With the assistance of AI, autonomous systems are changing whole industries by enabling decision-making, environmental adaptability, and minimum human control. Self-driving cars, industrial robotics, drones, and sophisticated healthcare services greatly improve our ways of living and working. With the improvement of machine learning, computer vision, and real-time data processing, these technologies are now within reach of full automation. But mitigating issues relating to reliability, security, and moral adherence is far more complicated than it appears. To construct scalable systems, building a robust, resilient, and intelligent high-load infrastructure for unpredictable scenarios is a must. Malicious system abuse or security incursion further complicate and escalate the problem. The ethical dimension of AI autonomy of accountability, bias, and unfairness also require tender governance and policy making. Unchallenged innovation entwined with regulation is crucial in acceptance of these systems. This presentation will discuss new developments, their implementation, and shifting obstacles to deploying AI powered autonomous systems.