AutoML vs Cross validation

Can someone explain when it is better to use AutoML and when it is better to use cross validation?

It looks that documentation is missing this information.

https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/how-to-use-the-automl-api
https://learn.microsoft.com/en-us/dotnet/machine-learning/how-to-guides/train-machine-learning-model-cross-validation-ml-net

Do you know if AutoML also executes cross validation?