The problem is that there is really like no middle ground. You either get essentially very fancy search engines which is the current slew of models (along with manually coded processing loops in the form of agents), which all fall into the same valley of explicit development and patching, which solves for known issues.
Or you get something that can actually reason, which means it can solve for unknown issues, which means it can be very powerful. But this is something that we aren't even close to figuring out.
There is a limit to power though - in general it seems that reality is full of non computationally reducible processes, which means that an AI will have to simulate reality faster than reality in parallel. So all powerful all knowing AGI is likely impossible.
But something that can reason is going to be very useful because it can figure things out that haven't been explicitly trained on.
Or you get something that can actually reason, which means it can solve for unknown issues, which means it can be very powerful. But this is something that we aren't even close to figuring out.
There is a limit to power though - in general it seems that reality is full of non computationally reducible processes, which means that an AI will have to simulate reality faster than reality in parallel. So all powerful all knowing AGI is likely impossible.
But something that can reason is going to be very useful because it can figure things out that haven't been explicitly trained on.