BUG: inconsistency between frame.any/all with dt64 vs dt64tz

doc/source/whatsnew/v1.2.1.rst

@@ -17,6 +17,7 @@ Fixed regressions
 - The deprecated attributes ``_AXIS_NAMES`` and ``_AXIS_NUMBERS`` of :class:`DataFrame` and :class:`Series` will no longer show up in ``dir`` or ``inspect.getmembers`` calls (:issue:`38740`)
 - :meth:`to_csv` created corrupted zip files when there were more rows than ``chunksize`` (issue:`38714`)
 - Bug in repr of float-like strings of an ``object`` dtype having trailing 0's truncated after the decimal (:issue:`38708`)
+- Bug in :meth:`DataFrame.any` and :meth:`DataFrame.all` behaving differently for tznaive vs tzaware ``datetime64`` dtypes (:issue:`38723`)
 -
 
 .. ---------------------------------------------------------------------------

pandas/core/arrays/datetimelike.py

@@ -1640,6 +1640,17 @@ def floor(self, freq, ambiguous="raise", nonexistent="raise"):
     def ceil(self, freq, ambiguous="raise", nonexistent="raise"):
         return self._round(freq, RoundTo.PLUS_INFTY, ambiguous, nonexistent)
 
+    # --------------------------------------------------------------
+    # Reductions
+
+    def any(self, *, axis: Optional[int] = None, skipna: bool = True):
+        # GH#34479 discussion of desired behavior long-term
+        return nanops.nanany(self._ndarray, axis=axis, skipna=skipna, mask=self.isna())
+
+    def all(self, *, axis: Optional[int] = None, skipna: bool = True):
+        # GH#34479 discussion of desired behavior long-term
+        return nanops.nanall(self._ndarray, axis=axis, skipna=skipna, mask=self.isna())
+
     # --------------------------------------------------------------
     # Frequency Methods
 

pandas/tests/frame/test_reductions.py

@@ -1091,9 +1091,13 @@ def test_any_all_bool_only(self):
             (np.all, {"A": Series([0, 1], dtype=int)}, False),
             (np.any, {"A": Series([0, 1], dtype=int)}, True),
             pytest.param(np.all, {"A": Series([0, 1], dtype="M8[ns]")}, False),
+            pytest.param(np.all, {"A": Series([0, 1], dtype="M8[ns, UTC]")}, False),
             pytest.param(np.any, {"A": Series([0, 1], dtype="M8[ns]")}, True),
+            pytest.param(np.any, {"A": Series([0, 1], dtype="M8[ns, UTC]")}, True),
             pytest.param(np.all, {"A": Series([1, 2], dtype="M8[ns]")}, True),
+            pytest.param(np.all, {"A": Series([1, 2], dtype="M8[ns, UTC]")}, True),
             pytest.param(np.any, {"A": Series([1, 2], dtype="M8[ns]")}, True),
+            pytest.param(np.any, {"A": Series([1, 2], dtype="M8[ns, UTC]")}, True),
             pytest.param(np.all, {"A": Series([0, 1], dtype="m8[ns]")}, False),
             pytest.param(np.any, {"A": Series([0, 1], dtype="m8[ns]")}, True),
             pytest.param(np.all, {"A": Series([1, 2], dtype="m8[ns]")}, True),