Most companies, in my experience, want tools that are easy to get right in 80% of cases, and in 20% of cases require experts. Go has the benefit of most benign work is deadass simple to get right. The things you referenced in your post are obviously the remaining 20%.

Rust, as an example, is a pretty difficult language to become productive in. Sure, once you've invested the time, you're equipped to handle a wider array of problems, but most organizations don't particularly care about the top. They care about becoming relatively productive relatively quickly.

Go's approach to certain problems require expertise, it is not a silver bullet. But there are no silver bullets, and the examples you gave require expertise in any language. The issue is that you've kind of just cherry picked those three concepts as proof of complexity, ignoring the boatloads of other examples in which Go's simplicity does add value.