a) Lower-dimensional features are useful for most tasks, not just output and b) Real data almost always has a lower intrinsic dimension.

For example if you want to recognize faces, you'd have a much easier time recognizing patterns in things like gender, shape of facial features, hair color, etc rather than raw pixel data. Most pixel values are irrelevant.