I believe Agents and the Model Context Protocol (MCP) will remain resilient, while rigid Agentic workflows will likely churn away. Hard-coded, step-by-step stat

I believe Agents and the Model Context Protocol (MCP) will remain resilient, while rigid Agentic workflows will likely churn away. Hard-coded, step-by-step state machines—like rigid "if-this-then-that" prompt chains—are just temporary scaffolding. In my opinion, autonomous agents are likely going to be the most resilient piece here, but I also believe they harbor the most unaddressed "dark corners" of the AI ecosystem. A lot of people are rapidly deploying them to multitask like scheduling meetings, running and testing code, etc but there is also a massive lingering issue regarding how much power and execution authority we are giving them, and the unchecked decisions they could make could be problematic depending on the situation.