wrong. I have trained plenty of unsupervised models where the inferred results are purely for human consumption. In fact I believe unsupervised models more often require a human to analyze the results.
Whether an algorithm is supervised or not certainly does affect whether you need to retrain it periodically. Also it does not at all affect whether the output is fed to end users or to other algorithms