New 54-page review maps Agentic AI's evolution, adoption, and future directions

Agentic AI—artificial intelligence systems that can autonomously perceive, decide, and act—has advanced rapidly, prompting a need for structured understanding. Responding to that, researchers AKM Bahalul Haque, Al Amin Islam Ridoy, Mohammad Rayhan, and Ivan Porres published 'Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions' on arXiv (2608.18110). The peer-reviewed work spans 54 pages and includes 13 tables and 7 images, offering a rigorous systematic review of the field. It traces the historical and theoretical evolution of agency in artificial systems and breaks down modern agentic architectures and their operational mechanisms, making complex concepts accessible to both researchers and practitioners.

Beyond fundamentals, the review explores real-world applications of agentic AI across various domains, identifying where autonomous agents deliver measurable value and where they still struggle. It also analyzes current bottlenecks—such as safety, reliability, and system quality—and proposes a comprehensive framework for stakeholder intention to adopt agentic AI, grounded in proposed system quality metrics. The authors consolidate existing research, highlight key gaps, and outline a forward-looking agenda for future work. This makes the paper a practical reference for anyone designing, deploying, or evaluating AI agents, grounding hype in a structured evidence-based assessment.