| Answering to your second part of the question about hidden challenges: If you are using AI agents to automate a workflow [1] execution, then the question to ask is where is non-determinism in the workflow. As in, where do humans scratch their head as opposed to rely on deterministic computations. It turns out, a lot of times, as humans, we scratch our head just once for a given kind of objectives to come with a plan. Once we devise a plan, we execute the same plan over and over again without much difficulty. This inherent pattern in how humans solve problems sort of diminishes the value of AI agents because even in the best case scenario the agents would only be solving a one-time, front-loaded pain. The value add would have been immense if the pain has been recurrent for a given objective. That is not to say there is no role for AI agents. We are trying to infuse AI agents into an environment where we as humans adapted pretty well. AI agents will have to create newer objectives and goals that we humans have not realized. Finding that uncharted territory, or blue ocean, is where the opportunity is. [1] By 'workflow' I mean a series of steps to take in order to achieve an overall objective. |