diff --git a/python/pyspark/pandas/data_type_ops/base.py b/python/pyspark/pandas/data_type_ops/base.py
index b4a6b1abbcaf9..3cde6a6d62781 100644
--- a/python/pyspark/pandas/data_type_ops/base.py
+++ b/python/pyspark/pandas/data_type_ops/base.py
@@ -52,6 +52,7 @@
     extension_object_dtypes_available,
     spark_type_to_pandas_dtype,
 )
+from pyspark.pandas.utils import is_ansi_mode_enabled
 
 if extension_dtypes_available:
     from pandas import Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype
@@ -189,7 +190,10 @@ def _as_other_type(index_ops: IndexOpsLike, dtype: Dtype, spark_type: DataType)
     )
     assert not need_pre_process, "Pre-processing is needed before the type casting."
 
-    scol = index_ops.spark.column.cast(spark_type)
+    if is_ansi_mode_enabled(index_ops._internal.spark_frame.sparkSession):
+        scol = index_ops.spark.column.try_cast(spark_type)
+    else:
+        scol = index_ops.spark.column.cast(spark_type)
     return index_ops._with_new_scol(scol, field=InternalField(dtype=dtype))
 
 
diff --git a/python/pyspark/pandas/tests/series/test_as_type.py b/python/pyspark/pandas/tests/series/test_as_type.py
index dfd66ee05d382..91d6a7f3b3013 100644
--- a/python/pyspark/pandas/tests/series/test_as_type.py
+++ b/python/pyspark/pandas/tests/series/test_as_type.py
@@ -53,6 +53,7 @@ def test_astype(self):
         self.assert_eq(psser.astype(bool), pser.astype(bool))
         self.assert_eq(psser.astype(str), pser.astype(str))
         self.assert_eq(psser.str.strip().astype(bool), pser.str.strip().astype(bool))
+        self.assert_eq(ps.Series(["abc"]).astype(int), pd.Series([float("nan")]))
 
         if extension_object_dtypes_available:
             from pandas import StringDtype