Is it a big deal if an AI considers us humans as highly predictable

Most human cultures glorify excellence as it had and still has an evolutionary advantage. If we can’t achieve excellence, then the next thing we mostly want to settle for is achieving an acceptable level of goodness. The core of excellence or any level of attempt of mastery over something is repetition (practice). The state of the art explanation neuroscience offers about repetition is as an attempt to create a unique and stronger neural circuitry in the brain, that can be mapped to the task that is desired to be mastered. The stronger this neural network is, the faster the signals of the firing neurons can be transmitted and hence the better the outcome. A habit can be considered as a tool that is used to develop this circuitry. As a habit by itself is a product of a certain a neural mapping (configuration), the whole process of developing excellence or an acceptable level of performance in a task, using the habit of repetition is equivalent to running a computer software on top of an operating system. In this model, the task to be mastered is the software while the habit of repetition is the operating system (the brain is obviously the computer). A good operating system allows a program to be executed efficiently and produce intended results. A bad operating system, besides affecting the execution performance, can result in the wrong outcome. If we think of the whole thing in this way, it is very easy to understand why we are predictable most of the time: we are predictable because everything we do is aimed at excelling in familiarizing ourselves to our environment further in an attempt to master even further.