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A twin catalyst of election outcomes and sharply lower crude oil prices drove a powerful postelection stock market surge on Wednesday, lifting equities across a wide range of sectors. The Dow Jones Industrial...

The midterm AI backlash just handed the biggest data center companies a surprising...

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With the 2026 election in the books, early signs Wednesday point to a positive day for investors, with the three major market indexes pushing higher. The price-weighted Dow Jones Industrial Average is up 3%...

Microsoft's stock has seen minimal movement over the past year, despite a significant surge in its earnings, creating a disconnect that the author argues investors are misinterpreting. The company's robust growth in Azure, a massive commercial backlog, and increasing Copilot users indicate a strong position in the AI market. This article posits that Microsoft's disciplined financial management, unlike competitors, and ongoing investment in AI infrastructure will lead to an explosive payoff, with the current flat stock performance viewed as a pause before significant gains.

This article discusses how AI, particularly generative and agentic AI, is transforming learning management systems (LMS) by making content creation and knowledge sharing easier for employees. Instructure's chief architect, Zach Pendleton, explains in a podcast how AI helps organizations move beyond compliance-focused training to skills development, enabling more immersive and just-in-time learning. Agentic AI also democratizes tool creation and automates tasks for learning and development departments, empowering motivated individuals to solve problems without needing deep technical expertise.

Cloud cost management, or FinOps, should be an architectural requirement from the outset, not an accounting afterthought. Bad design decisions in the cloud environment directly translate to higher bills, making it essential for architects to consider unit economics alongside performance, security, and resilience. Effective cost optimization happens during the design phase through thoughtful choices about service tiers, data retention, and scalability, rather than through reactive cost-cutting measures after deployment.

The debate over whether to treat the idea that current AI systems are conscious as an open-ended question, or to dismiss the concept outright, continues to divide the industry.Microsoft AI Chief Executive...