Nvidia, Microsoft, and OpenAI: Everyone is suddenly talking about Agentic AI. So what’s driving this new evolution?
Two main forces are fueling the rise of Agentic AI. First, the pressure to monetize large language models (LLMs) like ChatGPT and Gemini. Second, the ‘Law of Scaling’ that limits how far incremental improvements can take traditional LLMs, even when adding new features.
But what exactly is this new buzzword ‘Agentic AI’? How does it differ from Generative AI? And how do they complement each other? Most importantly, how will Agentic AI shake and transform the world of Robotic Process Automation (RPA)?
Over the weekend, I took a deep dive into these intriguing questions, and it was truly an eye-opener. The practical use cases for Agentic AI are incredibly promising, ranging from revolutionizing fraud management in banks to accelerating the discovery of new medicines in healthcare.
As businesses look to the future, understanding the distinction between Generative AI and Agentic AI becomes crucial. Generative AI is about creating content—text, images, music—while Agentic AI is about taking autonomous actions to achieve specific goals. Imagine pairing the content creation power of Generative AI with the autonomy of Agentic AI—the possibilities for automation and innovation are limitless.
Agentic AI isn’t just an upgrade; it’s a paradigm shift. It’s poised to elevate RPA from simple rule-based automation to a new level of intelligent, adaptive automation. The impact will ripple across industries, transforming how processes are optimized, decisions are made, and value is delivered.
The future of automation is here, and it’s Agentic. Are you ready to harness it?
