#AI

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.

Microsoft is adjusting its security leadership. Charlie Bell is moving to an individual contributor engineering role, while Hayet Gallot, formerly of Google Cloud, returns to lead Microsoft’s security division. This change occurs as Microsoft faces investor scrutiny over growth, particularly in the generative AI era. Gallot’s appointment signals a strengthened focus on security, with Ales Holecek also shifting roles within the security team. These moves are part of broader efforts to capitalize on the AI boom.

Amazon is reportedly in talks for a significant partnership with OpenAI, potentially investing up to $50 billion. This collaboration could see OpenAI’s advanced AI models powering Amazon’s ecosystem, including Alexa and its shopping assistant Rufus. In return, OpenAI might leverage Amazon’s compute infrastructure and AI silicon. This move aligns with Amazon’s strategy to enhance its AI capabilities and compete with rivals, while OpenAI gains access to a major tech giant’s resources and customer base. The partnership could also extend to device integration, deepening the ties between the two companies in the evolving AI landscape.

Broadcom shares rose significantly on news of Alphabet’s massive AI infrastructure investment. Google plans to spend up to $185 billion this year, nearly doubling its previous outlay. This surge benefits Broadcom and other suppliers as tech giants race to build AI capabilities. Broadcom is also expanding its custom chip business, supplying specialized ASICs for AI workloads, indicating a growing role in the evolving AI hardware landscape.

Ciena is rejoining the S&P 500, reflecting significant growth driven by surging demand for networking infrastructure to support AI. The company’s market cap has nearly tripled as generative AI fuels the need for robust data center solutions. This inclusion, after a 17-year absence, highlights Ciena’s crucial role in the evolving digital economy and the broader tech supply chain’s AI-driven expansion.

Former Meta engineers have launched Slashwork, an AI-powered enterprise communication platform, after securing $3.5 million in seed funding. Backed by investors like Slack co-founder Cal Henderson and former Meta COO Sheryl Sandberg, Slashwork aims to revolutionize corporate collaboration. By integrating large language models into all content, it offers advanced search and AI agents to enhance information discovery and productivity. The startup targets tech-focused companies, planning a wider rollout later this year.