Arm, the British firm responsible for the architecture that powers most smartphones, has made a strategic shift by introducing its first proprietary chip focused on artificial intelligence, a move that could alter the global tech landscape. Although this advancement is not aimed at end consumers, it will have a direct impact on the performance, cost, and capabilities of numerous everyday applications. For years, Arm has been a silent pillar in the industry, providing processor designs to giants like Apple, Qualcomm, and Samsung, who adapt its architecture to create their own chips. Now, for the first time in its three-decade history, Arm is transitioning from designing technology to manufacturing production-ready chips while maintaining its traditional licensing model. The new processor is targeted at data centers, the core where AI models are trained and executed, powering services like ChatGPT, Instagram, and digital platform recommendation systems. This move marks a fundamental shift: Arm is no longer just a technology provider but is competing directly in the hardware market. The chip, named Arm AGI CPU, is optimized for "agentic AI," systems capable of making decisions and executing tasks autonomously. Its specifications include 136 cores designed for intensive workloads, a significant improvement in energy efficiency—key in the AI era—and advanced integration with GPUs, essential for processing large volumes of data in parallel. Developed in collaboration with Meta, one of the largest investors in AI infrastructure, the chip is already being implemented in its data centers. Arm also has partners like OpenAI, Cloudflare, and SAP, solidifying its position as a relevant player in the global AI infrastructure. This launch comes in a market dominated by Nvidia in the GPU space and by Intel and AMD's x86 architectures in CPUs. Arm enters this competition with one of its historical strengths: energy efficiency, a crucial factor given the increasing electricity consumption of data centers, which poses both economic and environmental challenges. Although this chip will not reach mobile devices or personal computers, its influence will be felt in everyday life. AI services will be able to process more data in less time, providing quicker responses in chatbots, automatic translations, and more accurate recommendation systems. Furthermore, the advancement towards more autonomous AI will allow applications to integrate functions that operate without direct user intervention, from assistants managing tasks to tools anticipating needs.