A quick review:
Hidden Stories: How AI will Advance Careers, Not Steal Them" By Xander Kotsatos. The blog was originally posted on RocketFuel.com, but I found it through Linkedin.
Finally, something positive not a sky-is-falling write-up!
The writer enjoys his vocabulary: "...This is in stark contrast to earlier thinking which posited that advances in computing would lead first to the mechanization of low-cognition work and then to the automation of high-cognition work..." I appreciate him looking for exactly the right word, but it makes for a tedious read.
The rest of that paragraph goes on to make his point: "Instead, with the constant doubling of computing power, a machine with sophisticated AI or “Deep Learning” can handle highly cognitive work, like filing a tax return, which will generally look at the same set of variables to achieve a similar-looking output, yet that same machine will fail going into a school bathroom and trying to clean it effectively, due to all of the possible externalities: size of the room, number and kinds of appliances/surfaces to be cleaned, type of mess encountered, etc."
Uh... AI can complete & file a tax return but cannot clean a school bathroom.
He quotes Mark Cuban “there’s going to be a greater demand for liberal arts majors in 10 years…[technology] will spit out options for you, you need a different perspective in order to have a different view of the data. And so having someone who is more of a freer thinker [will lead to a successful result].”
"Moving forward, true progress will be attained when humans and machines work in concert, both focusing on their strengths: a machine’s ability to crunch a tremendous amount of data and solve a problem within a given context and a human’s ability to look beyond those confines in order to glean insights that are applicable to a larger narrative."