# Chips Related Articles

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

The Semiconductor Century: Investment Roadmap Amidst the 2026 AI Surge

The Semiconductor Century: Investment Roadmap in the 2026 AI Surge This analysis outlines the pivotal role of semiconductors in the 2026 AI-driven landscape. With the global semiconductor market projected to reach ~$9.75 trillion in 2026, AI infrastructure spending by hyperscalers is a primary growth driver, fundamentally shifting demand from consumer electronics to strategic technology assets. The report breaks down the industry into four key segments: 1) Designers (e.g., Nvidia, AMD) who own high-margin IP; 2) Foundries, led by TSMC which manufactures ~90% of the world's most advanced chips; 3) Equipment makers like ASML, the sole producer of critical EUV lithography machines; and 4) Memory specialists such as SK Hynix, crucial for supplying high-bandwidth memory (HBM) for AI servers. It highlights significant companies: Nvidia (dominant in AI GPUs and CUDA software), TSMC (critical but geopolitically concentrated foundry), ASML (monopoly in advanced lithography), AMD (key alternative to Nvidia), Broadcom (leader in custom AI chips), and SK Hynix (leading HBM supplier). For diversified exposure, semiconductor ETFs like SMH, SOXX, and SOXQ are presented. Key investment risks are emphasized: over-reliance on AI demand, acute geopolitical and supply chain concentration in Taiwan, policy uncertainty around export controls, the cyclical nature of memory markets, and high valuations for leaders like Nvidia and Broadcom. Critical 2026 catalysts include the industry's push toward a $1 trillion annual sales milestone, the ramp-up of TSMC's Arizona factory, the deployment of Nvidia's next-generation Vera Rubin platform, AMD's market share progress, and HBM4 supply dynamics. The conclusion advises investors to balance the sector's extraordinary growth against its very real risks—geopolitical concentration, AI dependency, memory cyclicality, and valuation—to make informed decisions.

marsbit05/14 10:40

The Semiconductor Century: Investment Roadmap Amidst the 2026 AI Surge

marsbit05/14 10:40

Short Positions Have Been Squeezed Out: Will the Next Leg of the U.S. Stock AI Rally Continue in Seoul?

"Short Squeeze Exhausted: Will the Next Leg of the AI Rally Continue in Seoul?" A Nomura report suggests the US AI stock rally, which saw the S&P 500 rise ~16.6% in 28 days largely driven by 10 key stocks, may be pausing. The fuel from short covering, CTA fund positioning, and volatility-control strategies is nearing its limit. For the rally to continue, new momentum from retail and sentiment-driven FOMO (Fear Of Missing Out) is needed. South Korea's market provided a potential answer on the very day the report was published. The KOSPI index surged 4.32%, triggering a buy-side circuit breaker, led by massive gains in chip giants SK Hynix (+11.98%) and Samsung. This surge is characterized by retail "hynix FOMO" and overseas funds precisely buying into AI themes via chip-focused ETFs, shifting from broad Korean market ETFs. The Korean rally is a high-beta extension of the US AI capital expenditure story, as major cloud providers plan massive infrastructure spending, directly benefiting memory chip leaders. However, this linkage also implies vulnerability. The sustainability of this next leg depends on whether US tech stocks correct, the trajectory of US inflation (with upcoming CPI data key), and geopolitical tensions around the Strait of Hormuz. Seoul has emerged as the new epicenter of the AI trade, but its fate remains tied to these broader macro and market dynamics.

marsbit05/12 07:24

Short Positions Have Been Squeezed Out: Will the Next Leg of the U.S. Stock AI Rally Continue in Seoul?

marsbit05/12 07:24

Tom Lee's Core Investment Logic for 2026: Companies Selling Scarce Assets Are Crushing the Market

Tom Lee, founder of Fundstrat and manager of the Granny Shots fund, argues "scarcity" is the core investment theme for 2026. His thesis states companies selling "scarce assets"—products or services with structurally constrained supply and explosively growing demand—are dominating the market due to strong pricing power. He identifies three key scarcity areas: 1) AI compute (e.g., NVIDIA, AMD), limited by advanced chip manufacturing capacity; 2) AI memory/HBM (e.g., Micron), facing complex production challenges; and 3) energy infrastructure (e.g., GE Vernova), with long lead times for equipment needed to power booming data centers. Lee provides a macro trading framework: peaking oil prices signal lower inflation and potential Fed rate cuts, which benefit growth assets like the S&P 500 and Magnificent 7 stocks. Despite the S&P reaching his initial 7300 target, he sees a potential "feel-like-a-bear-market" mid-year pullback as a buying opportunity, raising his year-end target to 7700. Investment themes are prioritized as: 1) Global labor scarcity + AI automation, 2) Cybersecurity + energy security. The conclusion is that identifying companies benefiting from fundamental supply-demand imbalances, not just chasing rallies, is the path to outperformance in 2026.

链捕手05/10 03:05

Tom Lee's Core Investment Logic for 2026: Companies Selling Scarce Assets Are Crushing the Market

链捕手05/10 03:05

TechFlow Intelligence Briefing: S&P and Nasdaq Post Sixth Consecutive Weekly Gains; Aptos Foundation Bets $50 Million on AI Agent

TechFlow Intelligence Report Summary: The S&P and Nasdaq both recorded six consecutive weeks of gains. Aptos Foundation announced a $50 million investment in AI Agents, aiming to build infrastructure for AI and on-chain markets. Intel's stock hit a record high after a preliminary deal, reportedly brokered by the Trump administration, to manufacture chips for Apple. ByteDance plans to increase its AI infrastructure spending significantly to 200 billion yuan. Cloudflare's CEO stated AI made 1,100 roles obsolete while revenue hit a new high, sparking discussions on AI's impact on jobs. Strong US non-farm payroll data eased stagflation concerns, influencing market expectations for Fed policy. The report connects these developments to a broader narrative: a new power structure is forming around chips, computing power, and AI, involving governments, capital, and tech giants, while geopolitical tensions in the Strait of Hormuz highlight the parallel strain on energy security.

marsbit05/09 11:09

TechFlow Intelligence Briefing: S&P and Nasdaq Post Sixth Consecutive Weekly Gains; Aptos Foundation Bets $50 Million on AI Agent

marsbit05/09 11:09

The US Stock Market in 2026, It's Almost Too Easy, and That Makes Me Nervous

The U.S. stock market's performance in 2026, particularly in the semiconductor memory sector, has generated significant returns that make some investors uneasy. A popular sentiment contrasts the perceived skill required for success in China's A-shares with the apparent ease of profiting from simply holding U.S. stocks. The primary driver is a global memory chip boom. Stocks like Micron, Seagate, Western Digital, and especially SanDisk (spinning off from WDC in 2025) have skyrocketed, with some gains exceeding 500% or even 2200%. Korean giants Samsung and SK Hynix, dominating their domestic index, have also surged. This rally is fueled by an AI-driven demand surge for memory like HBM (High-Bandwidth Memory), critical for AI chips. Tech giants like Google and Microsoft are placing massive, "unpriced" orders, while analysts continuously upgrade forecasts. SK Hynix reported its 2026 HBM capacity is already sold out. Despite record profits and sky-high margins (e.g., SK Hynix's 72% operating margin), major memory manufacturers are deliberately restricting capital expenditure and capacity expansion, controlling over 90% of DRAM supply. This supply discipline sustains high prices but draws parallels to cartel behavior. The situation presents two narratives. The bullish case sees AI demand as a structural, long-term shift with a prolonged supply gap. The bearish case, exemplified by short-seller Citron's failed bet against SanDisk, warns of a classic commodity cycle where prices eventually crash rapidly, as seen historically. The irony is noted: while retail investors marvel at easy gains, insiders like Western Digital are selling SanDisk shares at a 25% discount. Ultimately, the high cost of memory in consumer devices feeds into the record profits of memory companies and the soaring stock prices, leading many to question the sustainability of a market where making money seems "as easy as breathing."

marsbit05/08 02:57

The US Stock Market in 2026, It's Almost Too Easy, and That Makes Me Nervous

marsbit05/08 02:57

AI Giants Enter the Dark Forest

In the AI industry's "dark forest," major players like Anthropic, OpenAI, and DeepSeek are strategically withholding their most advanced models to avoid becoming targets in a high-stakes competitive landscape. Anthropic released Claude Opus 4.7 but admitted it underperforms compared to their unreleased model Mythos, citing safety concerns. They delayed addressing user complaints about performance regression until OpenAI’s GPT-5.5 launch, highlighting a tactic of controlled disclosure aligned with competitors’ moves. OpenAI’s GPT-5.5, though a full retrain since GPT-4.5, was seen as incremental rather than revolutionary. Leaks revealed internal models like Glacier and Heisenberg, indicating significant unreleased capabilities. OpenAI acknowledges a "capability overhang," where real model power exceeds what users experience, often due to infrastructure-driven throttling. DeepSeek launched V4 Preview, a cost-efficient model, but its full potential (V4 Pro Max) awaits Huawei’s Ascend 950 super-nodes量产 in late 2026. Their strategy focuses on affordability and scalability, aiming to democratize AI access globally, a move noted even by NVIDIA’s CEO as a disruptive threat. Together, these actions reflect a broader trend: leading AI labs are deliberately pacing releases, hiding strengths, and aligning disclosures with competitive dynamics—each avoiding the risk of exposure in a forest where first movers become targets.

marsbit04/25 12:47

AI Giants Enter the Dark Forest

marsbit04/25 12:47

Not Just DeepSeek, Big Tech Companies Want to 'Abandon' NVIDIA

The article discusses how major tech companies are attempting to reduce their reliance on Nvidia, despite its dominant position in the AI chip market, where it enjoys a 75.2% GAAP gross margin. Companies like DeepSeek are adapting their models to run on domestic alternatives such as Huawei’s Ascend chips, while in the U.S., Google and Meta are developing their own AI chips (TPU and MTIA series) to complement external partnerships. Nvidia’s CEO, Jensen Huang, acknowledges that Moore’s Law is fading and that export restrictions may slow China’s AI development but could ultimately spur a self-sufficient ecosystem. Notably, Chinese firms are leading in open-source models, which could eventually challenge Nvidia’s monopoly. OpenAI is actively diversifying away from Nvidia, signing a $20 billion deal with Cerebras, a startup using wafer-scale chips to reduce latency and cost. Cerebras, founded by Andrew Feldman, aims to challenge Nvidia with its unique architecture but faces financial and competitive risks, including heavy dependence on OpenAI and geopolitical tensions. While competition is intensifying with players like AMD and Groq (which partnered with Nvidia), the overall demand for compute continues to grow. The market is shifting toward a diversified supplier model, though Nvidia remains a formidable force.

marsbit04/24 12:29

Not Just DeepSeek, Big Tech Companies Want to 'Abandon' NVIDIA

marsbit04/24 12:29

Chip Stocks Hit Record Highs Since 2000, SaaS Stocks Fall to Yearly Lows: Two Worlds Under the AI Divide

The article highlights a stark divergence in the tech market driven by AI: semiconductor stocks are surging while SaaS stocks plummet. On April 23, Texas Instruments saw its best single-day performance since 2000, with Q1 revenue up 19% and data center revenue surging 90%. Intel also reported blowout results, with revenue far exceeding expectations and its stock rising over 20% after hours. The semiconductor ETF (SMH) is up nearly 28% this year. In contrast, SaaS companies like ServiceNow and IBM experienced historic declines, with ServiceNow dropping 18% despite beating earnings estimates. The software ETF (IGV) has entered a technical bear market, losing about $2 trillion in market cap. The trend, dubbed "SaaSpocalypse," reflects fears that AI agents could reduce the need for software licenses and enable companies to build internal tools instead of relying on SaaS subscriptions. The market is rotating capital from software to semiconductors, betting on AI infrastructure as a safer play. Chip stocks now trade at high valuations—Texas Instruments at a P/E over 50, Intel at 120 times forward earnings—pricing in years of growth. However, this depends on continued massive AI capital expenditure from tech giants. If spending slows, the trend could reverse. For now, the divide persists: chips celebrate, SaaS struggles.

marsbit04/24 07:59

Chip Stocks Hit Record Highs Since 2000, SaaS Stocks Fall to Yearly Lows: Two Worlds Under the AI Divide

marsbit04/24 07:59

China's Chips, the Hidden Intersection of DeepSeek and Kimi

China's AI startup Kimi has released its latest open-source model, K2.6, featuring significant improvements in coding and agent capabilities. This version enhances long-context processing, supports up to 4,000 lines of code generation, and improves API accuracy and multi-agent collaboration, allowing up to 300 sub-agents to work in parallel. Kimi also introduced architectural innovations like MuonClip, Kimi Linear, and Attention Residuals to optimize scaling and efficiency. A key development is the "Prefill-as-a-Service" (PrfaaS) approach, which decouples prefill and decode tasks across data centers using heterogeneous hardware, significantly reducing latency and cost per token. This strategy not only improves performance but also creates opportunities for integration with domestic AI chips, as reliance on Chinese hardware grows due to export restrictions. Both Kimi and DeepSeek are increasingly aligning with local semiconductor advancements, shaping a new ecosystem for AI development in China.

marsbit04/22 06:58

China's Chips, the Hidden Intersection of DeepSeek and Kimi

marsbit04/22 06:58

Jensen Huang Publicly Challenges Google and Amazon, Is the Chip Business Entirely Sustained by Anthropic?

In a candid interview, Nvidia CEO Jensen Huang challenged competitors like Google and Amazon, admitted past strategic errors, and criticized U.S. export controls on AI chips. He framed Nvidia’s role as turning “electricity in, tokens out,” emphasizing the complexity and value of AI inference. Huang dismissed rival custom chips like Google’s TPU and Amazon’s Trainium as inflexible and niche, claiming their growth relies heavily on clients like Anthropic. He also acknowledged missing early investment opportunities in OpenAI and Anthropic. On China, Huang warned that export restrictions risk pushing the country toward self-sufficiency and could cost U.S. leadership in AI. Finally, he explained Nvidia’s acquisition of Groq as a move to serve premium, low-latency token markets. Throughout, Huang emphasized ecosystem trust and Nvidia’s central role in global AI infrastructure.

marsbit04/21 07:00

Jensen Huang Publicly Challenges Google and Amazon, Is the Chip Business Entirely Sustained by Anthropic?

marsbit04/21 07:00

活动图片

Hot Categoriesright-arrow

Hot Tagsright-arrow

Indepth Researchright-arrow

Market Analysisright-arrow