Core Insights - The company reported a record profitable quarter in Q4, with revenue growth of 14% and profit growth of 26%, exceeding both EPS and free cash flow guidance [2] - There is strong demand in the AI sector, with $2 billion in new orders, although some deals have been delayed into 2026 due to external factors like the U.S. government shutdown [3][4] - The company has a backlog exceeding $4.7 billion, indicating robust future growth potential despite current delays in datacenter projects [4] Datacenter Buildout Challenges - Delays in datacenter projects are attributed to a combination of supply chain issues, real estate complexities, and the time required for power and cooling installations [5][6] - The scale of datacenter buildouts is significant, often involving tens to hundreds of megawatts, which necessitates careful planning and execution [6][7] - Working capital requirements are also extended, impacting the overall timeline for project completion [8] Customer Demand and Technology Adoption - Customers are increasingly interested in the latest technology generations before committing to large-scale projects, which can lead to delays [9] - There is a growing trend towards flexibility in building datacenters, with a focus on networking capabilities and the adoption of new technologies [10][11] - The company has successfully returned its server segment, including AI, to approximately 10% operating profit in Q4, reflecting effective management of costs and demand [12] AI and Use Cases - Enterprises are accelerating the adoption of AI, with over 400 use cases already in production at the company, spanning various sectors [14] - The deployment of AI is increasingly occurring at the edge, where data is generated, which is seen as a cost-effective approach [15] - The concept of sovereignty cloud is gaining traction in Europe, emphasizing the importance of data sovereignty and hybrid designs in cloud solutions [16]