$Taiwan Semiconductor Manufacturing(TSM)$ I made an additional investment in TSM stock, driven by strong AI demand and TSMC’s potential 3nm expansion. Following NVIDIA CEO Jensen Huang’s visit, TSMC is reportedly considering increasing 3nm wafer production from 140–150k to 160–170k per month by 2026. This expansion, requiring an estimated $5–7 billion extra capex, highlights TSMC’s strategic response to robust NVIDIA demand. Beyond boosting TSMC’s growth outlook, it also positively impacts the global semiconductor equipment sector. With AI chip demand remaining exceptionally strong, TSMC’s move to alleviate front-end wafer bottlenecks positions the company for sustained leadership in advanced semiconductor manufacturing.
Overview Global markets traded lower as investors braced for a heavy week of macro catalysts, including U.S. nonfarm payrolls and Nvidia’s highly anticipated earnings. Risk sentiment weakened across major regions, with AI-related volatility, profit-taking, and cautious positioning driving broad declines. 🇺🇸 U.S. Markets: Tech Weighs, AI Sentiment Softens U.S. equities closed sharply lower, led by declines in mega-cap tech stocks. Concerns about stretched AI valuations, sector rotations, and shifting Fed expectations pressured markets. The Dow $DJIA(.DJI)$ fell 1.2% to 46,590, the S&P 500 $S&P 500(.SPX)$ slid 0.9% to 6,672, a
$Taiwan Semiconductor Manufacturing(TSM)$ I made an additional investment in TSM stock, driven by strong catalysts in the semiconductor sector. NVIDIA CEO Jensen Huang’s recent visit to TSMC signals robust demand, as TSMC considers expanding its 3nm wafer production beyond initial projections. Morgan Stanley estimates this could add 20,000 wafers per month, boosting output to 160,000–170,000 wafers by 2026. While this may raise TSMC’s capex to $48–50 billion, the expansion reflects surging AI chip demand and a shift in supply bottlenecks toward front-end wafer production. This positions TSMC for strong growth and supports the broader semiconductor ecosystem
$Tesla Motors(TSLA)$ I made an additional investment in Tesla stock, driven by the company’s ongoing advancements in autonomous driving technology. Tesla’s Full Self-Driving (FSD) system now surpasses human driving capabilities, leveraging over a century’s worth of fleet data. The system is continuously validated with billions of miles of real-world driving, encompassing diverse road types, lighting, weather, traffic, speeds, and geographical conditions. This massive dataset strengthens Tesla’s competitive edge in autonomous vehicles, positioning it for long-term growth as FSD adoption expands. I see this as a strategic opportunity to benefit from Tesla’s innovation leadership and AI-driven transportation future.
$Oracle(ORCL)$ I made an additional investment in Oracle (ORCL) to capitalize on its strategic positioning in the AI and cloud markets. The company is gaining momentum through high-profile collaborations with OpenAI and NVIDIA, alongside new supercomputing projects for the U.S. Department of Energy. These initiatives showcase Oracle’s commitment to expanding its AI infrastructure and cloud capabilities, signaling strong potential for long-term growth. With a clear strategy to leverage cutting-edge technology partnerships and government projects, Oracle is well-positioned to enhance its market share and deliver sustained value to investors in the rapidly evolving tech landscape.
$NVIDIA(NVDA)$ I made an additional investment in Nvidia stock, driven by its unique position in the AI boom. Unlike companies chasing AI adoption, Nvidia is already a clear leader, providing critical hardware rather than speculative services. With a robust revenue model, a double-A credit rating, and projected net income exceeding $70 billion this year, the company is financially rock-solid. CEO Jensen Huang’s guidance on Blackwell and upcoming Rubin chip sales signals strong, sustained demand. Nvidia’s insights into the AI market are invaluable, and its proven success gives confidence in both growth potential and long-term stability.
$Microsoft(MSFT)$ I made an additional investment in Microsoft (MSFT) to capitalize on its strong momentum and growth potential. The stock has surged 2.7% in the past week and is up 21.9% year-to-date, reflecting strong investor confidence. Recent developments, including expanding AI initiatives, ongoing cloud partnerships, and new product launches, have kept Microsoft in the spotlight. High-profile collaborations further support long-term growth prospects. While tech sector risks remain, I believe Microsoft’s innovation-driven strategy and robust market positioning make it a compelling addition to my portfolio.
$Alphabet(GOOG)$ I made an additional investment in GOOG stock as anticipation builds around Google's upcoming Gemini 3.0 release, which analysts say could strengthen the company’s AI leadership. Wall Street has notably warmed to Alphabet’s AI initiatives this year, transforming investor sentiment from skepticism to optimism. The stock’s attractive valuation also caught the attention of Warren Buffett, with Berkshire Hathaway’s recent Q3 purchase highlighting its potential as a value play. With a forward P/E of around 25x, Alphabet presents a compelling combination of growth through AI and long-term value, reinforcing my confidence in adding to this position
$Broadcom(AVGO)$ I’ve made an additional investment in Broadcom (AVGO) as the stock continues to demonstrate strong momentum. AVGO has surged 4.4% in the past week, 10.9% over the last month, and an impressive 59.3% year-to-date, with a remarkable 121% gain over the past year. Recent developments, including Broadcom’s growing role in the AI semiconductor space and strategic high-profile acquisitions, are fueling optimism for long-term growth. These factors are reshaping the company’s risk-reward profile and reinforcing investor confidence, making now an opportune moment to increase exposure to AVGO for potential sustained upside.
$Amazon.com(AMZN)$ I recently made an additional investment in Amazon.com (AMZN) as the company continues to strengthen its position in the AI-driven business solutions space. Amazon’s new AI-powered tools, including the Amazon Business Assistant, Savings Insights, and Spend Anomaly Monitoring, demonstrate a clear strategy to enhance efficiency, cost savings, and decision-making for organizations and small businesses. Collaborations with Deloitte on supply chain optimization and power utility management further expand Amazon’s B2B and industrial footprint. These initiatives highlight AMZN’s ability to innovate and capture growing demand for AI-enabled enterprise solutions, reinforcing long-term growth potential.