International Journal of Multidisciplinary Research and Growth Evaluation
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Comprehensive Review of Artificial General Intelligence AGI, Agentic AI and GenAI: Current Trends and Future Directions Satyadhar Joshi Independent, Alumnus, International MBA, Bar-Ilan University, Israel * Corresponding Author: Satyadhar Joshi
Article Info ISSN (online): 2582-7138 Volume: 06 Issue: 03 May-Jun 2025 Received: 08-03-2025 Accepted: 05-04-2025 Page No: 681-688
Abstract This paper presents a comprehensive review of Artificial General Intelligence (AGI) and Agentic AI, examining their technological foundations, current capabilities, and future trajectories. The study identifies key technical distinctions between these AI paradigms, including their architectural requirements, computational demands, and learning mechanisms. We survey the current technical landscape, including specialized frameworks like OpenAI’s AGI classification system and emerging Agentic AI platforms such as Vectara-agentic and CrewAI. The paper also examines the hardware infrastructure and cloud services enabling these advanced AI systems, from NVIDIA’s specialized GPUs to large-scale projects like OpenAI’s proposed "Stargate" initiative and others. Our comparative analysis reveals that Agentic AI is rapidly transitioning from research to practical deployment across industries including legal services, DevOps, and enterprise automation, while AGI remains in the research phase with ongoing debates about its feasibility and timeline. The paper discusses critical challenges in both domains, including safety considerations, alignment problems, and governance requirements. We highlight how Agentic AI serves as a bridge between today’s generative AI capabilities and future AGI aspirations, offering autonomous functionality while avoiding some of AGI’s unresolved risks. DOI: https://doi.org/10.54660/.IJMRGE.2025.6.3.681-688
Keywords: Artificial General Intelligence, AGI, Agentic AI, GenAI, Autonomous Systems, AI Safety
1. Introduction The field of artificial intelligence is undergoing rapid transformation, with two particularly significant developments capturing researchers’ attention: the pursuit of Artificial General Intelligence (AGI) and the emergence of Agentic AI systems [1, 2]. While AGI represents the long-standing goal of creating machines with human-level general intelligence [3], Agentic AI focuses on developing autonomous systems capable of complex decision-making within specific domains [4]. Recent advancements have reignited debates about the feasibility and timeline for achieving AGI. Some experts predict AGI could emerge as early as 2025 [5, 6] , while others remain skeptical, arguing that fundamental challenges remain unresolved [7, 8]. Meanwhile, Agentic AI has gained traction as a practical approach to creating more autonomous and capable AI systems [9, 10]. This paper examines the current state of both AGI and Agentic AI, their relationship, and their potential impacts on industry and society. Section II explores definitions and key concepts. Section III analyzes recent technological developments. Section IV discusses challenges and limitations. Section V examines applications and implications, and Section VI concludes with future directions. 2. Introduction to Technical Concepts and Terminology This section defines and explains more technical terms and concepts identified in the reviewed literature.
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