Vardan Vardanyan, 2026. "AI-Native Computing Systems: Rethinking Operating Systems, Networks, and Infrastructure", International Journal of Review Computing and Information Technology (IJRCIT) 1(1): 18-36.

We introduce the notion of AI-native computing systems, discussing how artificial intelligence is fundamentally changing operating systems, networking architectures and computational infrastructure. Examining principles for AI-native systems, intelligent operating system architectures, autonomous Networking frameworks, AI driven infrastructure management, distributed edge intelligence and the new security threats. In addition, it identifies the way AIOps, digital twin, federated learning and cognitive infrastructure contribute to autonomous computing environments. In this review, we describe the current status and future developments of AI-native computing as a new paradigm to embrace autonomous digital environments powered by next-generation artificial intelligence capabilities.
The Tinder bios of AI-native computing systems: The implications are that, in terms of computer science and IT the kind of paradigm shift that's already happening here. With the increasing requirement for intelligent, scalable, and self-optimizing infrastructures by organizations—AI-native architectures are set to be the next-generation building blocks of future computing ecosystems. Leverage core systems with AI: By embedding machine learning into the foundational elements of their core system functions, enterprises gain significant ambitions around innovation, operational efficiency, security and sustainable computing leading to AI-native computing being one of the most potent accelerators of digital transformation over the next few decades.

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