Also a medical student with an interest in AI. Healthcare jobs that rely on visual recognition (dermatology, radiology, some pathology) are probably the most likely to benefit in the short term (see Enlitic). Presumably a lot of other jobs require advances in Natural Language Processing/Understanding, as one of the big problems in health is the mostly unstructured nature of the data.
It is also possible that many healthcare jobs are essentially AI-complete problems - in this scenario, subjective opinion is not really a reliable marker, but lots of AI specialists give around a 90% chance of human-level machine intelligence by 2070 (there's a table in Nick Bostrom's Superintelligence with the actual figures).
As somewhat alluded to in the article, some of the graphs here extrapolate historical data and assume it to be a good predictor of the future. Without an understanding about the deep nuances of economics - for which someone else can supply good or bad reasons why this or that might happen - there is no reason why the future should necessarily rely on anecdotal evidence.
I'm a medical student and had to conduct several simple short-term memory tests (Mini Mental State Examinations, or MMSEs for short) today. It's quite upsetting for the patient when they don't even know how to spell 'world' backwards, or can't recall the words "ball car man" that you told them half a minute earlier. I wonder if this concept will improve both long term and short term memory, or just the latter?
I think there's a fundamental flaw in this article, which is that it uses the blanket term of "homework" to probably mean simple revision of theory taught in class. Coming from a rural primary school where education was subpar, I remember my Mum would make me do maths exercises from a book, with varying levels of difficulty. She was say, "do this chapter", and then I would have to read the entire chapter and work out the answers to the questions just based on the reading - a fantastic exercise in problem solving at that young age.
There were annual mathematics competitions which placed your ranking compared to other students in Australia, and - at the time I did that homework - I was in the top 1%.
Fast forward a few years where we stopped doing maths exercises and just started relying on what the primary and then subsequent secondary school taught. My grades dropped, going from top 1% to 10% nationally and then lower still. The reason was that I wasn't exposed to enough content from the school itself.
Simply put, it is fallacious to argue that less exposure to learning materials puts children in better stead.
As far as the idea of disillusionment of children with the world goes: this is more a function of teaching things in an interesting and real-world-applicable way. Entertainment is the name of the game here, not less work. Kids are inspired by what they find fun.
It is also possible that many healthcare jobs are essentially AI-complete problems - in this scenario, subjective opinion is not really a reliable marker, but lots of AI specialists give around a 90% chance of human-level machine intelligence by 2070 (there's a table in Nick Bostrom's Superintelligence with the actual figures).