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AI Agents: The Next Evolution of Artificial Intelligence?

The Rise of Agentic AI: From ChatGPT to Autonomous Collaboration The artificial intelligence landscape has rapidly evolved since the launch of ChatGPT in late 2022. A new development is emerging with the deployment of so-called agentic AIs. This…

AI Agents: The Next Evolution of Artificial Intelligence?

The Rise of Agentic AI: From ChatGPT to Autonomous Collaboration

The artificial intelligence landscape has rapidly evolved since the launch of ChatGPT in late 2022. A new development is emerging with the deployment of so-called agentic AIs. This shift necessitates a distinction between two key concepts: generative AI, like ChatGPT and Midjourney, which respond to specific prompts to create text, images, or music, and agentic AI, designed to accomplish complex tasks autonomously.

Generative vs. Agentic AI: A Fundamental Difference

Generative AI models operate in a conversational manner. Users must refine prompts and iterate to achieve desired results, much like a human conversation. In contrast, agentic AI is assigned a task with a defined goal. This task can be complex, requiring the integration of diverse information sources. For example, an agentic AI tasked with organizing a weekend trip to Venice would need to consider transportation schedules, hotel availability based on specific criteria (pet-friendly, smoking options), and reservations at tourist sites aligned with user preferences. Crucially, agentic AI can, with access to necessary permissions, execute tasks like purchasing plane tickets, booking accommodations, and buying event tickets .

The Potential for Professional Applications

This agentic approach is poised to expand into professional spheres, automating tasks currently handled by multiple individuals. Analysts suggest these AI agents are increasingly viewed as full-fledged collaborators within organizations, capable of both supplementing and, potentially, competing with human performance . This highlights the importance of understanding and optimizing the employ of these tools.

Tools for Non-Specialists

A key benefit of AI is its accessibility. Users can request questions and receive explanations tailored to their understanding, unlike traditional software requiring technical expertise before use. Several agentic AI tools are available, including ChatGPT Agent, Manus (Meta), Loveart, and Dust . Resources like the book “Agents IA pour les Nuls” (AI Agents for Dummies) by Daniel Ichbiah, and “Créez vos agents IA” (Create Your AI Agents) by Morgan Bancel, can guide users in creating and utilizing their own AI agents.

Mastering the Future of Work

As proficiency with these tools grows, so will the benefits derived from them. Familiarity with agentic AI will be crucial for navigating the evolving landscape of the modern workplace and fostering effective human-AI collaboration.

About the author: Anika Shah - Technology

MSc in Computer Science, senior reporter. Anika focuses on AI ethics, cybersecurity, and emerging hardware—frequently moderating panels at CES and Web Summit. “Anika Shah decodes tech breakthroughs and startup disruption shaping tomorrow’s digital landscape.”