What It Means: A Forrester Podcast
AI Agents Vs. Agentic AI: Definitions And Use Cases
Feb 13, 2025
In this insightful discussion, Craig Le Clair, VP and Principal Analyst at Forrester, and Christina McAllister, Senior Analyst at Forrester, dive into the differences between AI agents and agentic AI. They explore how AI agents enhance customer service and workforce transformation while highlighting the balance of trust and efficiency. The conversation navigates the complexities of AI adoption in businesses and the importance of focusing on outcomes. Listeners will gain a fresh perspective on integrating AI in practical, innovative ways.
32:20
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- AI agents function autonomously to achieve specific goals, enhancing business operations while alleviating customer service challenges in various environments.
- Agentic AI represents an evolution in technology, enabling more complex behaviors and highlighting the importance of trust and clear outcomes for adoption.
Deep dives
Defining AI Agents and Agentic AI
AI agents are defined as systems that operate autonomously or semi-autonomously on behalf of individuals or organizations to achieve specific goals. These AI-driven systems represent a significant evolution in technology, distinguishing between traditional AI and agentic AI, which allows for more complex and self-optimizing behaviors. The emerging agentic AI capabilities illustrate optimism for future applications, especially as misconceptions about this technology continue to unfold. A foundational document titled 'Path to Agentic AI' is forthcoming to clarify these concepts and their contextual applications.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
