By May 14, 2026, the allocation rights for the high-performance computing power surrounding an Nvidia H200 have been torn into a long political rope. According to Reuters, American regulatory agencies approved about 10 Chinese companies to purchase the H200 between 2025 and early 2026, with approved companies including leading internet enterprises such as Alibaba, Tencent, and ByteDance. The U.S. government has tried to maintain a delicate balance between technological blockade and the commercial interests of domestic companies through case-by-case approval. However, as of May 14, these orders remain in a gray area of “approved but undelivered”; high-end chips are allowed to flow on paper, yet in reality, they have been put on hold. In stark contrast to this restricted supply chain is the fast-forward button pressed by capital on the AI storage giants in South Korea: Samsung Electronics' market value first broke the $1 trillion mark, and SK Hynix's stock price soared amid a surge in AI servers and high-bandwidth storage, reportedly rising about 274% in 2025 and over 200% in 2026 so far, with its market value approaching the $1 trillion threshold. If both reach this height, Korea would become the first country outside of the U.S. to have two trillion-dollar companies. Behind this seemingly glamorous story, new variables are gathering — the Samsung Electronics union issued a statement on May 14, demanding a response from management by Friday regarding their demands, or a strike will be initiated. Although the scale and duration of the strike have not been disclosed, considering Samsung's key production capacity in DRAM, NAND, and AI-related chips, any production interruption could directly impact the global AI server and storage supply chain. On the same day, the crypto market was also constructing its own AI narrative: BitMart announced that its contract business would launch the STARUSDT perpetual contract at 16:00 (UTC+8), supporting a maximum of 10 times leverage, with the exchange categorizing STAR as related to AI or energy tokens. Under a leveraged structure with no expiration date, this amplifies the price fluctuations and emotional speculations of such thematic assets. Amid the H200 export approval and stagnation, the market value race and strike risk of South Korean storage giants, and the opening of the STAR perpetual contract, AI-related assets in traditional stock and crypto markets are increasingly being pulled by the same group of variables: the tightness of computing power supply, the oscillation of policy attitudes, and the imaginative space of terminal demand.

H200 Approved But Not Delivered: A New Gray Zone in U.S.-China Tech Rivalry

At this critical juncture of high-end AI chips, the U.S. is tightening the overall valve with one hand while opening a “side door” for about 10 Chinese companies with the other. The Nvidia H200 has already been included in the scope of export controls to China, yet it has been allowed in case-by-case approvals for top enterprises like Alibaba, Tencent, and ByteDance; however, as of May 14, 2026, all these orders remain on paper with no physical deliveries. This posture of “verbal agreement, reality shelved” essentially draws a gray area between technological blockade and the commercial interests of U.S. companies: neither fully granting nor formally rejecting, locking Chinese computing power expectations in a potentially retractable authorization.

For the approved Chinese internet giants, this uncertainty forces them to downgrade the H200 from a "primary plan" to an "additional option." In the face of stagnant transactions with no signs of realization, they can only prepare internally in two ways: retain the potential benefits of the authorized order and consider it as a backup channel for possibly filling future computing power gaps; on the other hand, they increase investments in self-researched chips and diversified supply paths, aiming to design model training and inference platforms to be as “chip-neutral” as possible to switch among different computing power combinations. If the H200 remains in the approved but undelivered status for an extended period, the rhythm of China's AI industry will struggle to fully align with the iteration cycle of the latest generation of high-end chips from the U.S., and the geographical distribution of global AI computing power will be redrawn along this gray line, each seeking a balance of efficiency and security in a more fragmented technological system.

SK Hynix Approaches Trillion-Dollar Mark: The Acceleration of Korea's AI Giants

While Chinese tech giants are still stuck in the gray zone of “approved but not delivered” H200, the capital markets have raised the hardware bottleneck — storage — to a nearly weightless height. According to a single source, SK Hynix's stock price surged about 274% in 2025 and over 200% in 2026 so far, propelling itself to the threshold of a nearly $1 trillion market value in just about two years. The narrative is extremely straightforward: AI servers and training clusters depend on high-bandwidth storage, and HBM orders are seen as “advance receipts” for AI infrastructure spending in the coming years, with SK Hynix being one of the global leaders in DRAM and HBM, regarded as the most leveraged asset in the AI storage track by the market.

Interestingly, Samsung Electronics has already crossed the $1 trillion market value, becoming one of the highest-valued semiconductor companies globally. According to a single source, if SK Hynix's market value successfully breaks the $1 trillion mark, Korea will become the first country outside the U.S. to simultaneously have two trillion-dollar companies, making the “AI storage giants” more than just a media headline, but a power coordinate written on the global semiconductor map. The issue is that this trillion-dollar imagination could potentially bring the AI demand curve for the next few years into the current valuation all at once: if the expansion of AI servers falls short of expectations or if HBM supply turns from shortage to surplus, the stock price fluctuations of these two giants, centered around storage, will be amplified. The already highly cyclical storage industry will become an even more volatile financialized industrial cycle underpinned by AI narratives.

Samsung Union Puts Strike Threat on Table: Capacity Nerves Tense

On the very day the market was boosting the valuation curve of Korea’s “AI storage giants” amid strike expectations, the Samsung Electronics union threw down a card capable of pulling the global capacity nerves on May 14, 2026: declaring publicly that if management does not respond to the union's demands by Friday, a strike will be initiated. The statement did not elaborate on specific terms regarding bonuses, overtime, etc., and the outside world can rely only on a few official statements, while other details mostly remain at the level of media rumors. In other words, this is a public pressure move using opaque demands as the bargaining chip, aimed directly at the negotiation bottom line of management and also at the confidence of the capital market regarding “capacity continuity.”

What truly tightens the market's nerves is not the wording of this statement, but the production capacity leverage behind it. Samsung Electronics has globally important production capacities in DRAM, NAND, and some AI-related chips. Once a strike occurs, regardless of scale and duration, it will directly disrupt production schedules and shipping rhythms; in the current climate of high demand for AI servers and high-bandwidth storage, any capacity disruption from major Korean manufacturers will be amplified by downstream server manufacturers and cloud service providers as delivery uncertainties. Currently, market panic is more reflected in doubts about future capacity and delivery capabilities, rather than an already occurred large-scale shutdown, but in an environment where valuations have been boosted by AI expectations and stock prices are extremely sensitive to news, such a strike threat is sufficient to amplify the volatility of Korean tech stocks. Whether the strike truly takes place will be a key stress test to gauge the elasticity of this round of AI premium.

BitMart Launches STAR Contract to Stir AI Market

On the same day Korean tech stocks were elevated in volatility due to strike expectations, BitMart's contract business announced that it would launch the STARUSDT perpetual contract at 16:00 (UTC+8) on May 14, 2026, supporting a maximum of 10 times leverage. The official categorizes STAR as a token related to AI or energy themes, which means it has been thrown into the pool of “AI conceptual assets” from the very beginning, while the perpetual contract's design, having no expiration date and inherently providing leverage, directly channels the sentiment originally belonging to thematic stocks into the derivatives layer, which can magnify price fluctuations. To date, there has been no authoritative information confirming that leading derivative platforms like Binance Futures will follow suit with STARUSDT; claims about “major platforms about to launch” remain at the level of rumors, and BitMart has appeared more like a pace-setter near the emotional pressure line.

The introduction of 10 times leverage is, in fact, customizing another risk curve for AI conceptual tokens: in traditional markets, investors betting on the Nvidia H200 supply chain and chasing after Samsung Electronics and SK Hynix endure stock price fluctuations tied to order and policy expectations. However, in the case of AI narrative tokens like STAR, perpetual contracts can magnify the same macro expectations into several times the price fluctuations and risks of forced liquidation. Against the backdrop of the ongoing uncertainty regarding H200 approvals for China, the soaring market value of South Korean storage giants, and the lingering shadow of the strike, every emotional pulse of chip stocks might be interpreted by some traders as “the AI cycle is still continuing,” thereby spilling over into short-term leveraged speculative expectations toward tokens like STAR. Traditional capital markets and crypto markets, along the same narrative chain of AI, have formed a new type of resonance structure through STAR perpetual contracts, driven by expectations and amplified by volatility.

From Chips to Tokens: Risks and Opportunities Under the AI Craze

From the “approved but not delivered” status of the U.S. H200 to Samsung and SK Hynix's surge to a trillion-dollar valuation under the embrace of AI sentiment, and then to BitMart pushing AI themes to 10 times leverage through STARUSDT perpetual contracts, these three seemingly disparate threads revolve around the same axis: whoever holds the computing power can tell a larger AI story. For investors, chasing the dividends of this main line means having to bear triple risks — the first being policy and geopolitics; the U.S. still employs case-by-case approvals for high-end chips to China, and the H200 delivery remains unresolved long-term, where any change in direction could redefine valuation anchor points; the second is industry and labor relations; Korea, as the AI storage hub, finds the Samsung Electronics union has thrown down a strike threat, and the future production capacity and negotiation progress of SK Hynix and Samsung will directly affect the actual supply of global AI servers; the third is financial leverage and emotional amplification; once tokens like STAR labeled as AI concept assets enter the perpetual contract layer, their prices will be easier to be driven by macro expectations and sentiment. Under the same variables of computing power supply, policy attitude, and terminal demand, stock prices and token prices might resonate up and down, therefore what needs to be continuously tracked is whether the H200 will truly be delivered, whether South Korean storage giants can maintain capacity amid labor disputes, and what kind of liquidity and volatility structure AI conceptual tokens like STAR will form under a high-leverage environment.

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