Agentic AI is no longer merely an interactive tool we talk to; it is a colleague that acts for us. The use of generative AI continues to expand in new ways. Meanwhile, the development of AI agents is driving the expansion and efficiency of AI. In the agentic AI models, we have tools that are capable of reasoned assessment of what is needed to accomplish a goal, aligning a series of stacked tasks and completing those tasks without direct supervision in an efficient way, much like a human assistant would perform a series of tasks to achieve desired outcomes. For example, this often includes data collection, analysis of the data, identifying and implementing ways in which to accomplish the goals, documenting the findings, and finding better ways to accomplish the outcomes.
