As the sample size $n$ of a sampling distribution of sample means increases, the distribution becomes more normal. But if $n$ were the same size as the (finite) population, the "sampling" distribution would consist of only one possible value, the mean.
So at what point does an increasing $n$ cause a sampling distribution to become less normal?