diff --git a/pandas/_libs/lib.pyx b/pandas/_libs/lib.pyx
index cded299f77876..3b7d659c2150e 100644
--- a/pandas/_libs/lib.pyx
+++ b/pandas/_libs/lib.pyx
@@ -2,6 +2,7 @@ from collections import abc
 from decimal import Decimal
 from enum import Enum
 from sys import getsizeof
+from types import GenericAlias
 from typing import (
     Literal,
     _GenericAlias,
@@ -1298,7 +1299,7 @@ cdef bint c_is_list_like(object obj, bint allow_sets) except -1:
         getattr(obj, "__iter__", None) is not None and not isinstance(obj, type)
         # we do not count strings/unicode/bytes as list-like
         # exclude Generic types that have __iter__
-        and not isinstance(obj, (str, bytes, _GenericAlias))
+        and not isinstance(obj, (str, bytes, _GenericAlias, GenericAlias))
         # exclude zero-dimensional duck-arrays, effectively scalars
         and not (hasattr(obj, "ndim") and obj.ndim == 0)
         # exclude sets if allow_sets is False
diff --git a/pandas/tests/dtypes/test_inference.py b/pandas/tests/dtypes/test_inference.py
index db98751324ebc..7fd0395009adb 100644
--- a/pandas/tests/dtypes/test_inference.py
+++ b/pandas/tests/dtypes/test_inference.py
@@ -250,6 +250,15 @@ class MyDataFrame(DataFrame, Generic[T]): ...
     assert inference.is_list_like(tst)
 
 
+def test_is_list_like_native_container_types():
+    # GH 61565
+    # is_list_like was yielding false positives for native container types
+    assert not inference.is_list_like(list[int])
+    assert not inference.is_list_like(list[str])
+    assert not inference.is_list_like(tuple[int])
+    assert not inference.is_list_like(tuple[str])
+
+
 def test_is_sequence():
     is_seq = inference.is_sequence
     assert is_seq((1, 2))