Taiwan Semiconductor Manufacturing Co. Ltd.2330
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Shares fell 3.81% premarket despite strong earnings, likely due to guidance for lower gross margin (65-67% vs 67.7% Q2) and operating margin (56-58% vs 60.3% Q2).
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Taiwan Semiconductor Manufacturing Co. Ltd.Theme Impact 2
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Trump eyes AI Force and AI czar to back seamless industry growth
US President Donald Trump revealed on Saturday, September 19, that he is in the process of establishing an AI Force and plans to announce the appointment of an AI czar soon. Trump said via his Truth Social that he will certainly not stand idly by and allow the destruction or undermining of AI technology, stressing that he will not obstruct or restrict the growth of this industry in any way, but will nurture, support and watch over it so that it grows even more, while also monitoring bad behavior through existing criminal and civil justice processes. Trump also compared AI to a new industrial revolution or internet era, and said the industry could account for as much as 25% of US gross domestic product, or GDP. However, Trump did not disclose further details about the planned structure of the AI Force or the role of the AI czar. The announcement comes amid growing debate in the United States over the rapid development of AI technology and the risks it may pose.
China Micro Semicon Establishes Hunan Tech Subsidiary to Expand into AI and Integrated Circuit Chip Business
China Micro Semicon has established a wholly owned subsidiary, China Micro Changxin Hunan Technology Company, with a business scope covering the sales of integrated circuit chips and products, integrated circuit chip design and services, integrated circuit sales, as well as artificial intelligence foundational software development and artificial intelligence application software development. Corporate registry data shows the company is wholly owned by China Micro Semicon.
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Nvidia, Google and Emerald AI Form Alliance for Power-Flexible AI Data Center
NVIDIA, Google, and Emerald AI have created the AI Energy Management Alliance to coordinate electricity use in AI data centers, and the group has started building what it calls the first purpose-built power-flexible AI data center, designed to adjust consumption with grid needs. AEMA plans to publish shared frameworks for grid-responsive data centers with input from utilities, regulators, and large AI infrastructure users. The alliance's first power-flexible facility is in Manassas, and the inflection point will be whether it secures faster grid interconnection terms or preferential tariffs by late 2026. Concrete regulatory wins or standardized grid-responsive design templates would show AEMA is more than marketing and could influence how future DSX style AI factories are specified and approved. NVIDIA operates as a data center scale AI infrastructure provider across the US, Asia, Europe, and other regions, so any shift toward power-flexible facilities directly affects how its hardware and software fit into future grid-aware computing projects.