The Shift from “Chat” to “Do”: Navigating the Era of Agentic AI

📰 Medium · Machine Learning

Learn about the shift from chat-based AI to Agentic AI, which focuses on execution and autonomy, and how it will change the AI landscape

intermediate Published 14 Apr 2026

Action Steps

Define the Agentic architecture and its components
Identify the key differences between Generative AI and Agentic AI
Explore the potential applications of Agentic AI, such as autonomous workflows and decision-making
Develop strategies for integrating Agentic AI into existing systems and workflows
Evaluate the ethical and societal implications of Agentic AI

Who Needs to Know This

Developers, product managers, and AI researchers will benefit from understanding the transition to Agentic AI, as it will impact the design and development of future AI systems

Key Insight

💡 Agentic AI enables AI systems to execute tasks autonomously, without constant human guidance, and will revolutionize the way we interact with AI