There is a book called AI for Marketers by Christopher Penn: Here's a summary of his thinking on the subject.
Chris Penn: When we’re talking about AI for marketers, we’re talking about marketing trying to do three things:
1. Faster: AI should help us do our work faster. There’s no way any of us could read 1,000 tweets a second. Acceleration.
2. Better: Accuracy. Better quality data. Humans are prone to mistakes and if you’re living your life inside of spreadsheets, there’s a good chance that you or someone in your chain of command is introducing errors along the way. We can improve the accuracy by taking that away from humans and giving it to machines to do the same repetitive stuff. This will give us better accuracy.
3. Cheaper: Or more efficient. This means getting stuff that is repetitive and of low value away from humans and over to machine so that you the human can do more valuable things. The person will be happier. The work will be better.
These are the three things that marketers should be looking for when embarking on using machine learning to make life better.
Further in the interview with Bsquared media, he has this exchange with the interviewer:
B2: There are so many articles that we’ve been seeing that say, “AI’s going to take your job” or “the robots are coming.” It’s been made into a scary thing. In the three examples you just gave, it’s not completely removing the human. We’re not removing the human from the intelligence tools, we’re helping the human being make better decisions faster and taking out some of those low-level tasks to make things cheaper and more efficient.
CP: Maybe. And I say maybe because there was a fascinating piece from a reporter who was at Davos last week. They were privy to and talking to a number of CEOs and major movers and shakers, and the behind the scenes conversation for corporations is “We want AI to remove as many jobs as possible because humans are expensive”.