Cisco has introduced the P200 chip, designed to enhance connectivity between AI data centers over long distances while significantly reducing power consumption by 65%. This new technology simplifies data synchronization across multiple centers, addressing the challenges posed by increasing cloud and AI demands.

The Trump administration has announced an action plan aimed at accelerating the use of artificial intelligence in the U.S. by reducing regulatory barriers and boosting exports for tech companies. The plan includes directives for federal agencies to eliminate regulations that hinder the development of AI infrastructure, particularly data centers essential for training AI models.

Oracle's co-CEOs, Mike Sicilia and Clay Magouyrk, are advocating for the company's significant investment in new data centers, which they claim will enhance AI capabilities for businesses. They emphasize the provision of applied AI through infrastructure, analytics, and applications.

As demand for electricity surges due to the AI boom, tech companies are constructing their own power plants to bypass the slow U.S. power grid. Projects like OpenAI's Stargate in Texas and Elon Musk's data centers in Memphis highlight this trend, as firms seek quick fixes amid supply chain and permitting challenges.

The article discusses the significant underutilization of artificial intelligence data centers in China, highlighting that many facilities are operating far below their capacity. Despite investments and the rapid growth of AI technologies, a considerable number of these centers remain largely unused, raising concerns about efficiency and resource management in the sector.

Qualcomm is expanding its business beyond smartphone modems by introducing new AI chips aimed at data centers, set to launch next year. This move comes as the company seeks to diversify its revenue streams following the loss of major clients like Huawei and Apple's chip development efforts.