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The AI Paradox in Asia: How the Phenomenal Rise of TSMC and Samsung Trapped Major Funds into Forced Selling

Joe Weisenthal
Last updated: 08.06.2026 15:31
Joe Weisenthal
2 недели ago
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The AI Paradox in Asia: How the Phenomenal Rise of TSMC and Samsung Trapped Major Funds into Forced Selling
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The global race in artificial intelligence systems has reshaped the core principles of Asian trading floors, turning the rapid rise of technology leaders into a serious structural challenge for large institutional capital. We are witnessing the formation of a unique market phenomenon on the Taipei and Seoul stock exchanges, where the abnormally high returns of a narrow pool of issuers force asset managers to liquidate their most successful positions just to comply with internal regulatory limits. A clear example of this investment trap is the recent actions of Sam Conrad from Jupiter Asset Management, who was forced to systematically reduce exposure to key semiconductor assets at the very peak of their market attractiveness. According to analysts at KeyToFinancialTrends, the upward trend that drove year-to-date gains of 52% for TSMC, 159% for Samsung, and 184% for MediaTek triggered a critical level of disproportion in portfolio structures, directly violating classic diversification standards. Our expert opinion clearly indicates that regulatory restrictions and investment mandate requirements currently exert a far greater influence on capital allocation than corporations’ actual operational and financial performance, effectively punishing funds for picking the right winners.

The scale of this systemic distortion is confirmed by the fact that just three industrial giants — TSMC, Samsung, and SK Hynix — hold nearly a third of the total weight in the prominent regional MSCI Asia Pacific ex-Japan index. Such a concentrated capital allocation generates specific risks that fall completely outside standard risk management models. KeyToFinancialTrends believes that the wave of forced sales by active funds became a natural penalty for the overheating of stock benchmarks that are tightly bound to the success of a few companies. Current standards, which cap an individual issuer’s maximum share in total assets at around 10%, deprive the investment community of the ability to fully monetize the long-term technological cycle. This factor has not only distorted classic exchange mechanisms but has also amplified speculative pressure on national currencies — particularly the South Korean won, which reacts sharply to imbalances in export financial flows. According to research from HSBC, TSMC remains the most under-owned stock in emerging market fund portfolios precisely because the regional rally disrupts the structure of benchmark indices. We view the current situation as an obvious systemic contradiction, where technical regulations and mathematical index formulas artificially hold back the capitalization of global IT industry drivers. The full danger of this stock market architecture became evident during the recent profit-taking wave, when fears over AI sector overvaluation led to a rapid 12% drop in Korean indices and a 6% decline in Taiwanese indices in just three trading days.

Excessive investor optimism regarding the future financial results of the semiconductor industry has resulted in TSMC now accounting for 41.5% of the total volume of Taiwan’s TAIEX index, while the combined presence of Samsung and SK Hynix in South Korea’s KOSPI has reached an unprecedented 55%. We at KeyToFinancialTrends emphasize that these figures expose the critical vulnerability of local financial systems to the sentiments and capital movements of global players, since even a minor correction in the microelectronics sector automatically triggers a collapse of key country indices. This trend virtually nullifies the original economic purpose of index investing, turning diversified stock baskets into concentrated bets on two or three specific corporations. Such asymmetry makes generating alpha (excess returns) extremely difficult for portfolio managers. Analysts at HSBC observe a vicious cycle where the outperformance of heavyweights forces funds to increase sales, artificially creating an underweight position in their portfolios despite strong fundamental factors. Global trading data clearly confirms a sharp rise in intraday volatility, leaving local markets hostage to the liquidity of a narrow pool of issuers. The situation is further complicated by a total lack of viable alternatives for capital maneuver within the region, as nearly all adjacent segments are integrated into chip supply chains one way or another. According to Goldman Sachs estimates, the IT sector is showing isolated growth, while traditional industries, including healthcare and consumer goods, suffer from prolonged underperformance. Geographically, this is supported by the fact that the MSCI Asia Pacific ex-Japan index, excluding South Korea and Taiwan, lost 4%, despite the overall benchmark rising by 27%.

Similar imbalances were previously observed in the US market regarding the dominance of the Magnificent Seven in the S&P 500, which caused a massive shift of liquidity into passive instruments. However, in Asia, this trend is unfolding much more aggressively due to the shallower depth and lower capacity of local trading venues. Statistical reports from BNP Paribas show that over the past five years, active Asian funds experienced net capital outflows of $269 billion, while passive strategies attracted $510 billion — with 25% of that amount arriving in just the last six months. Representatives from BNP Paribas Securities describe the intensity of capital inflows into ETFs as unprecedented for the region over the past decade. KeyToFinancialTrends emphasizes that the expansion of passive capital exacerbates structural distortions, forcing index funds to buy appreciating assets regardless of their fundamental value, which artificially inflates corporate valuations and robs the market of flexibility.

To minimize risks, investors are forced to redirect capital deeper down the value chain, opening positions in mid-cap companies. For instance, Aberdeen Investments expanded its portfolio with shares of ASMPT and Grand Process Technology Corp, which supply equipment to semiconductor manufacturing plants. Conversely, Sam Conrad from Jupiter keeps his focus on core market players, maintaining large stakes in Hon Hai, Quanta, SK Hynix, and MediaTek, which allows him to beat the market by intentionally deviating from standard benchmark structures. We consider the migration of investors into adjacent segments and the second tier to be a fully justified strategy that reduces regulatory pressure, though it comes with higher operational risks due to the lower corporate transparency of mid-sized companies. Current concentration levels in Asia have surpassed the historical peaks seen during the golden era of China’s tech platforms — Baidu, Alibaba, and Tencent — whose combined share in the MSCI China index peaked at 37.14% in October 2020. The scale of the accompanying rebalancing is breaking records, triggering a $27.9 billion capital outflow from South Korean equities in May, despite a parallel inflow of $20.4 billion from US funds into Taiwan and Korea since the beginning of the year. Bernstein analysts confirm that the continuous April rally drove concentration risks to an all-time high.

Based on comprehensive market monitoring, Key To Financial Trends forecasts that high instability will persist in the Asian tech sector over the medium term. We believe that the deep imbalance between passive capital flows and active funds’ regulatory limits will continue to trigger technical sell-offs of leading semiconductor stocks. According to our projections, regional exchange regulators will be forced to revise index methodologies, introducing mechanisms to cap the maximum weight of individual issuers to stabilize national markets. Investors are advised to diversify risks by reducing direct dependence on index heavyweights and reallocating capital toward undervalued infrastructure solution providers, manufacturers of specialized chemical components, and board testing systems. The long-term potential of artificial intelligence technologies is beyond doubt, but the current configuration of Asian stock indices requires market participants to adopt flexible approaches and abandon blind benchmark-following to protect portfolios from regulatory and market shocks.

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