Core Viewpoint - Taiwan Semiconductor Manufacturing Company Limited (TSMC) is identified as a key investment opportunity in the AI sector, with expectations of significant revenue growth and profitability through 2026 [1][2]. Group 1: Revenue Growth Expectations - Morgan Stanley anticipates TSMC will guide for 2026 revenue growth in the mid-20% range, but projects actual growth closer to 30% year-over-year, surpassing the Street consensus of 22% [2]. - The higher growth forecast is attributed to strong demand for TSMC's AI and advanced-node products, which the analysts believe is underestimated by the market [2]. Group 2: Capital Expenditure and Valuation - The 30% revenue growth forecast is based on a projected capital expenditure of $49 billion for 2026 and ongoing expansion of 3-nanometer capacity [3]. - TSMC's stock remains attractive at a valuation of 16x or 13x the average EPS for 2026/2027, even after the price target increase [3]. Group 3: Company Overview - TSMC is recognized as the world's largest contract chipmaker, specializing in advanced semiconductors utilized in AI training and inference, including GPUs and custom accelerators [4].

Group 1 - NVIDIA Corporation (NASDAQ:NVDA) is highlighted as a must-buy AI stock, with Truist raising its price target from $255 to $275 while maintaining a Buy rating [1] - Truist's analysis indicates that AI infrastructure semiconductor stocks are currently undervalued relative to their growth potential, despite challenges in AI infrastructure and funding [3] - The firm anticipates increased upward pressure on estimates for AI semiconductor stocks compared to diversified analog semiconductors as they approach 2026 [3] Group 2 - NVIDIA recently launched the Nemotron 3 family of open models, which includes three variants: Nano (30 billion parameters), Super (100 billion parameters), and Ultra (500 billion parameters) [4] - The Nemotron 3 models utilize a hybrid mixture-of-experts architecture, combining Mamba and Transformer technologies, resulting in a 4x increase in throughput for the Nano model compared to its predecessor [5] - NVIDIA specializes in designing GPUs and data center solutions that are essential for training and running large-scale AI models, supported by its CUDA software platform [6]

The market’s focus this week will be on US economic news. On Friday, Dec nonfarm payrolls are expected to increase by +70,000, and the Dec unemployment rate is expected to slip by -0.1 to 4.5%. Also, Dec average hourly earnings are expected to be up by 0.3% m/m and 3.6% y/y. In addition, Oct housing starts are expected to increase by 1.8% m/m to 1.33 million, and Oct building permits are expected to rise by 1.5% m/m to 1.35 million. Finally, the University of Michigan's Jan consumer sentiment index is expec ...

Yerevan, Armenia, Jan. 08, 2026 (GLOBE NEWSWIRE) -- Eleveight AI is thrilled to announce the deployment of NVIDIA B300 Blackwell GPUs at its AI-focused data center in Armenia, marking a significant milestone in the country’s AI infrastructure development. The B300 GPUs will support AI training and inference workloads, including generative AI, enterprise applications, and research-driven computing. The deployment follows a phased approach focused on infrastructure readiness, power stability, and operational ...

Group 1: Samsung Electronics - Samsung Electronics reported a record operating profit of 20 trillion KRW (approximately 96.5 billion RMB) for Q4 2025, marking a significant year-on-year increase of 208%, exceeding market expectations [2][4] - The company's Q4 sales rose by 23% year-on-year to 93 trillion KRW, continuing a trend of quarterly sales surpassing 80 trillion KRW for two consecutive quarters [2] - The surge in performance is attributed to supply constraints and increased demand driven by AI, leading to higher prices for traditional memory chips, with DRAM prices rising over 30% and NAND flash prices increasing by about 20% [2][3] Group 2: Market Trends and Predictions - Analysts predict that the price of DDR5 memory will continue to rise, with a forecasted increase of 40% in Q1 2026 and an additional 20% in Q2 2026 [2] - The shift towards AI-related chip production is causing a squeeze on traditional memory chip capacity, while demand for both traditional and high-end chips is surging due to AI model training and operation [3] - Samsung's advancements in high-bandwidth memory (HBM) are exceeding market expectations, with anticipated HBM4 shipments expected to double in 2026 [3][4] Group 3: TSMC Developments - TSMC is experiencing high demand for its 3nm process technology, which remains in short supply, leading to a temporary halt in new 3nm project launches [5][6] - TSMC's 2nm process is projected to achieve a wafer production capacity 1.5 times that of the 3nm process, with expectations to capture over 95% of the global AI accelerator market [6] - The company plans aggressive production targets, aiming for a monthly wafer capacity of 140,000 for the 2nm process by the end of 2026, driven by strong demand from AI data centers [6] Group 4: Financial Outlook - Morgan Stanley forecasts a 30% year-on-year revenue growth for TSMC in 2026, with continued growth of over 20% in 2027, primarily fueled by AI data center demand [6] - The compound annual growth rate (CAGR) for AI revenue in data centers has been revised upward from 53% to 57%, with expectations that AI business will account for over 40% of TSMC's total revenue by 2029 [6]

Core Viewpoint - Nvidia is a key player in the AI space, highlighted during the Consumer Electronics Show (CES) in Las Vegas, which has drawn significant investor attention [1] Group 1: Nvidia's Market Position and Performance - Nvidia has the supply to meet strong demand for its H200 chips from China, indicating robust market conditions [2] - The company's market capitalization stands at $4.57 trillion, making it the largest in the world, which suggests limited upside potential but analysts remain optimistic about future share price appreciation [3] - Analysts from Bank of America express a positive outlook on AI-related semiconductor stocks, including Nvidia, despite anticipated market volatility [4] Group 2: Innovations and Future Outlook - Nvidia introduced Alpamayo, the world's first thinking model for autonomous driving, which enhances the capabilities of autonomous vehicles [3] - Analysts believe Nvidia is well-positioned to capture 70%-80% of the value created by the shift to parallel processing, thanks to its flexible ecosystem that offers a low cost of ownership as AI models evolve [5] - There is growing enthusiasm for Nvidia shares as 2026 progresses, which could benefit ETFs like QQQ and QQQM [5]

Hi, I'm Yiannis. Spotting winners before they break out is what I do best.Experience: Previously worked at Deloitte and KPMG in external/internal auditing and consulting. Education: Chartered Certified Accountant, Fellow Member of ACCA Global, with BSc and MSc degrees from U.K. business schools. Investment Style: Spotting high-potential winners before they break out, focusing on asymmetric opportunities (with at least upside potential of 3-5X outweighing the downside risk). By leveraging market inefficienci ...

Hi, I'm Yiannis. Spotting winners before they break out is what I do best.Experience: Previously worked at Deloitte and KPMG in external/internal auditing and consulting. Education: Chartered Certified Accountant, Fellow Member of ACCA Global, with BSc and MSc degrees from U.K. business schools. Investment Style: Spotting high-potential winners before they break out, focusing on asymmetric opportunities (with at least upside potential of 3-5X outweighing the downside risk). By leveraging market inefficienci ...

Parnassus Investments, an investment management company, released the “Parnassus Mid Cap Fund” third-quarter 2025 investor letter. A copy of the letter can be downloaded here. Following a robust second quarter in which markets rebounded from the sell-off, the Russell Mid Cap Index continued to rise, delivering impressive returns for the quarter. The Fund (Investor Shares) returned 5.49% (net of fees) in the quarter, compared to a 5.33% return for the Russell Midcap Index. In addition, please check the fund’ ...

Core Insights - Memory chip stocks are experiencing significant growth at the beginning of the year, driven by an AI-related RAM shortage that is expected to persist into the end of the year and possibly beyond [1] Industry Summary - The demand for memory chips is being fueled by advancements in artificial intelligence, leading to a shortage of RAM [1] - The ongoing shortage is anticipated to have a lasting impact on the memory chip market throughout the year [1]