diff --git a/samples/prediction/README b/samples/prediction/README
index b0a37b834a4..95891bb5b14 100644
--- a/samples/prediction/README
+++ b/samples/prediction/README
@@ -1,7 +1,7 @@
 Before you can run the prediction sample prediction.py, you must load some csv
 formatted data into Google Storage. You can do this by running setup.sh with a
 bucket/object name of your choice. You must first create the bucket you want
-to use. This can be done with the gsutil function or via the web UI (Storage
+to use. This can be done with gcloud storage or via the web UI (Storage
 Access) in the Google APIs Console.
 
 api: prediction
diff --git a/samples/prediction/setup.sh b/samples/prediction/setup.sh
index a5b1f47fab3..a88237ddabf 100755
--- a/samples/prediction/setup.sh
+++ b/samples/prediction/setup.sh
@@ -14,4 +14,4 @@
 #     can be downloaded from https://code.google.com/apis/storage/docs/gsutil.html
 FILE_NAME=$1
 OBJECT_NAME=$2
-gsutil cp $FILE_NAME gs://$OBJECT_NAME
+gcloud storage cp $FILE_NAME gs://$OBJECT_NAME