in video uh CEO Jensen Wong making some new comments on China's progress in the AI race. CNBC uh caught up with Wong at a tech conference in Paris just a few days after Huawei's CEO was quoted by Chinese state media as brushing off the impact of US restrictions on exports uh to China's chip sector. Here's what Wong had to say.The important thing to remember is that AI tech AI is a parallel problem. If if uh each one of the computers are not as capable, just have more computers. And what he's saying is that ...

If the U.S. continues to impose AI semiconductor restrictions on China, then chipmaker Huawei will take advantage of its position in the world's second-largest economy, Nvidia CEO Jensen Huang told CNBC Thursday."Our technology is a generation ahead of theirs," Huang told CNBC at the sidelines of the Viva Technology conference in Paris.However, he warned that: "If the United States doesn't want to partake, participate in China, Huawei has got China covered, and Huawei has got everybody else covered."In the ...

Core Insights - The U.S. export restrictions on advanced semiconductors are pushing China to develop domestic alternatives, with Huawei being a key player in this effort [1][3][6] AI Chip Design - Nvidia is recognized as the leading AI chip designer, but it does not manufacture the chips itself; it relies on foundries for production [5] - Despite U.S. restrictions, demand for Nvidia chips remains high among Chinese customers, although Nvidia has faced challenges in selling its H20 processor to China [6][7] - Huawei's HiSilicon is making progress in GPU design, with its Ascend 910B and upcoming Ascend 910C chips showing significant advancements, though still behind Nvidia [9][10] AI Chip Fabrication - Nvidia's manufacturing is primarily done by TSMC, which is compliant with U.S. export controls, limiting Huawei's access to advanced chip production [11][12] - SMIC, China's largest foundry, is behind TSMC in technology, officially capable of producing 7-nanometer chips but suspected of working on a 5-nanometer chip for Huawei [13] - Huawei is reportedly working on its own fabrication capabilities, but lacks essential manufacturing equipment [14] Advanced Chip Equipment - Export controls from the Netherlands restrict SMIC's access to advanced lithography machines from ASML, which are crucial for producing advanced GPUs [15][16] - SMIC has attempted to circumvent these restrictions using less advanced lithography systems, but this approach has limitations [17] - Chinese companies like SiCarrier Technologies are exploring alternative lithography technologies, but achieving comparable capabilities may take years [18] AI Memory Components - High Bandwidth Memory (HBM) is essential for AI applications, with South Korean companies like SK Hynix leading the market [19][20] - Chinese firms such as ChangXin Memory Technologies are in the early stages of HBM production but face significant challenges, including export controls [21][22] - Huawei relies on foreign HBM supplies for its Ascend 910C processor, highlighting the ongoing dependence on international suppliers despite domestic advancements [24]

Investment Rating - Industry View: In-Line [7] Core Insights - The semiconductor industry is experiencing unprecedented demand driven by AI advancements and geopolitical tensions, particularly in the context of China's push for AI localization [4][8]. - The report highlights a decoupling between broader semiconductor cycles and AI growth, indicating that while overall semiconductor growth was slow at 10% year-over-year in 2024, AI-related demand continues to surge [10][13]. - Logic semiconductor foundry utilization is reported at 70-80% in the first half of 2025, suggesting that recovery is still ongoing [9]. Demand and Supply Dynamics - Significant demand is anticipated from AI, with NVIDIA experiencing booming demand and its Days of Inventory (DOI) reaching a historical low [15]. - The report forecasts that the top six companies' capital expenditures (capex) will grow by 62% year-over-year to RMB 373 billion [30]. - China's GPU self-sufficiency ratio was 34% in 2024, expected to rise to 82% by 2027, with local GPU revenue projected to reach RMB 287 billion by 2027 [32][35]. Market Trends and Projections - The total addressable market (TAM) for cloud AI semiconductors is projected to grow to USD 235 billion in 2025, with edge AI semiconductors expected to grow at a compound annual growth rate (CAGR) of 22% from 2023 to 2030 [49][60]. - Inference AI semiconductors are forecasted to grow at a CAGR of 55% from 2023 to 2030, outpacing training and general-purpose chips [60]. - The report anticipates robust cloud capex spending of nearly USD 789 billion across 2025-2026, driven by major cloud service providers [49]. Supply Chain and Capacity - TSMC is expected to expand its CoWoS capacity significantly, with projections of producing 5.1 million chips in 2025 [61][70]. - AI computing wafer consumption is estimated to reach up to USD 15 billion in 2025, with NVIDIA accounting for the majority of this consumption [73]. - The report indicates that the semiconductor supply chain is under pressure, with GPU supply and demand needing time to align [70].

One of the biggest perceived competitive advantages for Nvidia may backfire. Since 2022 came to a close, shares of Nvidia have advanced by more than 870%, with the company tacking on over $3 trillion in market cap and completing a historic 10-for-1 forward split. Though Nvidia's aggregate percentage return has lagged Palantir Technologies, Nvidia's valuation soared quicker than any megacap stock in history. The advent and proliferation of the internet in the mid-1990s was a can't-miss trend that captivated ...

Core Insights - The article discusses the challenges facing Nvidia, a leading player in the AI semiconductor market, despite its significant stock price increase and market cap growth [5][11]. Group 1: Nvidia's Market Position - Nvidia has become the largest publicly traded company due to its dominance in AI-GPU technology, particularly with its Hopper and Blackwell architectures, which are essential for AI data centers [6][7]. - The company has seen a dramatic increase in market cap, exceeding $3 trillion, driven by high demand for its AI-GPUs, with prices for Hopper chips reaching over $40,000, significantly higher than competitors [9][10]. Group 2: Insider Activity - There has been a notable absence of insider buying at Nvidia for over four years, with the last purchase occurring in December 2020, while insiders have sold more than $3.35 billion worth of stock during this period [12][14][16]. - The lack of insider purchases raises concerns about the future performance of Nvidia's stock, as insiders typically buy shares when they expect the stock to rise [16]. Group 3: Competitive and Regulatory Challenges - Nvidia faces increasing competition from companies like AMD and Huawei, which may impact its gross margins and future demand as customers develop their own AI-GPUs [18][20]. - Regulatory restrictions on exporting high-powered chips to China have also affected Nvidia's sales, as this market has historically generated significant revenue for the company [22]. Group 4: Market Trends and Risks - Historical trends suggest that major technological innovations often experience bubble bursts, indicating that the current AI boom may not be sustainable [23][24]. - Many businesses are still in the early stages of optimizing their AI solutions, which could lead to a decline in investment returns and signal a potential market correction for AI-related stocks [24].

Investment Rating - The semiconductor production equipment industry is rated as Attractive [5][70]. Core Insights - The imminent launch of DeepSeek R2, which features 1.2 trillion parameters and significant cost efficiencies, is expected to positively impact the Japanese semiconductor production equipment (SPE) industry [3][7][11]. - The R2 model's capabilities include enhanced multilingual support, broader reinforcement learning, multi-modal functionalities, and improved inference-time scaling, which could democratize access to high-performance AI models [7][9][11]. - The development of efficient AI models like R2 is anticipated to increase demand for AI-related SPE, benefiting companies such as DISCO and Advantest [11]. Summary by Sections DeepSeek R2 Launch - DeepSeek's R2 model is reported to have 1.2 trillion parameters, a significant increase from R1's 671 billion parameters, and utilizes a hybrid Mixture-of-Experts architecture [3][7]. - The R2 model offers cost efficiencies with input costs at $0.07 per million tokens and output costs at $0.27 per million tokens, compared to R1's $0.15-0.16 and $2.19 respectively [3][7]. Industry Implications - The launch of R2 is expected to broaden the use of generative AI, leading to increased demand for AI-related SPE across the supply chain, including devices like dicers, grinders, and testers [11]. - The report reiterates an Overweight rating on DISCO and Advantest, which are positioned to benefit from the anticipated increase in demand for AI-related devices [11]. Company Ratings - DISCO (6146.T) is rated Overweight with a target P/E of 25.1x [12]. - Advantest (6857.T) is also rated Overweight, with a target P/E of 14.0x [15].

Investment Rating - The semiconductor production equipment industry is rated as Attractive [5] Core Insights - The imminent launch of DeepSeek R2, which features 1.2 trillion parameters and significant cost efficiencies, is expected to positively impact the Japanese semiconductor production equipment (SPE) industry [3][7] - The development of lightweight, high-performing AI models like DeepSeek R2 is anticipated to democratize access to generative AI, thereby expanding the market for AI-related SPE [11] Summary by Sections DeepSeek R2 Characteristics - DeepSeek R2 is reported to have 1.2 trillion parameters, with 78 billion active parameters and utilizes a hybrid Mixture-of-Experts architecture [3] - The input cost for R2 is $0.07 per million tokens, significantly lower than R1's $0.15-0.16, while the output cost is $0.27 compared to R1's $2.19 [3][7] - Enhanced multilingual capabilities and broader reinforcement learning are key upgrades in R2, allowing it to handle various data types including text, image, voice, and video [9][11] Market Implications - The anticipated launch of R2 is expected to boost demand for AI-related devices, including GPU and HBM, as well as custom chips and other AI devices [11] - The report reiterates an Overweight rating on DISCO and Advantest, which are expected to benefit from increased demand for AI-related devices [7][11] Company Ratings - Advantest (6857.T) is rated Overweight with a target price of ¥10,300 based on expected earnings peak [16] - DISCO (6146.T) is also rated Overweight with a target P/E of 25.1x based on earnings estimates [13]

Apple Inc AAPL may still be iconic, but its stock is no longer invincible. Since peaking against the Magnificent 7 in late 2022, Apple's relative performance has plunged over 45%, a jaw-dropping fall that underlines how far the tech giant has lagged behind its Big Tech peers.Chart created using TradingViewA price ratio chart comparing Apple to the aggregate Mag 7 soared to 0.17 in November 2022. Fast forward to June 2025, and that figure has collapsed to 0.09. While the broader Mag 7 group has powered ahead ...

Core Insights - Apple iPhone 16 became the best-selling smartphone globally in Q1 2025, marking a return to the top spot for the base model after two years [6][7] - Apple maintained a strong presence in the Top 10 list, occupying five positions for the fifth consecutive March quarter, while Samsung saw a decrease in models listed compared to the previous year [2][6] - The low-end smartphone segment (priced under $100) showed significant growth, accounting for nearly 20% of global smartphone sales in Q1 2025 [6][8] Group 1 - iPhone 16 performed exceptionally well in Japan and the Middle East and Africa, with Japan showing the highest growth rate for the base model due to improved economic conditions and subsidy policy adjustments [5][6] - iPhone 16 Pro Max and iPhone 16 Pro ranked second and third respectively, although the Pro series faced challenges in the Chinese market due to government subsidies favoring models priced below 6,000 yuan (approximately $833) and intense competition from Huawei [5][6] - iPhone 16e debuted strongly, ranking sixth in the global Top 10 list in its first month of sales, with expectations to surpass the previous SE model's first-year sales due to significant technological upgrades [7][8] Group 2 - Samsung Galaxy S25 Ultra ranked seventh in Q1 2025, down from fifth place in Q1 2024, attributed to a shorter sales window [6][7] - Galaxy A16 5G rose to fifth place, achieving a 17% year-over-year growth, primarily due to expanded distribution in North America, which became its largest market [7][8] - Galaxy A06 saw significant growth, moving up four positions compared to its predecessor, reflecting a general increase in demand for low-end smartphones, particularly in emerging markets [8]