Investors are turning their focus to Asia, seeking the next catalyst for global equity gains. Driven by the artificial intelligence wave, South Korean stocks led global gains this month, attracting significant capital inflows. Implied volatility in the options market has risen to extreme levels, prompting derivatives strategists to recommend long-oriented structures. These signals collectively point to the same conclusion: Asia's rally may have only just begun.
A team at Morgan Stanley Asia Pacific has recently emphasized that the underlying drivers of Asia's industrial cycle are shifting from traditional real estate and general manufacturing inventory replenishment to investments in AI and its infrastructure, energy security and transition, and defense and supply chain resilience. Morgan Stanley forecasts that Asia's total fixed asset investment could rise from approximately $11 trillion in 2025 to $16 trillion by 2030, with a nominal compound annual growth rate of around 7% from 2026 to 2030, significantly higher than recent levels.
The Core Logic of the 'Super Cycle': Accelerated Capital Expenditure in Asia The most critical difference in this Asian industrial cycle is that AI has brought capital expenditure back to the forefront. Over the past two years, market discussions on AI primarily focused on models, applications, and the US "Magnificent Seven" stocks. However, from an Asian perspective, the true meaning of AI is the comprehensive expansion of chips, memory, servers, optical modules, data centers, power systems, and cloud infrastructure.
Morgan Stanley notes that the proportion of global CIOs ranking AI as their top priority has increased to 39%. Correspondingly, global AI data center investment is projected to reach about $2.8 trillion from 2026 to 2028, with an annual growth rate of approximately 33%. Asia sits at the center of the AI hardware supply chain: from TSMC, Samsung, and SK Hynix to semiconductor, server, optical communication, and cloud infrastructure companies in mainland China, all are poised to benefit from this investment cycle. The report further expects capital expenditure from major chip companies to potentially increase from around $105 billion in 2025 to about $250 billion annually by 2028, indicating that AI is a capital-intensive race.
China's role warrants particular attention. Morgan Stanley views China's AI development as a competition in comprehensive system capabilities: computing power determines speed, cloud platforms determine scale, token usage determines economics, and application scenarios determine value attribution. Against the backdrop of ongoing external chip restrictions, the integration of domestic AI chips, local cloud platforms, and large model ecosystems is becoming a new focal point for Chinese technology investment. The analysis suggests China's AI chip market could reach $67 billion by 2030, with the domestic self-sufficiency rate potentially rising to 86%. While the full realization of this forecast remains to be seen, the direction is clear: the localization of computing power is gradually shifting from a policy imperative to a commercial one.
China's Export Narrative Expands from the "EV Trio" to Robotics In recent years, the brightest spots in China's export structure have been the "new three" items: electric vehicles, lithium batteries, and solar panels. The report posits that the next phase of incremental growth for Chinese manufacturing may come from robotics, particularly industrial and humanoid robots. Morgan Stanley points out that China already accounts for about half of the incremental global demand for industrial robots. Global humanoid robot shipments in 2025 are estimated at approximately 13,000 to 16,000 units, with about 90% coming from Chinese manufacturers. In contrast, markets like the US and Japan remain more in the prototype or early validation stages.
Interestingly, the report draws a parallel between China's current robotics exports and its EV exports around 2019: at that time, EV exports had not yet entered an explosive growth phase, but the supply chain, policy support, and manufacturing capabilities were largely in place. The robotics industry now exhibits similar characteristics—the market size is not yet large, but the supply chain is expanding rapidly. Data shows that China's 12-month rolling exports for humanoid robots and related products reached about $1.5 billion in March 2026, a level comparable to China's EV exports in early 2020. In the following years, EV exports expanded rapidly, reaching about $70 billion for the full year 2025, with the quarterly annualized run rate further increasing to approximately $86 billion.
Whether robotics can replicate the EV growth trajectory will depend on cost reductions, the opening of application scenarios, and the overseas regulatory environment. However, China's advantages in components, whole-machine manufacturing, supply chain coordination, and rapid iteration are already becoming apparent.
Energy Security and Defense Spending Provide Second and Third Growth Pillars The flip side of AI data center expansion is the immense demand for power and energy infrastructure. The more intensive the computing power, the greater the importance of electricity, cooling, grid capacity, and energy storage. Morgan Stanley believes energy shocks will catalyze investment in energy security across Asia. The share of renewable energy in Asia's primary energy consumption remains relatively low, indicating significant room for future investment. China, with its industrial strengths in solar PV, EVs, and lithium batteries, is a major beneficiary of this energy transition capital expenditure cycle, with related 12-month rolling exports nearing the $200 billion scale.
Concurrently, defense spending is showing a structural upward trend in several Asian economies. The ratio of defense expenditure to GDP has been rising in Japan, South Korea, India, and others. China and South Korea are also among the world's top ten defense exporters. For capital markets, this suggests that demand for industries like advanced manufacturing, materials, electronic components, and precision equipment may receive more sustained support. In other words, AI provides computing demand, energy presents infrastructure constraints, and defense and supply chain security offer "resilience investment" within a geopolitical context. The combination of these three factors forms the foundation of Asia's super cycle.
Primary Beneficiaries: China, South Korea, Japan at the Core of the Supply Chain Regarding the regional sequence of beneficiaries, Morgan Stanley highlights China, South Korea, and Japan. Mainland China excels in supply chain completeness, manufacturing scale, engineering capabilities, and emerging export categories like new energy and robotics. South Korea holds advantages in memory, HBM, batteries, and certain equipment and materials. Japan retains deep expertise in semiconductor equipment, materials, precision manufacturing, and industrial automation.
The share of capital goods exports is also telling. The report shows figures of approximately 38% for Thailand, 36% for China, 35% for Japan, and 30% for South Korea. This implies these economies exhibit greater sensitivity to external demand when the global economy enters a new cycle of equipment investment. Finally, from a capital market structure perspective, these markets have higher weightings in industrial, technology hardware, and materials-related sectors, making it easier for the macro capital expenditure cycle to translate into stock market performance. This also suggests that the pricing logic in Asian markets may shift in the coming years, focusing on which companies within the capital expenditure chain possess orders, technological barriers, and profit elasticity.
Risks to Consider: Overcapacity, Profit Margins, and Geopolitical Friction While the super cycle narrative is compelling, it does not imply all industries and companies will benefit equally or simultaneously.
First, capital expenditure expansion may bring periodic supply-side pressure. China's new energy industry has demonstrated that scale advantages can rapidly open global markets but may also be accompanied by price competition and profit margin volatility. Industries like robotics, AI hardware, solar PV, and energy storage could face similar challenges in the future.
Second, technology restrictions and export controls remain variables. While there is significant potential for AI chip localization in China, gaps persist in advanced process nodes, HBM, EDA tools, and equipment materials. The report also notes that while domestic chips still lag behind top-tier US chips, competitiveness can be enhanced through system optimization, advanced packaging, and software adaptation.
Third, employment structures will be impacted by AI. Morgan Stanley's "Future of Work" research estimates that about 90% of occupations will be affected to varying degrees by AI automation and augmentation. Among its sample companies, early AI adoption has led to productivity gains exceeding 11%, but also accompanied by a net average job reduction of about 4%, with significant variation across countries and industries. For China, balancing efficiency gains with retraining and job transition will be a crucial medium- to long-term policy and corporate management challenge.
Fourth, market volatility may increase. The report also cautions that the widening gap between bull and bear scenarios in regional markets implies persistent divergence in investor expectations regarding AI capital expenditure, export orders, and profit realization.