24/7 Wall St. Quick Read BAI holds $8B in assets with nearly 60% in information technology. NVIDIA and Broadcom alone represent 18% of the fund. Goldman Sachs projects AI infrastructure spending will exceed $500B in 2026, up from roughly $400B in 2025. The fund’s 56% turnover allows rotation across the AI stack but concentrates 40% in seven names. A recent study identified one single habit that doubled Americans’ retirement savings and moved retirement from dream, to reality. Read more here. T ...

Investor Michael Burry has doubled down on his claims regarding GPU depreciation at leading hyperscalers and AI companies, citing recent remarks by Microsoft Corp. (NASDAQ:MSFT) CEO Satya Nadella, who highlighted the complex economics of large-scale data center investments. Burry Regrets Not Being More Vocal In 2008On Monday, in a post on X, Burry, who rose to prominence for shorting the housing market ahead of the 2008 financial crisis, said that he regrets not warning others more effectively about the ris ...

Core Insights - Qualcomm has partnered with CP PLUS to integrate its Dragonwing processors into AI video security solutions, targeting the rising demand for edge AI and enhanced data security [1][8] Group 1: Market Trends and Projections - The AI video market size was $3.86 billion in 2024 and is projected to reach $42.29 billion by 2033, with a compound annual growth rate of 32.2% [2] - North America currently leads the AI video market, but emerging markets like India are rapidly catching up [2] Group 2: Technological Advancements - Qualcomm's edge AI capabilities enhance data security by minimizing exposure to external networks and reducing cybersecurity threats, which is crucial for industrial and public infrastructure [3] - The Qualcomm Insight Platform will provide on-site video intelligence with reduced latency and real-time alerts [3] Group 3: Competitive Landscape - Qualcomm faces aggressive competition in the smartphone market, with customers like Apple and Samsung moving towards in-house chip development [4] - Competitors like NVIDIA and Motorola are also making significant strides in AI video analytics and video intelligence solutions, respectively [5][6] Group 4: Financial Performance and Valuation - Qualcomm shares have increased by 14.1% over the past year, compared to the industry's growth of 54% [7] - The company's shares currently trade at a price/earnings ratio of 14.81, which is lower than the industry average of 41.02 [9]

Core Insights - The article discusses the latest insights from technology companies regarding AI developments and their implications for the industry and business landscape. Adobe - Adobe's management is focusing on the development of its Firefly models and expanding partnerships with other Generative AI models, with the new Firefly Image 5 model showing strong performance [2][3] - The consumption of Generative Credits, which measure usage and monetization of Adobe's models, increased 3x sequentially in Q3 2025, indicating high-value usage [3][12] - Firefly is attracting new creators, with a 2x sequential growth in first-time subscriptions in Q3 2025, and over 100 new deals for Firefly Services were signed by enterprises [5][12] - Adobe's management sees LLMs as a significant opportunity for customer acquisition, allowing for better integration of their models with APIs [6] - The introduction of Adobe Brand Concierge and Firefly Foundry aims to enhance customer engagement and content production efficiency [18][21] MongoDB - MongoDB's management believes that the AI wave has not yet significantly impacted its results, but there are encouraging signs from AI startups building applications on its platform [24][25] - The company sees a structural advantage in its document database model for AI applications, which require a different architecture than traditional databases [26][27] - MongoDB Atlas is supporting significant growth for companies like Mercor, which has seen a 50% month-over-month growth using MongoDB [28][29] - A global media company switched from Elastic Search to MongoDB Atlas, achieving a 90% reduction in latency and a 35% increase in click-through rates [30] NVIDIA - NVIDIA's management reports unprecedented demand for its Blackwell platform, with visibility to $0.5 trillion in revenue from 2025 to 2026 [36][40] - The company anticipates a $3 trillion to $4 trillion annual AI infrastructure build by 2030, driven by increasing compute spend from foundation model builders [37][41] - NVIDIA's GPUs, including older generations, are fully utilized, providing a significant total cost of ownership advantage [39] - The company has seen strong growth in its data center revenue, driven by the GB300 chip, which contributed to a record $51.2 billion in Q3 2025 [40] - NVIDIA's networking revenue has also seen substantial growth, with a 162% year-over-year increase, as major AI deployments now include its networking solutions [47][48]

Hive Digital Technologies Ltd. (NASDAQ:HIVE) is one of the best long-term penny stocks to invest in. Hive Digital Technologies Ltd. (NASDAQ:HIVE) announced its November 2025 Bitcoin production results on December 10, reporting 290 bitcoins produced in the month, a year-to-date high for the company and reflecting a 182% year-over-year growth from 103 bitcoins in the same period last year. This brings the average daily production to 9.7 bitcoin per day, with averaged hash rate of 23.5 exahash per second and ...

Core Insights - The company is focused on rapidly advancing its training technology to enhance cost, performance, and efficiency compared to previous generations and competitors like NVIDIA [1][4][6] - There is a strong demand for increased computational power, and the company aims to meet this demand by iterating on technology and expanding capabilities [4][5][10] Group 1: Technology and Performance - The company controls the entire stack, including silicon development and data centers, which allows for optimized performance in large clusters [2][7] - The training technology is designed to be cost-effective while delivering superior performance, making it an attractive option for customers [6][8] - The company plans to double its capacity to around 8 gigawatts by the end of 2027, having added 3.8 gigawatts in the past year [9][10] Group 2: Customer Engagement and Partnerships - The partnership with ANTHROPIC is strong, with collaborative efforts to build current generation models and ensure they run efficiently on the company's infrastructure [16][17] - The company is responsive to customer demand, which drives its capacity expansion and technology development [10][11] - There is a growing interest in the company's offerings, particularly in how they can support various use cases for training and inference [15][22] Group 3: Market Dynamics and Supply Chain - The rapid growth in the AI and model development industry is leading to supply constraints across various components, including chips and power [19][20] - The company acknowledges that while there are constraints, it has maintained strong partnerships to secure necessary resources [20][21] - The transition to AI co-workers and the adoption of generative technology is ongoing, with customers recognizing the need for change to realize efficiency gains [22][25]

Hand holds google phone with Google Gemini chatbot. Key Points Alphabet's latest Gemini model, Gemini 3, outperformed benchmarks and showcased Google’s TPU advantage. Alphabet has flipped its H1 sentiment to overwhelmingly bullish, boosted by accelerating growth, the release of Gemini 3, and Berkshire’s recent stake. Record earnings and expanding cloud profitability support Alphabet’s momentum heading into 2026. Interested in Alphabet Inc.? Here are five stocks we like better. Alphabet (NASDAQ: GOO ...

Core Insights - Alphabet Inc's shares have increased by 67% year-to-date, outperforming NVIDIA's 32% rise as of November 25, 2025 [1] - Berkshire Hathaway has taken a new position in Alphabet, making it the 10th largest equity holding in its portfolio as of the end of Q3 2025 [2] - Alphabet is part of the "Magnificent Seven" group, which includes major tech companies known for their AI initiatives, and has shown strong revenue and earnings growth [4] Financial Performance - Alphabet's stock has surged 18.3% in the past month, contrasting with NVIDIA's 4.7% decline [1] - Alphabet's forward price-to-earnings (P/E) ratio is 26.68X, lower than the tech sector's 30.75X and the S&P 500's 24.03X, indicating a cheaper valuation compared to peers like Microsoft, which trades at 32.31X [11] Strategic Moves - Alphabet is expanding into AI chip production, potentially competing with NVIDIA [6] - Meta Platforms is reportedly in discussions to utilize Google's AI chips, which could enhance Alphabet's market position [7][8] - Google has secured a deal to supply up to 1 million tensor processing units (TPUs) to Anthropic, suggesting growing interest in its AI chip technology [10] Market Position - Alphabet has a strong Growth score of "B" and a Momentum Score of "A," positioning it well within the top 13% of its sector and top 33% of its industry [12] - The stock has solid exposure to various exchange-traded funds (ETFs), making it an attractive option for investors following Berkshire's investment strategy [13]

Core Insights - Elon Musk predicts that artificial intelligence (AI) will advance to a point where traditional jobs, including technical roles like coding, may become obsolete [2][3] - Musk emphasizes that the most valuable skill in the future will be critical thinking rather than coding, as AI will handle execution tasks [4][7] - At the AI Safety Summit, Musk described AI as "the most disruptive force in history," capable of replacing both physical and cognitive labor rapidly [5] AI Advancements - AI systems are already capable of performing complex tasks such as writing production-grade code, designing hardware, planning logistics, generating legal drafts, and analyzing markets [6] - Tools from major companies like Microsoft, Google, and Meta demonstrate the significant progress in automation and AI capabilities [6] Future Skill Requirements - The future workforce will require skills in defining problems, imagining solutions, and understanding human context, rather than just technical execution [7] - Education systems have focused on teaching technical skills, but Musk argues that the future will favor those who can integrate creativity, strategic insight, and ethical reasoning with technical tools [7][8]

Core Insights - The Gemini leak indicates significant advancements in Google's AI capabilities, particularly in multi-modality, visual reasoning, and image generation, showcasing the effectiveness of their TPU technology [1][2][4] - Google's success with Waymo is attributed to their long-term investment in AI and the performance of their models, which have evolved from the launch of Bard to the Gemini 3 model [2] - The reliance on NVIDIA GPUs for training remains strong, with Google being one of NVIDIA's top three customers, indicating ongoing demand for high-performance computing resources [3][5] Company Implications - The success of the TPU may allow Google Cloud to optimize its NVIDIA allocation, potentially enhancing its cloud services for external customers [4] - Increased availability of NVIDIA GPUs could lead to a boost in cloud revenue for Google, as they can better serve their internal and external workloads [6][7] - The integration of advanced AI models into Google's ecosystem, including media applications, suggests a strategic focus on enhancing inferencing and recommendation systems [6]