DOI: https://doi.org/10.14710/jmasif.16.2.77084

A Critical Review of Agentic AI: Core Technologies, Applications, Ethical Implications, and Future Research Directions

Strategic Markets, Kyndryl, India

Received: 18 Aug 2025; Revised: 19 Oct 2025; Accepted: 24 Oct 2025; Available online: 5 Nov 2025.
Open Access Copyright (c) 2025 The authors. Published by Department of Informatics Universitas, Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract

Artificial intelligence (AI) is progressing toward the Agentic AI paradigm, which involves intelligent systems capable of autonomous, proactive, and goal-focused behavior through adaptive interactions with their environment. This article offers a critical review of the development of Agentic AI by analyzing its technological foundations, application areas, and the associated technical, ethical, and policy challenges. The review adopts a narrative approach by examining primary literature from the IEEE, Scopus, and ScienceDirect databases for 2019–2025 using keywords such as agentic AI, multi-agent systems, human–AI collaboration, and autonomous decision systems. The findings are organized into a three-layer conceptual framework linking core technologies like Reinforcement Learning, Multi-Agent Systems, and Natural Language Processing with various application domains and cross-cutting challenges. The analysis indicates that despite the significant potential of Agentic AI, gaps remain in areas such as agent interoperability, autonomy assessment metrics, and field implementation limitations. This article proposes a structured research agenda aimed at developing Agentic AI that is more transparent, trustworthy, and aligned with human values.

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Keywords: Agentic AI, Generative AI, Artificial Intelligence, Cloud Computing , Machine Learning

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Section: Review Article
Language : EN
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