Why the AI Agent trend feels broken

AI Agents are automating existing and sometimes broken processes. Oftentimes, re-introducing the human error in automation.

Humans have inherent limitations, and the systems we build are shaped by those constraints. Processes, tools, frameworks. They exist not because they are ideal, but because they compensate for what we cannot do ourselves.

So what’s the point of replicating these processes with AI, instead of rethinking the problem entirely?

Perhaps AI agents are nothing more than mechanical horses, built not because we lack technology, but because we lack the vision to design cars.

I was wrestling with this idea for months while building an AI marketing product. One of my biggest obstacles was resistance to fresh approaches.

In the end, I shifted focus to an audience I understand better and chose to emphasize what our AI accomplishes, rather than how. What is your take?