Report: Rug Pull Incidents in the Crypto Space Have Decreased, but Their Impact Has Grown

Goldman Sachs' Timothy Moe and John Kwon noted that a 1 percentage point rise in the combined weight of Samsung and SK Hynix in South Korea's stock index could prompt foreign investors to pull around $2 billion from the South Korean market, as the U.S. Investment Company Act requires portfolios to meet diversification thresholds. Goldman Sachs also stated that a surge in capital into leveraged ETFs, combined with rising options trading and retail margin trading, has created a structural environment where daily price volatility far outpaces what corporate fundamentals can support. South Korea's asset management growth since last year has stemmed mainly from investment gains rather than new inflows. As valuations rise, institutional investors' mechanical exposure to market volatility has also increased—a trend often linked to hedging strategies. This means even a mild market correction could trigger a cascade of forced selling.

25-year-old Wall Street AI stock prodigy Leopold Aschenbrenner’s Situational Awareness LP disclosed in its latest 13G filing that the fund holds a 19.9% stake in SharonAI Holdings (SHAZ). The filing lists Leopold Aschenbrenner and Carl Shulman as filers. SharonAI Holdings Inc is a high-performance computing (HPC) firm that deploys large-scale energy and computing infrastructure and manages assets for the U.S. energy market and infrastructure. Per Bitget market data, SHAZ rose 14.07% in U.S. after-hours trading, currently trading at $92.4.

US-based sensor and power semiconductor solutions provider Allegro MicroSystems (ALGM) rose 14.7% on Monday, closing at $66.37 and hitting an intraday record high of $67.41. Mizuho Securities analyst Vijay Rakesh maintained the stock’s "Outperform" rating and raised its price target from $54 to $67, citing the company’s gains from surging demand for current sensors, fan drivers, and power semiconductors driven by the boom in AI servers. TD Cowen also named Allegro one of the "best picks" among small- and mid-cap stocks, setting a $70 price target. The firm notes that automotive electrification, autonomous driving, and AI data centers are all long-term growth drivers for the company, with its data center business currently accounting for around 14% of Allegro’s revenue. These rating adjustments signal Wall Street is seeking AI beneficiaries beyond Nvidia and Micron. AI data centers require not only GPUs and high-bandwidth storage, but also power supply, cooling, sensing, connectivity, and control systems. As capital expenditures from cloud vendors translate into actual construction orders, more small and mid-sized hardware firms are being included in AI-related deal pipelines. Analysts also point out that second-tier AI-related stocks typically have lower liquidity and higher valuation elasticity, making their share prices more sensitive to broker rating and price target adjustments. Allegro’s rally reflects market optimism about the expansion of the AI hardware supply chain, and also shows investors are willing to pay a higher premium for companies that are "indirect beneficiaries of AI".

T. Rowe Price portfolio specialist Amanda Ng noted in a report that the next phase of AI-related investment opportunities may lie further upstream in the supply chain, rather than the highly hyped AI platforms or chipmakers. She pointed out that areas like advanced packaging, semiconductor substrates, and high-end printed circuit boards (PCBs) are growing increasingly critical. While these components account for a relatively small share of the total bill of materials (BOM) required for AI, they could still become key bottlenecks. She also added that even a modest price increase for these products could significantly boost manufacturers' profits while remaining affordable for end customers.

Goldman Sachs strategist Ben Snider expects the AI investment wave will continue to dominate the S&P 500’s second-quarter (Q2) earnings season. He forecasts that S&P 500 constituents will post around 22% year-over-year (YoY) earnings growth in Q2, with Nvidia and Micron likely contributing roughly 40% of the total earnings growth, and AI infrastructure-related stocks accounting for nearly 60%. This means that despite recent rotation and divergence among AI-linked stocks, AI remains one of the most critical growth drivers for U.S. equities from an earnings perspective. Goldman’s assessment also suggests the current bull market is not entirely dependent on valuation expansion: the S&P 500 has climbed nearly 20% over the past year, driven primarily by earnings growth rather than further expansion of price-to-earnings (P/E) multiples. However, the focus of earnings season is shifting. Investors have broadly accepted that hyperscale cloud giants including Microsoft, Amazon, Alphabet, and Meta will continue to make massive capital expenditures. The real question now is whether these outlays will generate sufficient revenue, margins, and cash flow. In other words, the market wants to see not just AI server orders, but AI return on investment.

The global AI boom has pushed Samsung Electronics and SK Hynix’s stock prices to record highs this year, but the rally has also exposed the structural fragility of South Korea’s stock market, which is unaccustomed to sharp volatility. Together, Samsung and SK Hynix now hold a record 60% weighting in South Korea’s KOSPI index, up from around 40% two years ago. Last week, after a sharp market sell-off, regulators twice halted KOSPI trading to stabilize market confidence. Plans to launch large-cap stock options including SK Hynix have been delayed. One key concern is that retail investors are borrowing to buy Samsung and SK Hynix shares, exposing them to margin calls—where brokers demand additional cash if stock prices fall below a certain level. The over-concentration of market risk in these two stocks could also prompt institutional investors to pull back, amplifying downward pressure on share prices. Mathieu Lachet, head of equity research at Julius Baer, said recent market moves serve as an important reminder of concentration risk. When investor positions become crowded, periods of high volatility are to be expected.