What's most interesting to me is that an army of contractors is required to get even the low accuracy levels of voice recognition we have today. The "AI" revolution is pure smoke and mirrors designed entirely to bilk investors out of their dollars. There's been no improvement in "AI" in the last 50 years, except that we have a lot more data to push through the same useless models.
Also, how do you explain the progress on ImageNet challenge over the last 10 years? Each method there uses the same dataset, yet error rates (top5) have gone from 30% in 2011 to around 3% in 2016.