Group 1: Technology Sector Performance - The technology sector showed signs of recovery, with a 1.5% increase, but remains down 2% over the last 10 days, indicating volatility in the market [1][2][3] - The semiconductor sector performed relatively well, with notable gains: Intel up 18%, ARM up 8%, and Western Digital up 18%, while AMD and Qualcomm saw declines of 14% and 10% respectively [2] - Software stocks faced significant losses, with major players like Microsoft down 12%, SAP and Oracle down 14%, and Atlassian down 34%, suggesting ongoing challenges in this segment [3][14] Group 2: Economic Indicators and Market Reactions - The dollar index showed a decline of 0.8%, indicating potential implications for commodities and stocks, with concerns about interest rates and fiscal sustainability [5][6][8] - Upcoming economic reports, including job market data and consumer inflation, are expected to create volatility, with a medium forecast of 70,000 job creations but a wide range of estimates from -10,000 to 135,000 [29][30] - The Federal Reserve is anticipated to maintain a cautious approach, with expectations of rate cuts later in the year, which could support equity markets [102][104] Group 3: Investment Opportunities in Women's Sports - Ariel Investments Project Level successfully completed a funding round of $250 million, emphasizing the growing commercial viability of women's sports [77] - The investment strategy focuses on building a sustainable ecosystem around women's sports, including teams and related businesses, to enhance profitability and player salaries [86][90] - The ongoing negotiations in women's sports leagues, such as the WNBA, reflect the increasing economic potential and recognition of player value, indicating a shift in the market dynamics [93][95] Group 4: Market Volatility and Technical Analysis - The S&P 500 bounced off the 100-day moving average, indicating a potential recovery, with a focus on breaking the 7,000-point milestone [98][100] - The tech sector's performance is crucial for the S&P's movement, as it has not reached new highs since October, largely due to weakness in software stocks [104][106] - Increased single stock volatility has led to a greater reliance on technical analysis, as price movements deviate from fundamentals, creating opportunities for traders [107][109]

Dear Jabbosa joins us now with Data Brick CEO Ali Godsy in today's tech check. Deerra, >> thank you Kelly and hi Ali, it's nice to see you. Um, now the number that jumped out to me in this release this morning, it wasn't just the funding.It was actually this 80% number of databases on your platform. They're now built by AI agents. So what does that tell us about what's actually happening inside of your customers workflows right now.Yeah, I think actually one thing that people don't look at is uh when we're ...

You have this innovation bazooka with these models. Why would you point it at rebuilding payroll or ERP or CRM. The general story that we're going to vibe code everything is flat wrong and the whole market is oversold software.>> I'm so excited to welcome Anish Akaya GP at Andre where he leads consumer and fintech investing at series 8. Now an interesting topic that's not discussed is the cost of transitioning from one SAS provider to another going dramatically down. So systems integration.I don't think we' ...

Core Viewpoint - The article discusses the intensifying competition in the AI sector, particularly focusing on Alibaba's AI initiative "Qianwen" and its unique approach to integrating AI into everyday decision-making and service delivery [2][3][6]. Group 1: AI Competition Landscape - The AI battle has heated up ahead of the Spring Festival, with Alibaba's "Qianwen" launching a promotional event offering significant discounts to engage users [2][3]. - Major players like ByteDance, Tencent, and Baidu are competing for user attention, continuing the trend from the mobile internet era by enhancing content quality and user interaction [7][8]. - Unlike its competitors, Qianwen aims to shift the focus from user engagement time to whether users are willing to delegate real-life decisions to AI [8][9]. Group 2: Qianwen's Unique Strategy - Qianwen's approach involves using "free orders" instead of traditional cash red envelopes, embedding itself into real consumer decision-making processes [8][9]. - The promotional event is not just a marketing tactic but a test of AI's service delivery capabilities, requiring users to articulate their needs and for the system to execute orders effectively [9][10]. - The success of this initiative hinges on the AI's ability to integrate with complex business systems, demonstrating a deep understanding of user intent and operational rules [10][12]. Group 3: Technical and Operational Challenges - The integration of AI into real-world applications requires robust backend systems capable of handling high concurrency and complex transactions [12][14]. - The event's success is measured by the AI's ability to process millions of orders, indicating its readiness to operate in real-world scenarios [14][18]. - The article emphasizes that the true challenge lies in the seamless collaboration between AI models and existing business infrastructures, which is a significant barrier for many companies [21]. Group 4: Comparative Analysis of AI Approaches - The article contrasts the U.S. and Chinese approaches to AI, noting that U.S. firms focus on enhancing productivity in office settings, while Chinese firms prioritize integrating AI into daily life [22][24]. - The Chinese market benefits from a large user base and a mature mobile payment system, providing a fertile ground for AI applications [24][26]. - Qianwen's strategy reflects a pragmatic approach, focusing on high-frequency scenarios to validate AI capabilities and drive technology evolution [26][27].

Core Viewpoint - A portion of institutional funds is beginning to enter the market for "bottom-fishing" in software stocks that have recently experienced significant declines, agreeing with Jensen Huang's positive outlook on software stocks, suggesting that the market has misjudged strong software giants focused on "AI + core operational processes" [1][4] Group 1: Market Dynamics - The narrative of a "Software-mageddon" is gaining traction, with significant sell-offs in the software sector following the launch of new AI tools by Anthropic, leading to a notable drop in the S&P 500 Software & Services Index, which has fallen approximately 30% since its recent peak at the end of October [3][9] - The software sector faced its most severe sell-off since 2022, with the S&P 500 Software & Services Index experiencing a decline of over 5% in a single day, extending its losing streak to eight consecutive trading days [3][9] - Concerns about AI's impact on traditional SaaS business models have intensified, particularly following the introduction of Anthropic's AI tools, which are designed to handle complex workflows traditionally managed by SaaS providers [7][8] Group 2: Institutional Perspectives - Some institutional investors are starting to view the recent sell-off as an opportunity, believing that high-quality software companies embracing AI may soon experience a technical rebound [4][10] - Analysts from major financial institutions, including Goldman Sachs and Wedbush Securities, suggest that the selling pressure may have peaked, indicating potential for a market bottom and a return of institutional capital to the software sector [16][18] - Rick Sherlund, a prominent analyst, emphasizes that the software industry undergoes significant transformations every 10 to 15 years, and the current AI-driven changes may lead to a new bull market rather than a decline [20] Group 3: Long-term Outlook - Despite fears that AI could completely replace enterprise software, many analysts believe that AI will instead reshape the profitability trajectories of software companies, with a focus on enhancing existing platforms rather than replacing them [12][14] - The market's panic over AI's potential to disrupt software is viewed as exaggerated, with many analysts asserting that established companies with robust platforms, like SAP, will likely benefit from AI advancements [5][19] - The ongoing transition from consumer-facing AI applications to enterprise applications is expected to drive explosive growth in demand for reasoning and computational capabilities [20]

Core Viewpoint - The recent narrative of "Software-mageddon" has led to a significant sell-off in the software sector, particularly affecting SaaS stocks, following the launch of new AI tools by Anthropic, which are perceived as threats to traditional software business models [1][4][5]. Group 1: Market Reaction - The S&P 500 Software & Services Index has experienced a decline of approximately 30% since its recent peak at the end of October, marking the most severe sell-off since 2022 [1][6]. - Major software companies, including Thomson Reuters and Salesforce, have seen their stock prices drop significantly, with some experiencing declines of up to 10% in a single day [5][6]. - The sell-off has been exacerbated by disappointing earnings guidance from major companies, including Microsoft, and heightened expectations for AI infrastructure spending [5][6]. Group 2: Institutional Response - Some institutional investors are beginning to enter the market to buy undervalued software stocks, believing that the market has overreacted to the AI threat [2][12]. - Analysts express a divided view on the long-term impact of AI on software companies, with some believing that AI will reshape profit trajectories rather than eliminate the need for existing software [9][14]. Group 3: Expert Opinions - Rick Sherlund, a prominent analyst, argues that the software industry undergoes significant transformations every 10 to 15 years, and companies with strong fundamentals, like SAP, will likely benefit from AI rather than be threatened by it [3][16]. - Nvidia's CEO Jensen Huang emphasizes that the notion of AI completely replacing software is illogical, suggesting that AI will enhance existing software rather than replace it [7][8]. - The current market panic is described as "micro-hysteria," with experts suggesting that the fears surrounding AI's impact on software are exaggerated [8][12]. Group 4: Future Outlook - The software sector is expected to experience a technical rebound as investors reassess the long-term value of companies that integrate AI into their operations [2][11]. - High-quality software companies that embrace AI are likely to emerge stronger from the current turmoil, as the market begins to differentiate between those with robust business models and those that are more vulnerable [11][15].

Core Viewpoint - The recent narrative of "Software-mageddon" has led to a significant sell-off in the software sector, particularly affecting SaaS stocks, following the launch of new AI tools by Anthropic, which are perceived as threats to traditional software business models [1][4][5]. Group 1: Market Reaction - The S&P 500 Software & Services Index has experienced a decline of approximately 30% since its recent peak at the end of October, marking the most severe sell-off since 2022 [1][6]. - Major software companies, including Thomson Reuters and Salesforce, have seen significant stock price drops, with some experiencing declines of up to 10% in a single day [5][6]. - The sell-off has been exacerbated by disappointing earnings guidance from major companies, including Microsoft, and heightened expectations for AI infrastructure spending [5][6]. Group 2: Institutional Response - Some institutional investors are beginning to enter the market to buy undervalued software stocks, believing that the market has overreacted to the AI threat [2][12]. - Analysts from firms like Goldman Sachs and Wedbush Securities suggest that the sell-off reflects an exaggerated "Armageddon scenario" and that companies will not abandon their existing software investments for new AI solutions [12][14]. Group 3: Expert Opinions - Rick Sherlund, a prominent technology analyst, argues that the software industry undergoes significant transformations every 10 to 15 years, and companies with strong fundamentals, like SAP, will likely benefit from AI rather than be replaced by it [3][16]. - Nvidia's CEO, Jensen Huang, emphasizes that AI will enhance existing software infrastructure rather than replace it entirely, countering the prevailing panic in the market [7][8]. Group 4: Long-term Outlook - Analysts believe that while AI may disrupt certain aspects of the software industry, it will also create new growth narratives, particularly for companies that can integrate AI into their existing platforms [9][10]. - The market is expected to see a bifurcation, where companies with strong data assets and integration capabilities, such as Microsoft and SAP, are likely to rebound more strongly than those with weaker competitive positions [11][15].

Core Insights - N4XT Experiences has announced a multi-season partnership with SAP to enhance the digital and experiential infrastructure for New York Fashion Week and its NYFW Collections, focusing on integrating technology and AI to provide value to designers [1][3][4] Company Overview - N4XT Experiences operates large-scale fashion intellectual property, including NYFW Collections and LA Fashion Week, acting as a connector among designers, venues, and the broader fashion industry [2] - The company emphasizes a designer-first approach, providing necessary venues, infrastructure, and operational support to allow designers to focus on their craft [2] Partnership Details - SAP will serve as the official technology and co-innovation partner for N4XT, collaborating to implement technology that enhances engagement among designers, editors, buyers, and attendees during fashion week [3][5] - The partnership aims to build sustainable infrastructure and solutions for the fashion industry, focusing on removing operational barriers while leveraging SAP's advanced technology [4][5] Digital Platform Development - N4XT and SAP are developing a digital platform called .FW to connect designers, partners, and audiences, supporting designer discovery, audience engagement, and commerce over time [7] - Planned features include curated access to designers, tools for Fashion Week navigation, and connections between physical retail and digital experiences [8] Retail Innovation Lab - N4XT will launch the Retail Innovation Lab in collaboration with Public School, showcasing SAP's AI-enabled technology solutions for retail [10] - The lab will support the relaunch of Public School and introduce a new approach to retail during New York Fashion Week, accessible to the public for a limited time [11][12]

Core Insights - Saputo Inc. reported strong financial results for Q3 of fiscal 2026, highlighting robust cash generation and margin expansion driven by operational efficiencies and strong demand for high-protein dairy products [2][3]. Financial Performance - Revenues for Q3 2026 were $4.888 billion, a decrease of $106 million or 2.1% compared to Q3 2025, primarily due to lower US dairy commodity market pricing [3][9]. - Adjusted EBITDA increased by 18.0% to $492 million, with an adjusted EBITDA margin of 10.1%, up from 8.4% [3][9]. - Net earnings reached $220 million, a significant increase from a loss of $518 million in the same quarter last year, with earnings per share (EPS) of $0.54 (basic) and $0.53 (diluted) [9][3]. Sector Performance Canada Sector - Revenues for Q3 2026 were $1.416 billion, up $57 million or 4.2% from Q3 2025, driven by higher sales volumes in retail, foodservice, and industrial segments [22][23]. - Adjusted EBITDA for Q3 2026 was $189 million, an increase of 8.0% from $175 million in Q3 2025, with an adjusted EBITDA margin of 13.3% [26][27]. USA Sector - Revenues for Q3 2026 totaled $2.142 billion, down $163 million or 7.1% compared to Q3 2025, impacted by lower US dairy commodity market pricing [32][33]. - Adjusted EBITDA increased by 15.6% to $185 million, with an adjusted EBITDA margin of 8.6%, up from 6.9% [36][37]. International and Europe Sectors - International Sector revenues for Q3 2026 were $994 million, down 2.5% from $1.019 billion in Q3 2025, while adjusted EBITDA rose by 60.8% to $82 million [47][53]. - Europe Sector revenues increased by 8.0% to $336 million, with adjusted EBITDA up 16.1% to $36 million [63][68]. Strategic Initiatives - The company is focused on optimizing its product mix and enhancing operational efficiencies through strategic investments in automation and cost-effective production capabilities [3][38]. - Continued investments in advertising and promotional activities are expected to support commercial growth across all sectors [3][41]. Future Outlook - The company anticipates organic sales growth, particularly in the USA Sector, supported by sustained growth in key retail categories and ongoing innovation [80]. - The International Sector is expected to benefit from improved economic conditions in Argentina and cost reductions in Australia, while the Europe Sector is projected to deliver improved performance through margin recovery and disciplined pricing [80].

Group 1: Market Impact - Billions have been wiped off "shadow banks" due to fears that AI will trigger loan defaults at software companies, with major US lenders losing over $2 billion in value this week [1] - The S&P Business Development Companies index, tracking 44 private credit funds, has lost about $2.2 billion in value since Monday amid fears of a software sector meltdown [5] - Shares of Hercules Capital, managing $5.5 billion, plunged 8.4% during this period, indicating significant market distress [5] Group 2: Company-Specific Developments - Blue Owl Capital, a major player in the private credit sector, saw its share price decline by 6.9%, while its tech-focused fund, Blue Owl Technology Finance, fell by 6.6% [6] - Software stocks have been particularly affected after Anthropic, a $350 billion AI lab, introduced a new legal and accounting tool that threatens existing software services [2] Group 3: Industry Concerns - The shadow banking sector is increasingly viewed as vulnerable, especially following the collapse of two major US companies last year, raising concerns over lax lending standards [7] - UBS predicts that AI disruption could lead to loan defaults rising to 13% in private credit, with 25% to 33% of the private credit universe exposed to AI-related disruptions [7][8] - The introduction of Anthropic's new AI tool, which can perform tasks with minimal prompts, raises alarms about the future of traditional software services [8]