LOOK WHAT'S HAPPENING ON WALL STREET NOW, THE DOW HIT 50 ,000, YOU SEE IT RIGHT THERE FOR THE FIRST TIME EVER, WE'RE LIKELY GOING TO SET A NEW RECORD WHEN markets close in just about 30 minutes if it stays over 50. But this good news on Wall Street followed a sell-off this week with big techs losing a trillion dollars in market value through yesterday. And it's paired with bleak new labor supermarket data.108 ,000 jobs were cut last month, double the number of layoffs we saw at the start of last year. We ha ...

Core Viewpoint - Bitfarms is transitioning from Bitcoin mining to AI infrastructure, rebranding as Keel Infrastructure to focus on high-performance computing (HPC) and AI data centers in North America [1][2]. Company Transition - The company announced its intention to abandon Bitcoin mining in November, aiming to improve net operating incomes by shifting to AI infrastructure [1]. - CEO Ben Gagnon emphasized that the new name reflects the company's infrastructure-first approach and its commitment to building future computing infrastructure [2]. - A shareholder vote is scheduled for March 20 to approve the transition, which is part of a strategic review by the board over the past year [3]. Market Reaction - Following the announcement, shares of Bitfarms (BITF) increased by 27%, trading around $2.17, amid a broader recovery in crypto equities [2]. - The company plans to complete its U.S. redomiciliation by April 1 and will trade on Nasdaq under the ticker KEEL [2]. Industry Context - Other publicly traded Bitcoin miners, such as Riot Platforms and MARA Holdings, are also shifting towards AI, indicating a broader trend in the industry [4]. - The move to AI may provide a more stable revenue stream for miners facing uncertainty due to fluctuating Bitcoin prices, which recently dropped significantly [4][5].

The S&P 500 was up 1.7pc and the Dow Jones Industrial Average hit a new high of 49,938 points after climbing 2pc.However, stocks then started to rebound as investors bought the dip, with the tech-heavy Nasdaq Composite rising 2pc.More than £18bn was wiped off London-listed software and data giants over the past week as concerns rose about artificial intelligence disrupting the industry.Thanks for joining us. That’s al we have for today.Andy Jassy, the company’s chief executive, said the tech giant’s capital ...

[music] Good Friday morning. Welcome to Opening Bid. I'm Yahoo Finance executive editor Brian Sazi.If I had to sum up this wild week in markets, it would be with something like this. [music] Moments. This has been uh the week where moments have reset the investing backdrop for so many different asset classes.Anthropic's latest model update is one of these moments. This one moment has, and I'm just going to say it here, sent software stocks into a full-fledged crash. AI will destroy all software companies wi ...

AI is about to organize your digital life!@thejefflutz talks about how Google Gemini and Apple’s future AI could manage and organize our online data in the cloud.Using AI to pull together info from iOS and Android could make life much easier, and testing these tools early may show just how powerful they can be! ...

This winter, Team USA athletes are heading to Italy. But there’s more to the story than just the score. For all the questions the Winter Olympics inspire, search with AI Mode. The use of Olympic Marks, Terminology and Imagery is authorized by the U.S. Olympic & Paralympic Committee and LA28 pursuant to Title 36 U.S. Code Section 220506 Subscribe to our Channel: https://www.youtube.com/google Find us on X: https://twitter.com/google Watch us on TikTok: https://tiktok.com/@google Follow us on Instagram: https ...

Investment Rating - The report suggests a focus on companies such as SanDisk (SNDK.O), SK Hynix (000660.KS), Samsung Electronics (005930.KS), and Micron Technology (MU.O) due to their potential in the AI-driven storage market [4]. Core Insights - The industry is transitioning from traditional cycles to AI-driven technological premiums and high growth, with storage becoming a critical bottleneck for AI computing efficiency [5]. - AI is driving exponential growth in storage demand, with significant increases in requirements for high-bandwidth memory (HBM) and solid-state drives (SSD) due to the scaling laws of model parameters [5]. - The valuation framework is being reshaped, with revenue growth and net profit margin expansion occurring simultaneously, indicating a period of high operational leverage in the storage sector [5]. Summary by Sections AI Value Chain - The AI value chain includes components such as computing chips (GPUs, CPUs, ASICs), storage (DRAM, SSD, HDD), networking, and energy solutions, highlighting the interconnectedness of these sectors [10][12]. - The storage segment is characterized by oligopolistic features, with high barriers to entry supporting high profitability [12]. Storage Demand and Hardware Architecture - Storage demand is categorized into cold, warm, and hot data, with different storage solutions (HDD, SSD, DRAM) tailored to each category's speed and capacity requirements [20]. - The architecture is structured in layers, with HBM for high-speed access, SSD for intermediate storage, and HDD for large capacity [29]. Large Language Model Storage Requirements - The report details the storage needs of large language models, emphasizing the importance of storage capacity and bandwidth in both training and inference phases [42][47]. - The growth in model parameters necessitates increased storage capacity, with significant implications for the demand for NAND and DRAM technologies [59]. Company-Specific Insights - Micron Technology (MU.O) is focusing on data centers and has made significant advancements in HBM3E technology, with a strong market demand for its products [64][70]. - SanDisk (SNDK.O) has undergone a restructuring, achieving notable revenue growth and improving profit margins through a focus on high-value enterprise SSDs [72][78]. - SK Hynix is benefiting from its early entry into the AI storage market, while Samsung is striving to catch up [79][81].

Core Insights - Anthropic has launched its Opus 4.6 model, claiming it to be the most capable model for enterprise and knowledge work [1] - The release of Opus 4.6 follows the introduction of enterprise-focused plugins for Claude Cowork, aimed at enhancing productivity across various sectors [1] - The announcement coincides with OpenAI's launch of its Frontier platform, intensifying competition in the AI space [3] Company Developments - Anthropic's Opus 4.6 is described as a frontier model that excels in knowledge work, outperforming competitors like OpenAI's GPT-5.2 and Google's Gemini 3 Pro [6] - The model is designed to produce high-quality results on the first attempt, reducing the need for iterative changes in documents and presentations [7] - Opus 4.6 can complete development projects in hours, significantly faster than traditional methods [8] Market Impact - The news of Anthropic's advancements has negatively affected shares of software companies, with Salesforce and SAP experiencing declines of 25% and 18% respectively since the start of the year [3] - Other companies like Intuit and Thomson Reuters have seen stock prices drop by 32% and 30% respectively, reflecting market concerns over AI's potential to disrupt traditional software services [3][2] - Anthropic's focus on enterprise work and coding positions it as a strong competitor against OpenAI, potentially reshaping the software landscape [5]

Welcome to Morning Brief. I'm Julie Hyman. Let's get to the three things you need to know today.First up, Alphabet. Those shares are falling this morning after the Google parent announced massive spending plans. The company planning to dish out $185 billion to build out its AI infrastructure this year.2026 spending totals more than the last three years of spending combined, and investors will now look to Amazon results after the bell for its plans on AI expenditures. Plus, Bitcoin falling below $70,000 per ...

Core Insights - Alphabet is targeting capital expenditure of $175 billion to $185 billion for the year, significantly higher than analysts' expectations of approximately $115.26 billion [1][1][1] - Shares of Alphabet fell over 6% in extended trading following the announcement [1][1][1] - Google Cloud's revenue grew by 48% to $17.7 billion in the fourth quarter, surpassing analysts' average estimate of a 35.2% increase [1][1][1] Capital Expenditure and AI Investment - The company is aggressively ramping up spending to enhance its position in the AI race, alongside major competitors like Amazon Web Services and Microsoft Azure [1][1][1] - Collectively, major cloud companies, including Meta, are expected to invest over $500 billion in AI this year [1][1][1] - Meta has increased its capital investment for AI development by 73%, targeting between $115 billion and $135 billion [1][1][1] Cloud Computing and Capacity Constraints - Google Cloud is facing capacity constraints that have limited its ability to fully capitalize on the growing demand for AI from customers [1][1][1] - The cloud computing sector is experiencing a surge in demand for AI infrastructure, prompting significant investments from major players [1][1][1]