I'm far from an expert so the following is just IMHO. The bad industries ones will be transformed before the good ones. What I mean by that is that computer vis

I'm far from an expert so the following is just IMHO. The bad industries ones will be transformed before the good ones. What I mean by that is that computer vision applied to medical imaging would be huge. But the detection/classification isn't accurate enough for that field, just yet. Yes, results are amazing on standard datasets such as ImageNet but they fail to become equally good when there are orders of magnitudes less amount of data. And in the field, accuracy is very important, a net classifying cancer correctly 90 % of the time is likely useless. One exception is automated language translation which is getting very good. I'm noticing that some of the articles papers I'm reading are machine translated. They appear to apply machine translation to English articles and then have some editor doing manual touch-ups which seldom is enough. The "bad" industries such as spam and SEO can definitely benefit from ML as it exists today. There are ML algorithms (LSTM) that can generate faked web sites with images that, from Googlebot's point of view, are completely indistinguishable from real sites. Another use would be to generate realistic looking accounts in social media to steer the conversation, perhaps for political purposes. Porn obviously, could also use ML due to the huge amount of data (the porn itself and user interactions) available. I don't think (fully) self-driving cars will exist in 2028. But who knows? Ten years is a loooong time.