I get the sense reading this article that the main concern raised is whether or not enough value is being generated by companies and researchers that "use machine learning to solve problems related to X" to justify the investment. The author doesn't touch upon whether using ML could be exacerbating the very problems these implementations are trying to solve. Inappropriate implementations of classification algorithms and predictive analysis that create false positives has the potential to inflate this sort of a bubble even further.