diff --git a/python/cudf/cudf/_lib/scalar.pyx b/python/cudf/cudf/_lib/scalar.pyx
index 2717c361b98..c54db8793e9 100644
--- a/python/cudf/cudf/_lib/scalar.pyx
+++ b/python/cudf/cudf/_lib/scalar.pyx
@@ -338,5 +338,17 @@ def _create_proxy_nat_scalar(dtype):
         elif dtype.type == np.timedelta64:
             _set_timedelta64_from_np_scalar(result.c_value.c_obj, nat, dtype, True)
         return result
+
+        # TODO: It should be able to reimplement the above with pylibcudf.
+        # Currently this doesn't quite seem to work, though, apparently because
+        # we need a way to create NaT _valid_ scalars but ingesting from
+        # pyarrow automatically sets them to invalid. Merely setting to valid
+        # after the fact is insufficient because the underlying memory appears
+        # to not be initialized.
+        # nat = pa.scalar(dtype.type('NaT').astype(dtype))
+        # result.c_value = pylibcudf.Scalar.from_pyarrow_scalar(nat)
+        # result.c_value.c_obj.get().set_valid_async(True)
+        # result._dtype = dtype
+        # return result
     else:
         raise TypeError('NAT only valid for datetime and timedelta')