That's because you're confusing ANN with General/Hard AI. It's not. ANN's are a tool which excells in clasically difficult tasks (pattern matching, for example)

That's because you're confusing ANN with General/Hard AI. It's not. ANN's are a tool which excells in clasically difficult tasks (pattern matching, for example). But since the AI winters we've learend that, as good as they're for pattern matching, we can't rely on them to do all the work. And I would like to disagree with you. A system, with many small subsystems dedicated to specific tasks, is not only simpler to develop, but also better from an engineering point of view. To put in a practical example: do you use the same "parts" of the brain to read a poem and to interpret a mathematical formula? If you would, you'd be quite bad at both things. your brain has specialized "parts" (not necesarily physical parts) to interpret correctly different things. Why should we not do the same with our AI systems?