The central investment thesis is straightforward but powerful: the billions these companies raise will not sit idle. They will be poured into data centers, server fleets, and compute infrastructure. A good portion of that spending, investors believe, will flow directly to the Asian manufacturers that build the components—server parts, specialized materials, cooling systems, and power equipment .
Since April 2025, a decisive rotation has been underway. Foreign institutional investors have been pulling billions out of Indian equities and redirecting capital toward South Korea and Taiwan to capture what is being called the "AI semiconductor supercycle." By early May 2026, foreign investors had withdrawn roughly $23 billion from Indian equities in 2026 alone, a figure that already exceeded the full-year record set in 2025 . That money has not vanished; ETF and direct equity flows have shifted heavily toward Korea- and Taiwan-focused funds
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The rotation is not limited to institutional capital. Wealthy Asian investors poured $24.3 billion into global AI private funding rounds in 2025—nearly triple the prior year—and had committed an additional $950 million by April 2026 . Much of that is finding its way into Asian component and equipment makers positioned to benefit from the coming infrastructure spending wave.
The scale of projected spending is difficult to overstate. OpenAI is burning an estimated $14 billion per year on compute and infrastructure, and HSBC analysts project it may need over $207 billion in cumulative capital through 2030 . Anthropic is in the middle of a $50 billion data center push, with plans to spend $19 billion in 2026 alone—$12 billion for training infrastructure and $7 billion for inference
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SpaceX’s S-1 revealed $12.7 billion in AI capex in the prior year, surpassing its launch and Starlink businesses combined . The filing also disclosed that Anthropic is a $1.25 billion-per-month compute customer locked in through 2029
. OpenAI has separately told investors it plans to spend $600 billion on computing power by 2030 and leads the Stargate project, a $500 billion joint venture targeting 10 gigawatts of AI data center capacity
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The combined effect is expected to drive a multi-year infrastructure spending cycle. Market participants estimate that the upcoming listings of SpaceX, OpenAI, and Anthropic could lead to an additional $70 billion in AI-related spending on top of existing commitments . J.P. Morgan estimates that close to 30% of total AI capex ultimately makes its way to the Taiwanese and South Korean economies
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The capital flows and earnings upgrades are producing a seismic reshuffling of global stock market rankings . Taiwan’s market capitalization surged nearly 40% in the first four months of 2026, adding over $1 trillion in value, reaching nearly $4.3 trillion and surpassing the UK to become Europe’s largest stock market by comparison
. South Korea’s market cap hit $4.59 trillion by May 2026, overtaking Canada to become the world’s seventh-largest equity market
. Both are now rapidly closing the gap with India’s total market capitalization
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This rally is reflected in benchmark indices. Taiwan has overtaken China to become the largest country weight in the MSCI Emerging Markets Index, and South Korea’s MSCI EM weight is expanding rapidly, also closing in on China . The shift is not merely cyclical; index reweightings of this magnitude represent a structural reallocation of global benchmarks toward AI-hardware-exposed economies.
The gains are concentrated in a small number of companies. Taiwan’s rise has been driven largely by TSMC, the world’s leading advanced chip foundry. South Korea’s rally has been lifted by Samsung Electronics and SK Hynix, two major suppliers of memory chips essential for AI systems . Together, these three firms have been responsible for the majority of the market cap gains that pushed both countries past major European markets over a seven-month period
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The initial phase of the AI trade focused on large-cap semiconductor manufacturers. The next phase, driven by IPO expectations, is broadening into second- and third-tier suppliers. Bloomberg reports that investors are increasingly targeting companies that make server parts, specialized materials, cooling components, and power equipment .
Some of the region’s hottest stocks recently have been in precision cooling, high-performance testing, and specialty chemicals—firms that sit deeper in the supply chain but stand to benefit from the same infrastructure buildout . BNP Paribas Asset Management has pointed to opportunities in companies that supply electrical components, thermal management, and advanced packaging materials
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The rotation is powerful but not without vulnerabilities. In a recent week, global equity inflows slowed sharply to $2.6 billion compared with a $22 billion average over the prior five weeks . South Korea saw a historic foreign outflow of $1.3 billion, while Taiwan inflows slowed to $160 million from a six-month weekly average of $820 million
. Analysts at Elara Securities described the slowdown as the first sign of exhaustion in positioning
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There are also domestic valuation concerns. KGI Securities noted in a March 2026 strategy report that while AI-driven structural demand remains in the early stages of an upcycle, a FOMO effect has driven AI stock valuations in Taiwan to historical highs, with signs of overvaluation appearing in non-AI sectors as well . This suggests that even if the structural trend remains intact, investors should expect periodic pullbacks and sector rotation within the Asian AI trade.
Nonetheless, the direction of capital is clear. Three of the largest IPOs in history are approaching, and investors are not waiting for the listings to begin positioning themselves in the companies that will supply the physical infrastructure those IPOs will fund. Whether the current pace of inflows continues or moderates, the structural reorientation of global equity capital toward Taiwan and South Korea appears to be a durable feature of the AI investment cycle.
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