As far as I know the time complexity between AVL trees and Binary Search Trees are the same in average case, with AVLs beating BSTs in worst case scenarios. This gives me a hint that AVLs are always superior than BSTs in every possible way to interact with them, perhaps adding a little complexity when it comes to balance implementations.
Is there any reason anyone should use BSTs instead of AVLs in the first place?
First, getting the best possible performance is not the ultimate goal of programming. So, even if option B was always faster and consumed less memory than A, it doesn't mean it's always the better option, if it's more complicated. More complicated code takes longer to write, is harder to understand and is more likely to contain bugs. So, if the simpler but less efficient option A is good enough for you, then it means it's the better choice.
Now, if you want to compare AVL tree with simple binary search tree (BST) without balancing, then AVL will consume more memory (each node has to remember its balance factor) and each operation can be slower (because you need to maintain the balance factor and sometimes perform rotations).
As you said, BST without balancing has a very bad (linear) worst case. But if you know that this worst case won't happen to you, or if you're okay if the operation is slow in rare cases, BST without balancing might be better than AVL.