SK Hynix Stock In-Depth Analysis: How the AI Computing Power Race Transmits to the Cryptocurrency Market

In 2025, SK Hynix delivered a performance that could reshape the global semiconductor industry's power dynamics. The annual revenue reached 97.15 trillion Korean won, with an operating profit of 47.21 trillion won, and net profit of 42.95 trillion won. These figures not only significantly exceeded market expectations but also marked its first time surpassing long-time competitor Samsung Electronics in operating profit, topping Korea's listed company profit rankings. Especially in the fourth quarter, revenue grew 66.1% year-over-year to 32.8 trillion won, and operating profit surged 137.2% to 19.1 trillion won, with an operating margin reaching a historic high of 58%. This series of breakthroughs is no coincidence but a direct reflection of the revaluation of the memory industry’s value amid structural AI demand explosion.

The core driver behind such massive profit leaps is the surge in demand for HBM memory products. During the reporting period, SK Hynix's revenue from HBM in the DRAM business more than doubled compared to the previous year. More notably, SK Hynix claims to be the only manufacturer capable of simultaneously providing stable supply of HBM3E and the new generation HBM4, with HBM4 already entering mass production. This technological barrier concentrates profits in the upstream core components of the AI supply chain, shifting industry focus from traditional process technology to new stacking architectures and high-value storage solutions.

Why Capacity Race Matters for Overall Computing Power Pricing Power

Driven by high-performance memory demand, SK Hynix is undertaking an unprecedented capacity expansion. The company's DRAM, NAND, and HBM capacities are fully booked by customers through 2026. To meet urgent orders from AI giants, SK Hynix has significantly accelerated the mass production plan at its Cheongju M15X wafer fab, expecting to start mass production of HBM4 by February 2026, with an initial monthly capacity of about 10k wafers, and plans to multiply capacity by the end of the year.

Beyond wafer manufacturing, packaging capacity is also a critical bottleneck. SK Hynix announced a 19 trillion Korean won investment to build a new advanced packaging plant in Cheongju, South Korea, expected to be completed by the end of 2027. Meanwhile, the company plans to establish a solution subsidiary called “AI Co.” in the U.S., investing $10 billion to further integrate chip technology with data center needs. Amid widespread shortages in memory, procurement managers from tech giants like Meta, Microsoft, and Google are flocking to Korea to secure stable supplies. The speed of capacity expansion not only affects the supply resilience of the semiconductor industry itself but also influences global computing costs and pricing logic.

How Computing Power Shortages Are Reshaping Mining Infrastructure Logic

The capacity pressure faced by SK Hynix is essentially a microcosm of the global computing power shortage. This shortage is rapidly propagating into the crypto mining industry, driving a profound structural transformation of its infrastructure. In November 2025, Bitcoin network hash price fell below $35 per PH/day, with some miners’ total costs exceeding $80k. Under this pressure, about 70% of publicly listed miners are shifting significant computing power toward AI and high-performance computing, raising approximately $6 billion in capital and signing GPU supply contracts worth $15.5 billion.

Economically, AI workloads generate about 5 to 10 times the revenue of Bitcoin mining per unit of output. This huge economic gap has fundamentally changed miners’ expansion decisions. While ASIC miners are highly efficient, their algorithm-specific design makes them difficult to repurpose for general AI computing. Therefore, miners transitioning to AI need not only to compete for electricity and space but also to sign multi-year GPU supply contracts, with high-performance memory on GPUs directly limited by capacity constraints from manufacturers like SK Hynix. In other words, the infrastructure of computing power in the crypto industry is increasingly integrating with traditional AI data centers.

Why HBM Competition Shapes the Underlying of Crypto Asset Trading

When the infrastructure logic of crypto mining changes, its effects cascade up the industry chain, penetrating into the underlying layers of crypto asset trading. The barriers to HBM are not only performance metrics but also the distribution rights of capacity across the entire industry chain. Most of SK Hynix’s capacity is locked by AI giants like NVIDIA, leading to tighter supplies of general-purpose compute cards used for mining. For PoW assets, mining difficulty and total network hash rate are highly correlated, and hash rate growth is limited by hardware supply speed and costs.

It’s crucial to recognize that regional distribution and competition patterns of computing power directly impact network security and decentralization. When large miners secure hardware advantages through long-term supply agreements with semiconductor manufacturers, participation barriers for small miners rise further. This structural shift influences the distribution of crypto assets and affects market depth and liquidity. For platforms like Gate, understanding the tightness of the semiconductor supply chain helps better assess the long-term security thresholds of different crypto assets and the evolution of network activity.

How AI Computing Migration Is Shaping New Volatility Features of Crypto Assets

Historical data shows a dynamic negative correlation between Bitcoin mining profitability and hash rate. When hash rate growth slows and prices rise, miners’ profit margins expand rapidly, often leading to the selling of large amounts of existing tokens to lock in gains. However, current conditions differ significantly from previous cycles—miners are shifting toward AI services to diversify cash flows, rather than solely relying on Bitcoin price movements. Data indicates that the top ten listed miners hold over 120k BTC, worth more than $12.6 billion. Despite short-term pressures, these leading miners continue to accumulate coins.

This fundamental shift means miners are transitioning from passive price takers to long-term holders with stronger financial resilience. From this perspective, Bitcoin’s supply pressure post-halving may remain relatively low for an extended period, while rental income from AI computing markets acts as a buffer against price volatility. The cyclical nature of crypto markets is increasingly intertwined with the capital expenditure cycles of the AI industry, adding new variables to risk assessment frameworks.

How Trillion-Scale Market Cap Benchmarks Are Reshaping Crypto Asset Allocation Logic

On May 27, 2026, SK Hynix’s stock price surged by 14.9 intraday, pushing its market cap beyond 1,680 trillion Korean won, marking its first entry into the trillion-won market cap club. This milestone signifies Korea becoming the first country outside the U.S. to have more than one company with a trillion-won market cap. In the AI-driven structural market, the rapid expansion of semiconductor companies’ market caps reflects long-term premium valuation of computing infrastructure globally. Notably, many U.S. retail investors have recently invested billions of dollars into Korean single-stock leveraged ETFs, with significant funds flowing directly into SK Hynix and Samsung. This phenomenon indicates that global capital is crossing borders to seek the most core beneficiaries in the AI computing supply chain.

For crypto asset allocation, this trend offers important insights. One of the core narratives for crypto assets is their role as productive assets in the digital age. The market cap changes of upstream hardware manufacturers like SK Hynix effectively reflect the pricing trend of digital computing power as a fundamental element. The global chase for computing hardware also provides external valuation anchors for PoW assets and decentralized computing projects. As markets increasingly recognize “computing power as an asset,” the valuation paradigm for crypto assets may undergo a fundamental shift.

How Information Gaps in the Computing Industry Chain Are Reflected on the Gate Platform

As the upstream segments of the computing industry chain evolve, the resulting information gaps are being partially revealed through price discovery and information transmission on the Gate platform. By 2025, Gate’s global user base approached 50 million, with peak monthly spot trading volume exceeding $160 billion, capturing 6.04% of the global market share, and derivatives trading volume ranking among the top three worldwide. This extensive trading ecosystem makes Gate a key window into market pricing of computing assets. It not only directly involves the liquidity of PoW assets but also how AI-related thematic assets are priced in market expectations.

From a compliance and security perspective, Gate has continued to expand its global compliance footprint in 2025 and 2026, obtaining a full VARA license in Dubai, and receiving MiCA compliance and payment institution licenses in Malta, with an overall reserve ratio of 122%, and BTC reserve ratio of 147%. These robust compliance infrastructures provide a solid platform for cross-border flow of global computing capital and traditional crypto assets. As information gaps in the computing industry chain narrow, Gate’s trading depth and compliance capabilities will become core infrastructure for market participants’ asset allocation and risk management.

Insights from Semiconductor Cycle Fluctuations on Crypto Risk Management

Driven by AI demand, the semiconductor industry is entering a new upward cycle. However, the risk of cycle reversal always exists. Analysts warn that growth in memory chip demand may slow at some point in the future, and SK Hynix’s current astonishing profit margin of about 58% is near industry highs. Currently, roughly 25% of global AI GPU supply is locked in long-term contracts by miners. If AI demand growth slows or capacity is released en masse, hardware prices could decline sharply, transmitting downward pressure to crypto asset costs.

Effective risk management hinges on identifying risk shifts across different cycle stages. The current AI boom has attracted significant capital into data centers and GPU clusters, but whether these investments will generate expected returns within 2-3 years remains uncertain. If AI commercialization lags, miners’ AI income streams for hedging risks could shrink. Crypto market participants need to closely monitor semiconductor capacity utilization, average memory prices, and actual adoption of downstream AI applications. These indicators are key to assessing the long-term safety margins of crypto assets.

Summary

SK Hynix’s performance and market value have soared amid the AI wave, with its technological monopoly and capacity expansion strategies in HBM not only reshaping the global semiconductor industry but also profoundly altering the infrastructure and behavior of crypto mining. As miners accelerate transition from pure PoW operations to AI computing, the cyclical features of crypto assets are increasingly coupled with traditional AI industry capital expenditure cycles. This structural change in the industry chain provides new analytical dimensions for Gate’s asset pricing and requires market participants to incorporate semiconductor cycle and computing power pricing into risk management frameworks. Understanding upstream hardware industry evolution is now essential for accurately grasping the long-term trends of crypto assets.

FAQ

Q1: What are the main drivers behind SK Hynix’s performance growth?

Primarily the sales of HBM series memory. In 2025, SK Hynix’s HBM revenue more than doubled, with HBM3E and HBM4 as core components for AI servers, contributing most to profit growth.

Q2: How will HBM capacity shortages impact cryptocurrency mining?

Most HBM capacity is locked by AI giants, pushing up costs and wait times for general-purpose hardware like GPUs. Miners face higher hardware procurement barriers during the transition, potentially accelerating concentration of computing power among large miners.

Q3: Why are Bitcoin miners shifting toward AI computing operations?

AI workloads generate about 5 to 10 times the revenue per megawatt compared to Bitcoin mining, with longer contract cycles and less price volatility. Under current profit compression, shifting to AI services is a key strategy for miners to improve cash flow.

Q4: Where are the main risks from semiconductor cycle fluctuations for the crypto market?

If AI demand slows or capacity is released, hardware prices may decline, reducing miners’ AI income and increasing selling pressure, which can transmit to supply-demand and price levels of crypto assets.

Q5: What role does Gate play in the computing industry chain trend?

With nearly 53 million users, top-three derivatives trading volume globally, and ongoing compliance infrastructure, Gate provides a vital platform for market participants to observe computing asset pricing and conduct risk management.