diff --git a/pandas/core/arrays/datetimelike.py b/pandas/core/arrays/datetimelike.py
index 50fecc96f8186..d5e654c95577e 100644
--- a/pandas/core/arrays/datetimelike.py
+++ b/pandas/core/arrays/datetimelike.py
@@ -1778,7 +1778,7 @@ def strftime(self, date_format: str) -> npt.NDArray[np.object_]:
         >>> rng.strftime("%%B %%d, %%Y, %%r")
         Index(['March 10, 2018, 09:00:00 AM', 'March 10, 2018, 09:00:01 AM',
                'March 10, 2018, 09:00:02 AM'],
-              dtype='object')
+              dtype='str')
         """
         result = self._format_native_types(date_format=date_format, na_rep=np.nan)
         if using_string_dtype():
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index b31c543188282..57c138d9828bd 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -1308,14 +1308,14 @@ def month_name(self, locale=None) -> npt.NDArray[np.object_]:
         0     January
         1    February
         2       March
-        dtype: object
+        dtype: str
 
         >>> idx = pd.date_range(start="2018-01", freq="ME", periods=3)
         >>> idx
         DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31'],
                       dtype='datetime64[ns]', freq='ME')
         >>> idx.month_name()
-        Index(['January', 'February', 'March'], dtype='object')
+        Index(['January', 'February', 'March'], dtype='str')
 
         Using the ``locale`` parameter you can set a different locale language,
         for example: ``idx.month_name(locale='pt_BR.utf8')`` will return month
@@ -1326,7 +1326,7 @@ def month_name(self, locale=None) -> npt.NDArray[np.object_]:
         DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31'],
                       dtype='datetime64[ns]', freq='ME')
         >>> idx.month_name(locale="pt_BR.utf8")  # doctest: +SKIP
-        Index(['Janeiro', 'Fevereiro', 'Março'], dtype='object')
+        Index(['Janeiro', 'Fevereiro', 'Março'], dtype='str')
         """
         values = self._local_timestamps()
 
@@ -1376,14 +1376,14 @@ def day_name(self, locale=None) -> npt.NDArray[np.object_]:
         0       Monday
         1      Tuesday
         2    Wednesday
-        dtype: object
+        dtype: str
 
         >>> idx = pd.date_range(start="2018-01-01", freq="D", periods=3)
         >>> idx
         DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03'],
                       dtype='datetime64[ns]', freq='D')
         >>> idx.day_name()
-        Index(['Monday', 'Tuesday', 'Wednesday'], dtype='object')
+        Index(['Monday', 'Tuesday', 'Wednesday'], dtype='str')
 
         Using the ``locale`` parameter you can set a different locale language,
         for example: ``idx.day_name(locale='pt_BR.utf8')`` will return day
@@ -1394,7 +1394,7 @@ def day_name(self, locale=None) -> npt.NDArray[np.object_]:
         DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03'],
                       dtype='datetime64[ns]', freq='D')
         >>> idx.day_name(locale="pt_BR.utf8")  # doctest: +SKIP
-        Index(['Segunda', 'Terça', 'Quarta'], dtype='object')
+        Index(['Segunda', 'Terça', 'Quarta'], dtype='str')
         """
         values = self._local_timestamps()
 
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 3efd601545212..e8c5a03a6de50 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -1209,7 +1209,7 @@ def astype(self, dtype: Dtype, copy: bool = True):
         --------
         >>> idx = pd.Index(['a', 'b', 'c'])
         >>> idx.take([2, 2, 1, 2])
-        Index(['c', 'c', 'b', 'c'], dtype='object')
+        Index(['c', 'c', 'b', 'c'], dtype='str')
         """
 
     @Appender(_index_shared_docs["take"] % _index_doc_kwargs)
@@ -6862,11 +6862,11 @@ def delete(
         --------
         >>> idx = pd.Index(["a", "b", "c"])
         >>> idx.delete(1)
-        Index(['a', 'c'], dtype='object')
+        Index(['a', 'c'], dtype='str')
 
         >>> idx = pd.Index(["a", "b", "c"])
         >>> idx.delete([0, 2])
-        Index(['b'], dtype='object')
+        Index(['b'], dtype='str')
         """
         values = self._values
         res_values: ArrayLike
@@ -6906,7 +6906,7 @@ def insert(self, loc: int, item) -> Index:
         --------
         >>> idx = pd.Index(["a", "b", "c"])
         >>> idx.insert(1, "x")
-        Index(['a', 'x', 'b', 'c'], dtype='object')
+        Index(['a', 'x', 'b', 'c'], dtype='str')
         """
         item = lib.item_from_zerodim(item)
         if is_valid_na_for_dtype(item, self.dtype) and self.dtype != object: