I would say you are also overconfident in your own statements.
> Individual humans are limited by biology, an AGI will not be similarly limited.
On the other hand, individual humans are not limited by silicon and global supply chains, nor bottlenecked by robotics. The perceived superiority of computer hardware on organic brains has never been conclusively demonstrated: it is plausible that in the areas that brains have actually been optimized for, our technology hits a wall before it reaches parity. It is also plausible that solving robotics is a significantly harder problem than intelligence, leaving AI at a disadvantage for a while.
> Due to horizontal scaling, an AGI will perhaps be more like a million individuals all perfectly aligned towards the same goal.
How would they force perfect alignment, though? In order to be effective, each of these individuals will need to work on different problems and focus on different information, which means they will start diverging. Basically, in order for an AI to force global coordination of its objective among millions of clones, it first has to solve the alignment problem. It's a difficult problem. You cannot simply assume it will have less trouble with it than we do.
> There's also the case that an AGI can leverage the complete sum of human knowledge
But it cannot leverage the information that billions of years of evolution has encoded in our genome. It is an open question whether the sum of human knowledge is of any use without that implicit basis.
> and can self-direct towards a single goal for an arbitrary amount of time
Consistent goal-directed behavior is part of the alignment problem: it requires proving the stability of your goal system under all possible sequences of inputs and AGI will not necessarily be capable of it. There is also nothing intrinsic about the notion of AGI that suggests it would be better than humans at this kind of thing.