There's been some debate between rival economists about the potential impact of new automation technologies. On one side, there are people who see the combination of machine learning and automation as being capable of replacing most or all of the people who do simple or repetitive tasks, or even more complex tasks like driving. CGP Grey's video,
Humans Need Not Apply, gives a solid and unsettling summation of this viewpoint.
On the other side, of course, are those who have been clinging to the very convictions that Grey's video spends fifteen minutes dismantling: that automating grunt work will free up humans to do other, more intellectual work, improving life for displaced workers once they've all been retrained and reentered the workforce as higher-skilled, better-credentialed high-tech workers.
Never mind that we have no way to retrain anywhere near 10% of our work force, let alone 25%, 40%, or more, or any clear idea what new jobs we'd be retraining them to do; never mind that the rise of high-tech industries hasn't actually succeeded in doing this at any point in the last thirty years. We should just stop worrying about a future where those workers who are still employed are also largely disposable, and where everyone else gets to take on enormous debt loads in the form of college loans, often as middle-aged students who'll have little hope of paying off those debts. Once these technologies start rolling out in the real world, the argument goes, we'll have a better idea of the impact they'll have on the employment picture, and we should all just chill out until that happens.
Enter Uniqlo, who have just rolled out this technology in the real world, as reported by Quartz: