Can a computer algorithm be a better predictor of a successful hire than a manager’s decision based on work history and a job interview? That’s what many companies and various software vendors are betting on. They are using complicated algorithms to sift through thousands of resumes to filter and recommend the most qualified candidates. They hope that they can cut the amount of time involved in traditional recruiting and make better-matched hires that avoid costly turnover.

In 2008, Zappos, an online footwear and clothing retailer, made headlines for asking its newly hired employees to quit, and offering money to tempt them to do it. Talk about a warm-welcome onboarding experience! Today Amazon, the online retailer that owns Zappos, is also asking its warehouse workers to quit. But not just their new workers; all of them, regardless of their performance level. Every year. And dangling up to $5,000 in front of them to encourage them do it.