To play devil's advocate, without A/B testing a lot of decisions would be made with insufficient relevant data, and lead to subpar results that affect the many negatively form the road.

A lot of decisions made with A/B testing are also made with insufficient relevant data, but it's less obvious since it's easy to think the A/B results cover everything.