#AI

Enterprise software stocks are showing signs of recovery, with Morgan Stanley suggesting attractive entry points for Microsoft and Salesforce. Despite investor concerns about AI’s potential to disrupt coding and boost productivity, leading to reduced software reliance, Morgan Stanley believes these tech giants are well-positioned. They argue that AI advancements validate software’s value and that companies have historically adapted pricing models. The firm sees Microsoft and Salesforce as strong franchises with compelling valuations, noting that AI’s impact on software development is part of a long-term trend, and the third-party software market has thrived despite open-source options.

Databricks secured $5 billion in funding at a $134 billion valuation, fueled by its AI boom. The company’s annualized revenue surpassed $5.4 billion, showing 65% year-over-year growth and achieving positive free cash flow. This strong financial performance and substantial AI-driven revenue position Databricks for a potential IPO, with CEO Ali Ghodsi suggesting readiness when the time is right. The funding round included major investors and debt financing, solidifying Databricks’ dominance in the data and AI market.

The cryptocurrency market has shifted from rapid, headline-driven moves to a more deliberate pace influenced by capital allocation, ETFs, and macroeconomics. AI helps decipher this by mapping ETF flows and derivatives against on-chain data, revealing capital rotation and selective investment, rather than predicting outcomes. For assets like XRP, AI prioritizes fund flows and market depth over sentiment. While AI excels at pattern recognition, it struggles with unpredictable regulatory developments and interpreting investor intent, underscoring the enduring importance of human judgment for nuanced market analysis.

The European Commission is considering “interim measures” against Meta to ensure third-party AI assistants can access WhatsApp. The Commission preliminarily found Meta’s updated terms, which banned these AI assistants, may violate EU antitrust rules. This action aims to prevent Meta from using its market power to harm competition in the rapidly evolving AI sector. Meta argues the WhatsApp Business API isn’t a critical distribution channel for AI chatbots, a stance the Commission is investigating.

Montage Technology’s Hong Kong IPO saw its shares soar 60% on debut, raising $902 million. This strong performance reflects growing investor enthusiasm for China’s AI and semiconductor industries, despite geopolitical headwinds. The IPO was heavily oversubscribed, with the public offering over 700 times over. This success follows other recent listings of Chinese chip firms, highlighting a robust appetite for innovation in the sector. Montage, already a significant player, is now poised to capitalize on the increasing global demand for advanced chips, particularly for AI and cloud computing.

Stellantis shares plunged over 25% following a projected $26 billion business overhaul impact. Meanwhile, stock futures rebounded. Market volatility persists, with AI spending concerns impacting equities and crypto. Amazon’s significant capital expenditure plans, especially for data centers, also drew investor caution. Amidst these, the Trump administration launched TrumpRx to lower drug prices, and Bob’s Discount Furniture debuted on NYSE. However, Peloton and Estée Lauder saw significant drops. The AI sector also saw competition heat up with OpenAI and Anthropic exchanging jabs during Super Bowl ad season.

Qualcomm shares dropped significantly as AI data center demand strains consumer chip supply. The company cited memory chip constraints, particularly DRAM, as a key issue impacting smartphone and wearable production. While handset demand remains strong, manufacturing capacity is shifting to high-bandwidth memory for AI. This imbalance benefits memory makers like Micron and Samsung, but poses challenges for device manufacturers and consumers. Qualcomm is confident in its future AI and data center prospects.

The market experienced a tech-driven slump, with major indices falling. Investors shifted to safer assets, though some consumer and healthcare stocks showed resilience, with Bristol Myers Squibb and Procter & Gamble posting gains. Enterprise software faced headwinds due to AI advancements. Boeing saw a significant rise on potential aircraft deals. Costco continued its strong performance, exceeding sales expectations. Investors await earnings from Amazon and Fortinet for insights into AI and cybersecurity trends.

Reddit’s stock climbed following a strong Q4 earnings report, beating revenue and profit expectations with $726 million and $1.24 EPS. The company projects solid Q1 2026 revenue and earnings, exceeding analyst forecasts. Reddit also announced a $1 billion share repurchase program. Growth in global daily active users was robust, though logged-in U.S. user growth showed a slowdown. The company plans to simplify user metric reporting and is exploring strategic data-licensing and AI integration to enhance user engagement and search capabilities.

The AI & Big Data Expo in London shows a shift from generative AI excitement to practical integration challenges. Day two focused on crucial infrastructure like data lineage, observability, and compliance. Data maturity is key, as flawed data leads to unreliable AI. Regulated industries face complex deployment needing accuracy, attribution, and audit trails. AI is also reshaping developer workflows, with copilots accelerating coding but demanding new validation skills. Low-code/no-code platforms are democratizing AI development. The most effective AI applications solve specific, high-friction problems, emphasizing the need for robust data governance and training for successful AI transitions.