Hua Er Jie Jian Wen·2026-01-20 12:22Group 1 - The core idea of the articles highlights the shift in the AI competition from algorithm models to the acquisition of physical infrastructure, with tech giants aggressively pursuing mergers and vertical integration to secure energy supplies [1][2] - Google recently acquired renewable energy developer Intersect Power for $4.75 billion, aiming to bypass lengthy grid connection queues and gain access to 8 to 10 gigawatts (GW) of development pipeline [1][3] - The scarcity of electricity infrastructure is reshaping the valuation and competitive landscape of data centers, making self-sufficient energy and land resources a core competitive advantage for tech giants [2] Group 2 - Google's acquisition of Intersect reflects a strategic logic focused on supply chain priority, with Google paying approximately six times more per gigawatt compared to Amazon's recent acquisition of a bankrupt solar project [3] - Intersect's advantageous position in the supply chain allows it to secure critical equipment with a long delivery cycle, enhancing Google's ability to bring new power generation capacity online by 2028 [3][4] - Texas is identified as an ideal location for energy deployment due to its abundant wind and solar resources and a relatively independent market grid, allowing for rapid and cost-effective energy solutions [5] Group 3 - Elon Musk's xAI is demonstrating remarkable execution speed with the launch of the Colossus 2 AI training cluster, which will expand to 1.5 GW by April, significantly outpacing competitors [7] - xAI's strategy involves building infrastructure from scratch to meet computational demands, avoiding reliance on cloud service providers like Microsoft Azure or Amazon AWS [7] - The competition for resources among data centers raises environmental concerns, with companies like Microsoft and Meta Platforms exploring various solutions to optimize energy use and manage public resources [8]