> It allows high income earners to move to lower cost of living areas (or never leave them to begin with) But the algorithms are already compensating for that. Many companies are paying “location differential” salaries. It will probably result in a new form of outsourcing.
The “good” news, however, is that it won’t last. Many formerly affordable areas are already seeing gentrification and median income jumps, as a result, so they are being flooded with yuppies, and driving out the lifelong residents. I’m watching that happen to Brooklyn, in New York. I know that it is almost catastrophic, in San Francisco. I’ve seen the “Google buses,” on 101.
I’m hoping that unions make a comeback, but that’s a damoclean sword; as the American system is highly adversarial, and can be corrupted fairly easily.
It’s also becoming almost impossible to get jobs, unless you jump through crazy hoops, and don’t get me started on the silly whiteboard tests. It’s resulting in things like “leetcode bootcamps,” and consultants, that will help you to “optimize” your CV for scanning algos.
Background checks are almost certain to find something wrong; especially in this age of social media. I remember, a few years ago, when a teacher was fired, because she posted a Facebook picture of herself on vacation, with a drink in her hand[0], and there’s a prominent Canadian psychologist, permanently barred from the US, because he wrote an article, where he mentioned taking LSD, while in college, in the 1960s[1].
Also, politicians almost always have something in their past, that can be used in “oppo research.”
[0] https://www.dailymail.co.uk/news/article-1354515/Teacher-sac...
[1] https://www.wired.com/2007/04/canadian-psycho/