Why can't China code farmers beat Indian code farmers in Silicon Valley?

First of all, Indians have established a very perfect value regression system. From training to internal promotion, a mutually beneficial professional profit system has been formed. In the long run, the number of Indian engineers in the first-line companies in Silicon Valley is blowout, regardless of code ability or quality. This model is more popular in other industries in the United States. Many of the most basic jobs are occupied by Indian outsourcing companies, and the characteristics of "low price+easy use" make others and even American residents have nowhere to escape on the road to job hunting.

There is a saying that most Indians who draw lots in the United States have several jobs. China students managed to win a lottery ticket, but there were three or four employees in India ... That is to say, for Indians, no matter how bad their luck is, one person can win. Even if they don't win, there are other ways to keep them holding N places and continue to draw lots next year. ...

Because of this, the Trump administration should make great efforts to reform the policy of H 1B, curb ICC and outsourcing companies, and end their endless occupation of the US labor market.

Secondly, Indian programmers are fluent in English (except accent), which can help them gain greater advantages in interpersonal communication and interview. Many domestic programmers have excellent skills, but lack the experience of English description, and often regret losing …

On this premise, as long as Indians are trained and interviewed, they can rely on the dual advantages of interpersonal skills and English to exclude other competitors, including China programmers. But is this state eternal? Indian engineers can change the environment, but China farmers can't?

As mentioned above, the ecology can be changed. Some people are working hard for it, and some people are building a perfect, reliable and efficient ecosystem for China engineers working in the United States.