Generative and Agentic AI – Creator and Executioner

The past decade witnessed a rapid evolution of AI, sparking sensations and controversies. AI seems to have come a long way by constantly upgrading and revamping itself. From traditional AI-powered models like Chatbots and Copilots to newer concepts like Agentic AI, advanced models are creating a buzz in the digital landscape. Generative AI and Agentic AI have emerged as major innovations capable of transforming industries at an unprecedented level.

Generative AI is a pro when it comes to establishing connections with users and creating texts, images, and videos. But its overdependence on pre-set data to learn and train itself has been a cause of concern. They can only act upon prompts to carry out even the simplest of tasks. Users have to keep giving prompts for every single step, which is tiresome and difficult. Agentic AI, on the other hand, is leading the game with its ability to carry out complex tasks under minimal human supervision.

What sets the Agentic AI apart from other generative models is that it retains a certain degree of autonomy. Their job does not end with simply responding to the given prompt. They are initiators who can understand contexts and carry out tasks accordingly. All we have to do is give a high-level objective and be there to supervise. The rest of the job is theirs to deal with. And trust me, they will carry it out with precision and accuracy, just the way you want it. With the ability to memorize a past command, Agentic AI can not only foresee the user’s needs but also adjust itself based on previous interactions.

Generative AI creates, and Agentic AI does the rest; it decides and acts. Like the two sides of the same coin, both are essential to every industry. They supplement and complement each other by thinking, creating, and executing. Organisations wanting to stay ahead of their competitors must embrace these advanced models for a self-reliant and independent digital ecosystem.