maym86

I understand economics of scale. Amazon could order a million machines without raising workers wages.

It is absolutely useful if you're trying to measure the size of a football field. What in the article precisely does your analogy refer to?

Raising the wages of humans so they are the same cost as machines doesn't make the machines cheaper. Amazon could keep workers wages low and still buy machines and create the market. One doesn't necessitate the other.

That video looks like a demo/marketing video. Are there any videos of the factory working at full load?

> Robots will be able to do the jobs for $15 hour sooner than they'll be able to for $7 an hour

This doesn't make sense. Increasing workers wages doesn't change the rate a which automation technology becomes available. The bottle neck is the availablity of capable automation systems which is unrelated to workers wages.

Even if there was a technology available that cost $15 an hour and worker wages were $7, increasing the workers wages doesn't decrease cost of the technology.

I specifically mean wearhouse workers. The automotation technology isn't good enough and whether or not they implement it has little to do with these wage changes.

Exactly, and Amazon is still growing so even as some jobs are gradually replaced by machines the total number of workers is still increasing.

This is a problem with Amazon PR misrepresenting a salary increase that isn't actually what they protrayed it as originally.

The point of the article is that your assumption, the assumption that people often make, has been measurably shown to be incorrect.

People should be able to provide constructive and useful criticism of a technology without having to build their own solution.

Because men are statistically more likely to cause auto accidents. There is no evidence that women are not statistically more likely to be bad at getting good work done at companies like Amazon. It's pretty simple.

- If you hired this male candidate you may be interested in this identical male candidate.

Every story is a twist. "This one thing you thought you knew isn't actually true". Great for telling friends in the pub but misleading through selection bias as they don't tell all the stories where things aren't different to what was expected.