<div id="readability-page-1"><div><div><p>Author: BIT US Stock Channel; Source: X, ks_CN</p><p>Chips that drive artificial intelligence are reshaping geopolitics, restructuring supply chains, and driving the fastest growth in the history of the semiconductor industry.</p><p>Chips that drive artificial intelligence are reshaping geopolitics, restructuring supply chains, and driving the fastest growth in the history of the semiconductor industry.</p><p> Key Data: Global semiconductor market size (2025): approximately $792 billion; Q1 2026 sales: $298.5 billion; 2026 forecast: approximately $975 billion; Nvidia's 2026 fiscal year revenue: $215.9 billion; TSMC's Q1 2026 net profit increased by 58% year-on-year. I. Why Semiconductors Are More Important Than Ever Before: Semiconductors are the material foundation for artificial intelligence, cloud computing, smartphones, electric vehicles, and defense systems. Every time an AI model generates a response, a chip performs billions of calculations in milliseconds. All of this runs on silicon. Unlike previous cycles driven by single devices (such as phones or PCs), the current surge is supported by spending on AI infrastructure. In 2026, the top five hyperscale cloud providers pledged over $600 billion in AI infrastructure, a 36% year-on-year increase. This fundamental shift in demand structure manifests in the fact that high-value AI chips contribute about half of the industry's revenue, but account for less than 0.2% of total shipments. Semiconductors have evolved from consumer electronics components into strategic assets for giants with market capitalizations exceeding $10 trillion.  Educational Note: A modern AI chip contains billions of transistors etched onto a silicon wafer the size of a fingernail. The &#34;nanometer&#34; value of a chip represents the size of these features; the smaller the nanometer number, the more transistors are integrated on each chip, resulting in greater computing power. The more advanced the node, the more complex the required manufacturing process. II. Four Core Tracks: Who Controls the Silicon Wafer Blueprint? Investors need to understand the four key roles in the supply chain, rather than conflating them: **Designers (Architects):** These companies design chips but don't manufacture them themselves. They own the intellectual property and hand over the design blueprints to manufacturers. Because they don't need to operate factories, their gross margins are among the highest in the tech sector, typically exceeding 70%. Nvidia, AMD, Qualcomm, Apple, and Broadcom are all fabless companies. **Foundries (Manufacturers):** Foundries manufacture chips at scale in large facilities called fabs, with single-fab construction costs reaching $20 billion or more. TSMC accounts for approximately 70% to 72% of the overall global foundry market revenue and produces about 90% of the world's most advanced 3nm and smaller chips. Every Nvidia Blackwell GPU, every Apple A-series processor, and every advanced AI accelerator from hyperscale cloud providers is manufactured in TSMC's wafer fabs in Taiwan. This concentration means that the world's most critical technology supply chain operates within a geographical area roughly the size of Belgium and only 180 kilometers from mainland China. Equipment vendors (tools): Without the machines to manufacture chips, chips cannot be manufactured. ASML is the only company in the world capable of manufacturing extreme ultraviolet lithography machines, essential for patterning chip features at 7-nanometer and below nodes. Without ASML, the entire semiconductor technology roadmap would grind to a halt. Applied Materials, Lam Research, and KLA provide other critical tools needed for deposition, etching, and inspection processes. Memory vendors (memory layer): High-bandwidth memory (HBM) is placed adjacent to the GPU in data center servers, delivering data to chips at speeds unmatched by any traditional memory. Without sufficient HBM (Hardware Partition Machine), even the world's fastest GPUs can only idle and wait. SK Hynix, Samsung, and Micron are the three major manufacturers. HBM sales are expected to exceed $30 billion in 2025, and total memory revenue is projected to reach approximately $200 billion in 2026. The semiconductor industry has become a core component of global economic security. In the current complex international environment, investors need to focus on the profound adjustments in supply chain structures and the policy spillover effects: Industry Repatriation and Localization: As many countries implement semiconductor incentive laws, the geographical concentration of advanced processes is beginning to disperse. The progress of TSMC's Arizona plant has become a benchmark for measuring &#34;supply chain resilience,&#34; and early procurement agreements with giants like Apple signify that global advanced production capacity is shifting from a single region to a multipolar distribution. **Technology Access and Market Adaptation:** Strict export controls are forcing multinational chip giants to reassess their revenue structures. Companies like Nvidia and ASML are maintaining their global market share by developing customized products within a compliant framework. This &#34;compliance-driven innovation&#34; is both a survival strategy for these companies and reflects the rigid demand for high-performance computing power in the global market. **Redistribution of Computing Resources:** In regions with limited access to computing power, the industry logic is shifting from &#34;pursuing maximum computing power&#34; to &#34;optimizing computing efficiency.&#34; Leading domestic manufacturers and model developers are attempting to alleviate the structural contradiction between computing power supply and demand through software optimization, architectural innovation (such as in-memory computing), and the deployment of local alternatives in specific scenarios. **New Forms of Cross-Border Flows:** Under the inertia of globalization, the cross-border flow of computing resources is taking on more covert and diverse forms. Policymakers are strengthening regulation by increasing supply chain transparency and establishing chip traceability mechanisms. For investors, this means that compliance risk has become a key dimension for assessing the premium of semiconductor assets. </p><h2>IV. Key Companies Worth Studying</h2><h3>Nvidia (NVDA)</h3><p>Nvidia is the most iconic company in the current semiconductor cycle. Its GPUs have become the default hardware for training AI models, and its CUDA software platform has built a software ecosystem moat that is more enduring than any hardware advantage.</p><p> Key Financial Data: Total Revenue for Fiscal Year 2026: $215.9 billion, a 65% year-over-year increase (SEC Form 8-K, February 2026) Data Center Revenue: Approximately $193.7 billion to $194 billion, a 68% year-over-year increase Q4 Revenue for Fiscal Year 2026: $68.1 billion, a 73% year-over-year increase Nvidia holds approximately 15.8% of the global semiconductor market share. Forward Price-to-Earnings Ratio: Approximately 32x The core issues investors are concerned about are: The Vera Rubin platform, based on TSMC's 3nm process, boasts 336 billion transistors and inference costs up to 10 times lower than Blackwell. AWS, Google Cloud, Microsoft Azure, and Oracle Cloud have all committed to deployment. Nvidia has secured most of its HBM4 supply from SK Hynix and Samsung. The depth of the CUDA moat exceeds most investors' understanding. Millions of developers have already written AI software based on CUDA; switching to competitor chips means rewriting years of accumulated code, creating significant migration friction. Google, Amazon, and Microsoft's development of their own in-house chips to reduce reliance on Nvidia represents the primary long-term structural risk. Export controls to China are one of the most significant hidden revenue pressures facing technology companies today. TSMC (TSM) is both the most critical and geographically concentrated node in the global technology supply chain. Key Financial Data: 2025 Revenue: Approximately $122.5 billion to $122.9 billion, representing a year-over-year growth of approximately 31% to 36%. 2026 Q1 Net Profit: 58% year-over-year growth, marking the fourth consecutive quarter of record highs. 2026 Q2 Revenue Guidance: $39 billion to $40.2 billion. 2026 Fiscal Year Capital Expenditure: $52 billion to $56 billion. 74% of 2026 Q1 wafer revenue comes from 7nm and below advanced processes. Forward P/E Ratio: Approximately 24x </p><p><strong>Key Issues for Investors</strong>:</p><ul><li>TSMC is the most direct beneficiary of AI chip spending regardless of who receives it; it's a volume-driven infrastructure stock betting on the entire AI theme, rather than a targeted bet on a specific winner.</li><li>Geopolitical risk premium explains TSMC's valuation discount relative to Nvidia and Broadcom, even though its revenue growth is comparable to or even stronger than theirs. Investors must actively judge whether a forward P/E ratio of 24x reasonably reflects the risks inherent in a scenario that has never occurred.</li><li>The Arizona-based diversification strategy is real, but currently limited in scale. The second factory is expected to begin 3nm production by the end of 2026, and Apple's chip procurement agreement provides early commercial validation.</li><li> ASML is the only company in the world capable of manufacturing EUV lithography machines. Without these machines, chips smaller than 7 nanometers cannot be manufactured; without these chips, there is no advanced AI. The core issue investors are focused on: ASML's EUV monopoly is the culmination of decades of expertise in physics, optics, and precision mechanical engineering. No other company has come close to developing similar equipment, and this competitive advantage cannot be replicated in the short term. Every new wafer fab built globally, whether it's a project supported by the Chip Act, Japan's semiconductor investment plan, or TSMC's expansion plans, represents a demand for ASML equipment. Export restrictions to China have compressed its addressable market, and this restriction will persist as long as the current geopolitical environment remains unchanged. Long order backlogs provide ASML with rare revenue visibility, as customers need to place orders years in advance, which is extremely rare among most technology companies. AMD (AMD) is Nvidia's most substantial AI accelerator competitor, benefiting from the same TSMC foundry relationship as Nvidia, and is attracting hyperscale cloud vendors looking to diversify their vendor reliance. Key Financial Data: MI308 (downgraded version, approved for export to China) achieved quarterly sales of $390 million. Data Center GPU Revenue Guidance: 60% CAGR over the next five years. Core Investor Concerns: The bullish logic lies in the supplier diversification needs of hyperscale cloud vendors. No large technology company is willing to rely entirely on a single chip supplier, and Nvidia's market dominance actually creates a structural incentive for introducing AMD as a second supplier. AMD's ROCm software platform is its most critical challenge. While it has made significant progress, it still lags behind CUDA in developer adoption. Bridging the software gap is more important than bridging the hardware gap. Broadcom (AVGO) designs custom AI accelerators (ASICs) specifically for hyperscale cloud vendors—chips optimized for specific workloads, rather than general-purpose GPUs. Google's TPUs, used throughout its AI product portfolio, are Broadcom-designed chips. Key Financial Data: AI semiconductor revenue is projected to exceed $30 billion in fiscal year 2026. Forward P/E ratio: Approximately 41x, the highest among major semiconductor companies. Core Investor Concerns: As hyperscale cloud providers scale up AI deployments, custom chips optimized for specific workloads will become increasingly attractive. Broadcom has a deep and solid partnership with Google and Meta, giving it a leading position in the custom chip market. A forward P/E ratio of 41x requires Broadcom to maintain strong execution. Any slowdown in custom chip orders from hyperscale cloud vendors will have a significant impact on this valuation level. SK Hynix leads the HBM market with a market share of approximately 53% to 62%. Its HBM3e is the memory standard for Nvidia Blackwell GPUs, and HBM4 will be integrated into the Nvidia Rubin platform, with Nvidia having secured the majority of the HBM4 supply. The core issue investors are focused on: HBM is the real bottleneck for AI chip deployment. Even if Nvidia delivers every GPU on time, without sufficient HBM, these GPUs cannot operate at full capacity, giving SK Hynix extraordinary pricing power in the current AI infrastructure construction boom. SK Hynix is ​​listed on the Korea Exchange, and exposure can be obtained through Korean brokerage accounts, some international brokerages, or indirectly through semiconductor ETFs. Memory has historically been highly cyclical. Although HBM has a certain natural barrier against oversupply due to its special manufacturing process requirements, investors still need to understand the cyclical risks inherent in the memory sector. V. Semiconductor ETFs SMH — Invesco Semiconductor ETF The most widely used semiconductor ETF, with assets under management of approximately $46 billion to $47 billion, holding 26 companies covering chip designers, foundries, equipment manufacturers, and memory producers. Major holdings: Nvidia approximately 19.4%, TSMC approximately 11.6%, Broadcom approximately 7.7%. Management fee: 0.35%. Widely considered the most efficient single tool covering the entire AI semiconductor supply chain. SOXX — iShares Semiconductor ETF: The closest competitor to SMH, holding 30 companies, with historical long-term returns roughly on par with SMH. Management fee: 0.35%. Five-year return up to 2025 is approximately 140%. SOXQ — Invesco PHLX Semiconductor ETF: Roughly equivalent in sector coverage to SMH and SOXX, with a significantly lower management fee. Management fee: 0.19%, the lowest among major semiconductor ETFs, making it the optimal choice for cost-conscious investors seeking similar sector exposure. **Educational Notes:** When comparing ETFs, pay attention to the weighting method. SMH uses capped market capitalization weighting to ensure that Nvidia does not become overly concentrated. Understanding how ETFs are constructed helps you understand what you actually hold and how their performance will differ during sector rotation. **VI. Key Risk Warnings for 2026** **AI Concentration Risk:** The entire industry has put all its eggs in one basket—AI. If AI infrastructure spending slows due to lower-than-expected monetization, geopolitical shocks, or efficiency breakthroughs, the impact on semiconductor revenue will be direct and immediate. Deloitte explicitly lists this as a core risk despite the industry's record revenue. **Geopolitical and Supply Chain Risks:** TSMC produces approximately 90% of the world's most advanced chips in Taiwan. Any disruption to Taiwan's manufacturing operations would have a profound and undeniable impact on the entire global technology industry. While the Arizona decentralization is underway, truly shifting the manufacturing center off Taiwan will take several years. Export Control Policy Uncertainty. US semiconductor export controls are influenced by political factors and are subject to policy changes. The current administration has maintained some controls while relaxing others, including rescinding the Biden-era AI proliferation rules. Future policy decisions could open new markets for US chip companies or close existing channels. Memory Cyclical Risks. Driven by AI-driven demand, consumer memory prices have already increased approximately fourfold between September and November 2025 and are expected to rise further by up to 50% in early 2026. Deloitte warns that memory capacity expansion could trigger oversupply and a price collapse by the end of 2026 or 2027. Markets that overshoot during an upward phase often overshoot during a downward phase as well. Valuation Risk. Nvidia's forward P/E ratios of approximately 32x and Broadcom's approximately 41x embed extremely high growth expectations. Lower-than-expected quarterly revenue, downward revisions of guidance, or shifts in market sentiment, even with a solid core business, can trigger a sharp drop in stock prices. VII. Key Catalysts to Watch The Trillion-Dollar Milestone. Semiconductor sales reaching $298.5 billion in Q1 2026 make the full-year target of $975 billion to $1 trillion achievable. Whether the momentum can be maintained in the second half of the year, or whether a slowdown in AI spending will lead to a year-end weakness, is the core issue of greatest concern for the entire sector. TSMC's Arizona plant ramping up production. **The second Arizona factory will begin 3nm chip production by the end of 2026. Yield and output will determine the speed at which the US reduces its reliance on Taiwanese manufacturing; Apple's chip procurement agreement provides the first meaningful commercial validation.** **Nvidia Vera Rubin Platform Deployment.** The promise of a 10x reduction in inference costs is Nvidia's most important product milestone. Successful deployments by hyperscale cloud providers will significantly extend Nvidia's data center revenue growth curve; any latency or performance issues will be a major negative catalyst. **AMD Market Share Progress.** AMD's MI350 and MI400 products, expected to launch in 2026, will test whether its ROCm software improvements are sufficient to attract large-scale deployments by hyperscale cloud providers, rather than remaining at the current pilot project stage. **Memory Pricing and HBM4 Supply.** The integration of HBM4 with Nvidia's Rubin platform creates new demand pull. Tracking SK Hynix's HBM4 production yield and the progress of Samsung and Micron in HBM4 product certification will be key signals for judging the dynamics of memory pricing in 2027. Research Framework for this Sector:<ul><li>Investors seeking the highest confidence exposure to AI chips will focus on Nvidia, accepting the risks inherent in export control revenue constraints and current valuation levels</li><li>Investors seeking exposure to AI infrastructure while mitigating stock concentration risk will study SMH or SOXX, covering the entire supply chain</li><li>Investors who believe TSMC's geopolitical discount is too significant relative to its ongoing diversification efforts may find its lower valuation multiple relative to growth rate worth further investigation</li><li>Investors seeking exposure to the most defensive segment of the supply chain will focus on ASML, as every new wafer fab built anywhere in the world creates demand for it</li></ul></li></ul></div></div></div>

NVDU

<p>The semiconductor industry is experiencing unprecedented growth, driven by AI technology, with a projected market size of $975 billion by 2026. Key players include Nvidia and TSMC, with significant investments in AI infrastructure. The supply chain is evolving, emphasizing the roles of designers, foundries, equipment vendors, and memory manufacturers. Geopolitical factors are reshaping production locations, while strict export controls are prompting companies to innovate within compliance frameworks. The industry is now a critical component of global economic security.</p>

Semiconductor Century: An Investment Roadmap for the AI Boom in 2026