This argument would seem to assume that a frequentist is required to use maximum likelihood estimation for all problems.

If you remove that assumption, the distinction between Bayesian and frequentist methods becomes murkier. If you ultimately want a point estimate, you don't particularly care whether a method constructs a posterior distribution as an intermediate step.