By Jim Shimabukuro (assisted by You.com)
Editor
Summary: Here are summaries of three of the latest (2025) articles that explain the concept of “agentic AI,” each selected for their recency, relevance, and depth of explanation. They collectively cover its definition, core concepts, practical applications, and strategic importance for businesses and society .
1. “What Is Agentic AI? Why Every Entrepreneur Should Care” (Entrepreneurial Tech Insights, July 8, 2025)
Targeted at entrepreneurs and business leaders, this article provides a clear and concise introduction to agentic AI. It defines agentic AI as artificial intelligence endowed with agency—the capacity to act autonomously in pursuit of specific objectives. The article explains the distinction between agentic AI and traditional or generative AI, emphasizing the former’s ability to plan, reason, adapt, and operate with minimal human intervention. It highlights why understanding agentic AI is crucial for future competitiveness, noting that these systems can drive innovation, streamline operations, and unlock new business models. The article also offers practical advice for entrepreneurs on how to begin exploring and adopting agentic AI technologies within their organizations .
2. “Agentic AI In-Depth Report 2025” (HBLAB, August 13, 2025)
This comprehensive report serves as a foundational resource for business decision-makers, students, and technologists seeking to understand the landscape of agentic AI. The article begins by clearly defining agentic AI as artificial intelligence systems designed to act autonomously, pursue specific goals, and operate with minimal human supervision. It details the core capabilities of agentic AI, such as advanced reasoning, planning, adaptability, and the ability to use external tools or collaborate with other agents. The report also explores real-world applications, highlighting how agentic AI is being integrated into business processes, automation, and decision-making systems. It emphasizes the significance of agentic AI in shaping the future of work and innovation, and provides guidance on how organizations can prepare for and leverage these emerging technologies .
3. “AI Agents in 2025: Expectations vs. Reality” (Tech Industry Analysis, 2025)
This article critically examines the dominant innovation narrative of 2025, which centers on the rapid rise of agentic AI. It provides a balanced perspective by contrasting the hype surrounding agentic AI with the practical realities of its current capabilities. The article explains that agentic AI systems are characterized by their autonomy, goal-driven behavior, and ability to execute multi-step processes independently. It discusses how these systems are beginning to impact daily life and business operations, from automating complex workflows to enabling new forms of digital assistance. The piece also addresses the limitations and challenges facing agentic AI, such as reliability, safety, and the need for robust oversight, offering readers a realistic view of what to expect from agentic AI in the near future .
Filed under: Explained |
Educational Technology and Change Journal 
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