# Supply Chain Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Supply Chain", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

China's Export Controls to Japan Create Bottleneck; 'White-Haired Stock God' Serenity Claims South Korea's Foosung to Become a 'Big Winner'

China's export controls on tungsten have triggered a supply crisis in the AI memory chip sector. Japan, accounting for 25% of global WF6 (tungsten hexafluoride) production, faces imminent shutdowns due to shortages of tungsten precursor from China. This forces major Korean chipmakers like Samsung and SK Hynix to urgently seek alternatives. Korean suppliers SK Specialty and Foosung are moving to fill the gap. SK Specialty has signed a long-term contract to supply Samsung with 150 tons of WF6 monthly. Foosung has begun certification with China's CSSC Specialty Gases to start large-scale WF6 imports by August. Market analysts, including social media figure "White-Haired Stock God" Serenity, have labeled Foosung a potential "big winner," with its stock rising significantly. The crisis has led to drastic price increases, with 2026 WF6 contract prices set to rise 70-90%. Japanese suppliers warn their key inventories could be depleted by mid-2026. However, the opportunity for Korean firms hinges on continued access to Chinese tungsten powder—a geopolitical choice rather than a permanent technological advantage. The situation highlights the fragility of the concentrated WF6 supply chain and the strategic risks for downstream chip manufacturers.

marsbit06/15 09:17

China's Export Controls to Japan Create Bottleneck; 'White-Haired Stock God' Serenity Claims South Korea's Foosung to Become a 'Big Winner'

marsbit06/15 09:17

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

marsbit06/13 03:32

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

marsbit06/13 03:32

Internet-Famous Institution Battles White-Haired Stock God: What Does the Report That Crashed CPO Stocks Actually Recommend?

The recent sell-off in optical stocks is not about CPO's validity but a reassessment of its *timeline*. A report by SemiAnalysis suggested NVIDIA's CPO mass production could be delayed to 2028-2029, challenging market expectations for rapid 2027-2028 volume ramp-up, causing corrections in stocks like AAOI and LITE. This sparked a debate. SemiAnalysis argues CPO's complexity and reliability challenges, particularly for large-scale data centers, could slow its adoption, benefiting intermediate solutions like NPO (near-packaged optics) and traditional pluggable modules. In response, analyst Serenity counters that NVIDIA's strong supply chain influence could accelerate the CPO adoption cycle. She cites signals like Lumentum's significant CPO orders for H1 2027 and NVIDIA's own announcements of CPO switches entering production. The core debate is the *slope* of CPO's rollout. The disagreement won't be settled by reports but by production data in 2026-2028—actual order volumes, yield rates, and field reliability will determine the timeline. While cautious on the near-term CPO ramp, SemiAnalysis highlights five alternative investment areas: Copper/AEC/ACC, Pluggable Optics/DSP, CPO Test Equipment, Power/UPS, and Board-level Power components. The market is now pricing not if CPO will happen, but how quickly.

marsbit06/10 04:51

Internet-Famous Institution Battles White-Haired Stock God: What Does the Report That Crashed CPO Stocks Actually Recommend?

marsbit06/10 04:51

Taiwanese Nodes on the AI Industry Chain: 9 Taiwanese Stock Picks Favored by 'New Stock God' Serenity

Investment analyst Serenity has spotlighted 9 Taiwanese stocks positioned within three key themes of the AI hardware supply chain: CPO (Co-packaged Optics), ASIC (Application-Specific Integrated Circuits), and Compound Semiconductors. For the CPO theme, anchored by TSMC's COUPE platform expected to mass produce in 2026, Serenity highlighted five stocks: FOCI (fiber array unit supplier), Shunsin Technology (optical packaging & testing), Xintec (wafer-level packaging & testing), MSSCorps (inspection/measurement tools), and Nextronics (connectors & thermal modules). Regarding the ASIC theme, driven by hyperscalers' custom chips, three companies were named: Alchip (design services for AWS), Unimicron (ABF substrates for Google TPU/AWS), and MediaTek (potential collaboration on Google TPU). A singular, strong conviction pick is Win Semiconductor, a compound semiconductor foundry and leader in InP/GaAs, seen as a beneficiary in areas like laser sources for silicon photonics and LEO satellite communications. Serenity argues that current valuations are not in a bubble, geopolitical risks are overstated, and the real systemic risk lies not in cross-strait tensions but in potential future cuts to hyperscaler (Microsoft, Amazon, Google, Meta, Oracle) capital expenditure—the primary driver of the current AI infrastructure boom.

marsbit06/09 09:10

Taiwanese Nodes on the AI Industry Chain: 9 Taiwanese Stock Picks Favored by 'New Stock God' Serenity

marsbit06/09 09:10

Serenity: LeaderDrive, the "Chinese Core" in the Robotics Race

The author argues that LeaderDrive (688017) is a uniquely attractive investment in China's robotics sector as a high-barrier components leader, distinct from low-margin assemblers or low-value part makers. It is highlighted by Western institutions like Goldman Sachs for its technical expertise in areas like harmonic reducers and its potential to capture a high bill-of-materials cost per humanoid robot, including components like planetary roller screws. The investment thesis covers high-entry-barrier parts, significant value per unit, and low-cost mass-production capability. Key risks include competition from other emerging Chinese firms and potential margin compression from mass production. However, the author believes non-Chinese companies cannot match China's low-cost production scale, predicting a bifurcated supply chain: cheap robots from China and costly ones from the West. The current valuation may seem high, but the author views it through the lens of the future massive TAM for humanoid robots, with predictions of millions of units annually. The long-term investment case is that LeaderDrive's current market cap will appear small if it captures substantial share in the exponentially growing humanoid robotics market over the next 3-5 years. This is presented as a long-term hold, not a short-term trade.

marsbit06/08 06:07

Serenity: LeaderDrive, the "Chinese Core" in the Robotics Race

marsbit06/08 06:07

South Korean Stocks Plunge, Global Funds Liquidate: Has the Semiconductor Fundamentals Really Changed?

South Korean stocks experienced their sharpest decline of the year, with the KOSPI index plunging nearly 9% on Monday, triggering a market circuit breaker. Leading semiconductor firms Samsung Electronics and SK Hynix were heavily sold off, raising questions about whether the AI-driven bull market has reached an inflection point. This sell-off was largely triggered by a significant drop in the U.S. semiconductor sector late last week. Concurrently, NVIDIA CEO Jensen Huang visited Seoul over the weekend, meeting with top executives from SK Group, Samsung, LG, and NAVER. He announced a new multi-year partnership with SK Hynix to co-develop next-generation memory products for AI data centers. Huang emphasized that AI infrastructure build-out remains in its early stages, creating a stark contrast between market panic and ongoing, strengthened industry collaboration. The article argues that South Korea has become one of the most sensitive markets for global AI-related capital flows, functioning like a large AI memory ETF due to the heavy weighting of its chipmakers. The current market turmoil reflects a shift in investor focus: from simply betting on overall AI growth to scrutinizing which companies will actually capture the profits from that growth. This "profit pool reassessment" phase is causing high volatility based on supply chain news and earnings guidance. Ultimately, the direction of the Korean market will be determined by external factors—NVIDIA's orders, HBM supply-demand dynamics, and capital expenditures from cloud service providers—rather than domestic conditions. The disconnect between sharp price corrections and continued strong signals from the industry core leaves the market at a crossroads, awaiting clearer data on the durability of AI infrastructure demand.

marsbit06/08 04:29

South Korean Stocks Plunge, Global Funds Liquidate: Has the Semiconductor Fundamentals Really Changed?

marsbit06/08 04:29

A Memory Reduction Report Triggers a Plunge: Is It an Overreaction?

A supply chain report regarding NVIDIA's Rubin platform's system memory configuration triggered a significant sell-off in AI memory stocks. The report suggested a potential reduction in per-rack CPU-side system memory (SOCAMM/LPDDR) from ~55TB to ~28TB, impacting the perceived value per cabinet. This led to sharp declines for Micron and SK Hynix, as the market broadly reacted to the negative headline of "memory cut," without initially distinguishing between CPU system memory and GPU-side HBM4. The article clarifies that the reported adjustment primarily affects the CPU-side system memory profit pool, not the HBM4 demand tied directly to GPUs, which remains a critical and supply-constrained component. The sell-off is interpreted as a high-position, sentiment-driven reaction in a crowded trade, rather than a fundamental reassessment of HBM. While the cost reduction per cabinet could theoretically boost overall rack shipments, this remains speculative. The key going forward is concrete data on final Rubin BOMs, actual shipment volumes, and revenue splits for companies like Micron (exposed to SOCAMM/DRAM) and SK Hynix (focused on HBM). The event highlights a market shift from buying a broad AI memory narrative to scrutinizing specific profit pools within the AI hardware chain.

marsbit06/05 06:30

A Memory Reduction Report Triggers a Plunge: Is It an Overreaction?

marsbit06/05 06:30

AAOI Defies Trend with Over 10% Surge, 'New Stock God' Serenity Predicts Potential to Double Again

On June 4th, despite a significant sell-off in the broader AI and semiconductor sector triggered by Broadcom's disappointing guidance, Applied Optoelectronics (AAOI) surged over 11%, showcasing a sharp divergence in market sentiment. Broadcom's warning about potential supply chain diversification by key customer Google and a weaker-than-expected outlook punctured the high-flying AI valuation narrative. This led to heavy selling in names like Broadcom (-12.6%) and Micron (-7%), with funds rotating into traditional industrial stocks. AAOI defied this trend. The stock has experienced high volatility recently, driven by bullish analyst coverage, notably from Rosenblatt which raised its price target to $220. Key catalysts include initial 800G optical module revenue from Amazon, potential certification from Oracle, and strong demand across its product portfolio. The company has reported cumulative orders for 800G/1.6T modules exceeding $324 million and is aggressively expanding manufacturing capacity in Texas, targeting an annualized run-rate of $1.4 billion for its module business by Q3 2027. However, AAOI's fundamentals present a mixed picture. Its Q1 2026 results missed expectations, showing a GAAP net loss, and Q2 guidance points to merely breakeven adjusted EPS. Risks include a delayed 800G production ramp to the second half of the year and high dependence on a few key cloud customers. Recent stock sales by company executives near price highs also noted. The article suggests AAOI's rally reflects a market beginning to differentiate within the AI ecosystem. While Broadcom's issues prompted a reassessment of custom ASIC and customer concentration risks, funds flowing into AAOI indicate a belief that the "physical bottleneck" narrative for optical connectivity—where supply remains tight—remains intact and is somewhat decoupled from the current sector weakness. The sustainability of AAOI's premium valuation now hinges on the successful execution of its production plans and upcoming quarterly results.

marsbit06/05 06:24

AAOI Defies Trend with Over 10% Surge, 'New Stock God' Serenity Predicts Potential to Double Again

marsbit06/05 06:24

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

Title: 55TB to 28TB? The Rumor and Panic Behind the Potential Halving of Rubin's Memory. On June 4th, a report from SemiAnalysis suggested NVIDIA's next-gen Vera Rubin NVL72 AI rack may ship with roughly 28TB of SOCAMM DRAM per rack instead of the anticipated 55TB, primarily using 96GB modules. This sparked a market panic, causing Micron's stock to drop over 10% on fears of halved memory demand. However, the article argues this panic is misguided for several key reasons. First, SOCAMM modules are socketed and upgradeable, not soldered. Lower initial configuration doesn't mean permanent demand loss. Second, the primary driver is a severe 2026 LPDDR5X supply shortage, not diminished need. NVIDIA is likely prioritizing rack shipments with available components. Third, with fixed total LPDDR5X supply, using less per rack could allow NVIDIA to ship *more* racks, not necessarily reducing overall memory orders. Micron's sharp drop was also attributed to a broader semiconductor sell-off triggered by Broadcom's earnings, with the SemiAnalysis report providing a convenient narrative for profit-taking after Micron's massive rally. In summary: the report on lower default configurations is likely accurate, but interpreting it as a demand collapse is wrong. The real risk for Micron lies in its reportedly minimal HBM4 share for Rubin, not in potentially flexible SOCAMM demand. The sell-off appears more like a correction amplified by coinciding negative catalysts.

marsbit06/05 01:15

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

marsbit06/05 01:15

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'

Invesco Great Wall Fund has released its "2026 China Corporate Globalization Report," titled "The 'Great Navigation Era' of Chinese Enterprises." The report analyzes the new trends and investment opportunities as Chinese companies expand globally, moving from simple product exports to comprehensive overseas operations involving services, branding, and local production. Driven by factors like trade friction, the pursuit of higher profit margins abroad, and policy support, globalization is becoming essential for Chinese companies. The report outlines an evolution: from early product export ("Globalization 1.0") to the current "Globalization 2.0," characterized by overseas capacity, capital goods investment, consumer brand expansion, and service exports. Chinese firms' competitive advantages are highlighted, including a vast engineer talent pool, low-cost and robust infrastructure, and complete industrial clusters. Specific sectors with significant出海 potential are identified: * **Capital Goods** (e.g., engineering machinery, power equipment): Benefiting from global demand, especially in Belt & Road markets and the AI-driven power grid upgrade cycle. * **Consumer Brands**: Transitioning from cost to brand advantage, leveraging供应链 efficiency. * **Technology & Innovation**: Including AI applications, optical modules within global tech supply chains, and new energy vehicles focusing on local production. * **Pharmaceuticals**: Chinese biotech firms are becoming preferred partners for global pharma, with potential for breakthrough drugs in areas like oncology and weight loss. The report concludes that corporate globalization represents a sustained, core theme for China's capital markets, though companies must navigate challenges like geopolitics and localization.

marsbit06/04 11:20

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'