Traditional A/B testing has very poor ergonomics. Experimenters are usually put in awkward conflict-of-interest situations that create multiple strong incentives not to perform rigorous, disciplined, valid experiments.

Null hypothesis significance testing is fundamentally misaligned with business needs and is not a good tool for businesses. This is true in many fields of science as well, but at least they have some mechanisms that try to ensure that experiments are unbiased. Businesses often don't have the same internal and external incentives that lead to those mechanisms, and so NHST is abused even more.