With the advances in machine learning, data mining and process of big data, soon machines will find patterns that could either interpreted as causation or correlation while we have no idea of the underlying mechanisms.
At the time falsifiability is the most accepted concept to differentiate science and pseudoscience by ranking high risk taking theories above the others.
According to falsifiability we need data to falsify the theory (mostly happens in natural science) which is already based on vast amount of data processed by AI.
The idea doesn't seem secure as past since data gathering and processing costs has changed a lot from Karl Popper days.
Is this going to obsolete falsifiability in the future or where I am wrong in my assumptions?