That is why the buying is concentrated in North Asia. The trade is less about “Asia” as a single macro bucket and more about the region’s role in producing the hardware that makes AI infrastructure possible.
South Korea has become one of the most direct ways to invest in the AI memory cycle. Reuters reported in 2024 that hedge funds were already turning to South Korean chipmakers such as SK Hynix and Samsung Electronics as they searched for AI-related bargains tied to demand for high-end memory chips.
That thesis has since moved further into mainstream Wall Street positioning. Goldman Sachs reportedly called South Korea its top market in Asia and raised its Kospi target to 9,000, citing AI-driven demand for memory chips. JPMorgan also lifted its South Korea targets, raising its Kospi base target to 9,000 and its bull-case target to 10,000 while citing improvement in the semiconductor cycle, corporate governance reforms and industrial-sector growth.
For hedge funds, the appeal is clear: if AI data-center spending keeps expanding, demand for advanced memory can flow through Korean earnings. That gives South Korea a mix of cyclical recovery, AI exposure and index-level momentum.
Taiwan remains central because of its semiconductor foundry exposure, especially through TSMC. Morgan Stanley’s Asia research materials referenced robust AI semiconductor demand around TSMC, including a report that moved the company to “Top Pick.”
JPMorgan Asset Management has also highlighted TSMC as a major Asian equity holding in the context of AI-related technology strength. In practical terms, that makes Taiwan a core allocation for investors who want exposure to the manufacturing layer behind AI chips.
The risk is that Taiwan is also one of the most geopolitically sensitive parts of the trade. Morgan Stanley’s emerging-market commentary said Taiwan was supported by strong semiconductor earnings visibility and continued investor preference for AI supply-chain exposure, while also noting volatility linked to geopolitical developments.
Japan’s role is different from Korea’s or Taiwan’s. It is not the purest AI memory or foundry play, but it is a large, liquid developed market included in the same hedge-fund buying wave. Morgan Stanley’s 10-year high flow data specifically included Japanese equities alongside South Korea and Taiwan.
Goldman Sachs data earlier in 2026 also showed hedge funds buying both developed and emerging Asian equities, suggesting the regional trade is not limited to emerging markets. That matters for global funds that want Asia exposure with deeper liquidity and a developed-market profile.
Performance has made the trade harder for global investors to ignore. Morgan Stanley Investment Management said emerging-market equity returns were sharply divergent in the first quarter of 2026: technology-heavy North Asian markets outperformed, with Korea up 16.54% and Taiwan up 9.09%, while India fell 18.13% and China fell 8.94%.
This kind of relative performance can create a feedback loop. Rising markets attract more flows, Wall Street upgrades validate the earnings story, and hedge funds increase exposure to avoid missing the move.
South Korea shows that loop most clearly. Business Insider reported that Goldman Sachs viewed South Korean stocks as still attractive despite one of the world’s hottest rallies, while The Business Times reported that JPMorgan’s 10,000 bull-case target implied 33% upside from the prior Friday’s close.
The positioning signal is bullish, but not risk-free. Aju Press, citing a Goldman Sachs client note, reported that hedge-fund exposure to Asian equities had reached its highest level since at least 2016, with inflows concentrated in markets including Korea and Taiwan.
That level of exposure can be read two ways. On one hand, it shows institutional conviction in the AI-and-semiconductor thesis. On the other, it means the trade may be more vulnerable to profit-taking, valuation concerns or geopolitical shocks.
Some funds have also used short positions tactically in Taiwan and South Korea while keeping broader long exposure to emerging Asia, according to AInvest’s summary of hedge-fund positioning. That suggests the market is not simply making a one-way bet; funds are trying to stay exposed to the structural AI theme while hedging crowded or geopolitically sensitive parts of it.
Broker upgrades matter because they turn a thematic story into index targets and earnings forecasts. In Korea, Goldman’s 9,000 Kospi target and JPMorgan’s 10,000 bull-case target have helped frame the market as a major AI beneficiary rather than just a cyclical rebound.
There is also a macro angle. Goldman Sachs economists reportedly said South Korea and Taiwan’s AI-fueled chip booms could swell current-account surpluses to fresh records, creating what they called an “AI-driven super surplus.”
That does not remove the risks, but it broadens the bull case. Investors are not only buying company earnings; they are also buying economies that may benefit from AI-linked export strength.
The current hedge-fund positioning across Asia can be summed up in four themes:
The bottom line: hedge funds are buying Korea, Taiwan and Japan because North Asia offers concentrated exposure to the AI semiconductor cycle at a moment when earnings expectations, market performance and Wall Street upgrades are all pointing in the same direction. The opportunity is real, but so is the risk that a popular AI trade becomes vulnerable to crowding and geopolitical stress.
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