In your scenario where an audio analog signal having nonzero spectral components from zero Hz to, say, 15 kHz, is sampled at a rate of 96 kHz the separation between the blue and green curves (in your linked web page picture) will be larger than the separation shown in the picture.
To answer your question of: "I'm wondering if there are some unforeseen side-effects to having those images there.", the answer is "No". And I say "No" because there is no spectral overlap of the sampled x[n] signal's blue and green curves, thus no "aliasing" errors have been caused by sampling the original analog signal at 96 kHz.
Now if you were to perform some processing on the discrete x[n] sampled signal that results in some sort of frequency translation (such AM modulation, or discrete signal decimation) causing overlap of the blue and green curves then you'll be introducing errors in your new "processed" discrete signal. The bottom line here is well-known; For any discrete lowpass signal the sample rate must be greater than twice the highest-frequency spectral component.
On that linked web page the page's author wrote: "A brick-wall low-pass filter, H(f), removes the images, leaves the original spectrum, X(f), and recovers the original signal from its samples." That sentence, without further explanation, is super misleading! There is NO digital filter that will eliminate the spectral images (the green curves) from a discrete signal sequence.ㅤ