Microsoft Restructures Xbox Gaming and Marketing Teams: Focusing on the Future of AI and Gaming


Microsoft plans to move its self-developed Azure Maia AI chip from the lab to the main stage. Executive Gursky stated that starting in 2027, Maia will be deployed at a multi-gigawatt scale, making it the primary inference system across all product lines. The current Maia200 is already running in the US, Europe, and Australia for Microsoft Copilot, GitHub Copilot, and Foundry, with full integration expected by year-end. CEO Nadella called this our biggest bet on...
Microsoft launched its third-generation self-developed AI chip Maia300, with plans for production in 2027. The chip aims to become the main AI inference system for its products and services. It focuses on improving cloud AI inference performance and energy efficiency, optimizing long context, low-latency conversations, and multi-step agent tasks. Scott Guthrie, Executive Vice President of Microsoft Cloud, stated that compared to leading GPUs, its token delivery per megawatt is expected to increase by 40%, and the rack-level token throughput also improves under a 96 accelerator configuration.
Microsoft introduces features such as task delegation, Office document in-place editing, and interactive reports to Copilot Notebooks, advancing its evolution from an AI information organization tool to an intelligent workspace for executable tasks. The updates, based on Microsoft's October 2026 information, are being rolled out in phases through the Frontier Preview Program. This tool integrates documents, emails, and meeting records, and can answer questions, generate study guides, and create audio summaries based on the material; after the update, users can delegate tasks to Copil
Trump pushed to change the term "artificial intelligence" (AI) that has been used for decades to "super intelligence" (SI). He accused "artificial" of implying falsehood in September, signed an executive order requiring federal agencies to use SI in official communications, and threatened to label those who continue to use AI as enemies. Pressure reached Silicon Valley, with Musk leading to rename SpaceXAI as SpaceXSI, followed closely by Salesforce's Benioff.
A recent poll shows that concerns about the rapid development of AI have crossed party lines among U.S. citizens. Most people believe the government should prioritize ensuring AI remains under human control and strengthen protection for workers. 64% of respondents said AI development is too fast, while only a small number felt the pace was appropriate or too slow. Concerns about the risk of AI becoming uncontrollable by humans are driving demands for regulation, making it a central issue in public policy. Several leading tech executives have also called for stronger governance.