Ah, but certain problems are not just limited by the amount of time and resources that may be apportioned to them, but are bounded by needing to be completed with specific time and resource constraints.
And that's a spot where computers and programming show that they are capable of implementing systems that biological humans literally cannot under any circumstance. Our hardware/meat-ware is not capable of it.
If we maintain a willing suspension of disbelief, for sure a human being may be able to add up a million numbers correctly if they had infinite time and infinite resources (although in reality they would not be provisioned with those resources or time), but what no individual human can do is be presented with those numbers and add them up in under a second. Or to be more realistic and to draw away from our simple notion of individual problems and individual resource constraints, there are fields of knowledge resulting from coordinated-compound-tasks that require locally doing 20 disparate but coordinated operations in parallel in under a second.
The application of our modern day technology literally involves the creation and implementation of systems that no biological human or human-centric system can accomplish.
edit: of course, that might be a way of saying the problems that you said human beings take way to long to solve, but i think there's an important need to distinguish between those problems that we can't do because of algorithmic complexity, and those problems that we cannot do because we are not made/manufactured of the same stuff and able to be programmable with the same ease. Without blurring the definition of what it means to be human/computer, there are fundamentally problems that computer/AI can solve that we cannot.