AI in 2026: Experimental AI concludes as autonomous systems rise

The article highlights a pivotal shift in AI development, with 2026 expected to mark the transition from experimental generative models to fully autonomous systems capable of reasoning, planning, and executing complex workflows with minimal human oversight. This evolution emphasizes agency, energy efficiency, and the ability to navigate intricate industrial environments, particularly in sectors like telecommunications and heavy industry, where autonomous network operations (ANO) and multiagent systems (MAS) are being deployed to enhance efficiency and reduce operational costs. Technologically, the focus is moving toward multiagent systems that enable collaborative, multi-step task execution among distinct AI agents, surpassing