROE)—the firm identifies a shortlist of high‑confidence core holdings. This approach not only highlights sectors with strong cyclical momentum but also leverages correlation matrix analysis to help investors construct diversified thematic portfolios.

Methodology notes

• Industry/Industrial Analysis FrameworkTransmission across the upstream, midstream, and downstream segments of the industrial chain

  Upstream-first logic

  The research report underscores that, amid the investment supercycle, upstream sectors—such as industrials, materials, and energy—are more attractive than downstream consumer services. This is because AI‑related infrastructure development and security‑driven demand first translate into capital expenditures on hardware, equipment, and raw materials; this top‑down transmission mechanism ensures that upstream firms benefit earlier and with greater certainty.

• Competition and Strategic FrameworkMoat / competitive advantage

  Reshaping Competitiveness and Governance Reform

  The research report attributes market opportunities in Japan, South Korea, and other regions to “re‑reshaping competitiveness,” with the core focus on corporate governance reforms—such as enhancing ROE and increasing shareholder returns. This represents a fundamental‑driven strategic analysis, positing that institutional changes can bolster firms’ long‑term competitive advantages and elevate their valuation multiples.

• Quantitative/Factor/Portfolio TheoryMulti-factor model

  Topic Relevance Matrix

  The research report employs a correlation matrix to assess the price co-movements among various investment themes—such as AI, energy security, and defense. This enables investors to identify highly correlated pairs (e.g., AI enablers and AI adopters) as well as those with low or negative correlations (e.g., the diabetes ecosystem and natural gas globalization), thereby facilitating the construction of diversified portfolios.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• TSM (2330.TW)

  Core beneficiaries of AI infrastructure

  Strengths

  It holds an absolute dominant position in the AI chip manufacturing sector, with extremely high thematic relevance.

  Comparison

  Compared with other semiconductor equipment suppliers, its position as the leading foundry offers greater certainty and more pronounced economies of scale.

  Risks

  Geopolitical risks and export control restrictions.

• Mitsubishi Heavy Industries (7011.T)

  Benefiting from both national defense and energy security

  Strengths

  Its business spans the defense and aerospace sectors as well as energy equipment, closely aligning with the themes of a multipolar world and the future of energy.

  Comparison

  Among Japan’s industrial giants, its defense and energy businesses account for a relatively high proportion of total revenue.

  Risks

  Project execution risks and fluctuations in raw material costs.

• Contemporary Amperex Technology Co., Limited (300750.SZ)

  Core Stocks in Clean Energy and Energy Storage

  Strengths

  A global leader in power batteries, benefiting from the energy transition and a surge in energy storage demand.

  Comparison

  It possesses global competitiveness in battery technology and cost control.

  Risks

  Risks associated with international trade tensions and shifts in technological roadmaps.

• Samsung Electronics (005930.KS)

  Beneficiaries of AI Hardware and Storage Chips

  Strengths

  Covering storage, foundry services, and equipment, the company is fully integrated into the AI hardware ecosystem.

  Comparison

  Its business diversification is greater than that of pure storage vendors.

  Risks

  Fluctuations in the semiconductor cycle and intensifying competition.

Key data

• Asset Management Scale of Thematic FundsUS$808 billionAs of 2025, year-on-year growth stands at 25%, with recently launched funds predominantly concentrated in the AI and cybersecurity sectors.
• Japan’s Total Payment RatioMore than doubleSince the launch of Abenomics, Japanese corporations have seen a marked increase in their dividend-plus-net-share-buyback ratio, underscoring the effectiveness of corporate governance reforms.
• Emerging Markets Aggregate Payment Ratio37%Due to high capital expenditure requirements, shareholder returns in emerging markets remain significantly lower than those in developed markets.
• Taiwan/South Korea AI Theme Exposure57%In the Taiwan and South Korean markets, AI and technology‑driven sectors account for the largest share of market capitalization, underscoring their pivotal role in the global AI supply chain.

Impact & implications

For investors, this means revisiting the asset allocation framework in the Asia-Pacific region. Investment strategies that rely solely on consumption recovery or traditional tech‑software sectors may encounter headwinds, whereas upstream manufacturing, energy infrastructure, and the defense industry—aligned with the “hard‑tech” and “security” trends—are poised to reap long‑term capital‑expenditure tailwinds. In particular, capital‑goods companies that have established technological barriers in areas such as semiconductor localization, grid modernization, and renewable‑energy storage are likely to be key beneficiaries of this supercycle. Meanwhile, governance‑reform themes in Japan and South Korea offer an additional valuation‑recovery rationale beyond growth.

Risks

• Escalating geopolitical tensions could lead to supply-chain disruptions or trade restrictions.
• A global macroeconomic slowdown could dampen capital expenditure appetite, thereby weighing on demand in the upstream sector.
• The pace of technological advancement has fallen short of expectations, thereby extending the payback period for AI infrastructure investments.
• Policy shifts in various countries—such as the phasing out of subsidies and the tightening of regulations—could impact the development of the new-energy and semiconductor sectors.

What to watch

• The extent to which corporate governance reforms have been further implemented in Japan and South Korea, as well as the degree to which shareholder returns have improved.
• The actual progress in the implementation of global AI capital expenditures and their spillover effects on upstream hardware demand.
• Changes in fiscal budgets and order releases across countries in the energy security and defense sectors.
• The impact of commodity price volatility on the profit margins of midstream manufacturing.