We are in the earliest stages of Agentic AI, and, much like the early days of RPA and GenAI, there’s a lot of excitement but also a lot of uncertainty. While the potential benefits are enormous— streamlined operations, lower costs, fewer human errors—there are equally important concerns about job displacement, bias in AI decision making, and a lack of transparency in how these systems operate.
Furthermore, there’s the issue of data. Remember, LAMs rely on vast libraries of past actions to make decisions. But who will provide these datasets? So far, the companies best positioned to leverage Agentic AI are those with extensive customer logs and business applications—think large enterprises with deep pockets. Small businesses and independent users may find themselves left behind, unable to compete in an increasingly automated world.
Agentic AI holds immense promise, but it also represents a significant leap in our relationship with technology. Whether it becomes a tool to enhance our jobs or a force that replaces them remains to be seen. As with any transformative technology, the key will be finding the right balance—leveraging automation to improve efficiency without losing the human touch.
Are you still hanging in there? Ready or not, the future is coming. The question is: Are we prepared for the agents that will shape it?