diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 56001fabfdc9d..30646cea706e5 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -12500,6 +12500,7 @@ def _inplace_method(self, other, op) -> Self:
             and result._indexed_same(self)
             and result.dtype == self.dtype
             and not using_copy_on_write()
+            and not (warn_copy_on_write() and not warn)
         ):
             # GH#36498 this inplace op can _actually_ be inplace.
             # Item "ArrayManager" of "Union[ArrayManager, SingleArrayManager,
diff --git a/pandas/tests/frame/methods/test_quantile.py b/pandas/tests/frame/methods/test_quantile.py
index 787b77a5c725a..0f27eae1a3bfc 100644
--- a/pandas/tests/frame/methods/test_quantile.py
+++ b/pandas/tests/frame/methods/test_quantile.py
@@ -110,8 +110,6 @@ def test_non_numeric_exclusion(self, interp_method, request, using_array_manager
             request.applymarker(pytest.mark.xfail(reason="Axis name incorrectly set."))
         tm.assert_series_equal(rs, xp)
 
-    # TODO(CoW-warn) should not need to warn
-    @pytest.mark.filterwarnings("ignore:Setting a value on a view:FutureWarning")
     def test_axis(self, interp_method, request, using_array_manager):
         # axis
         interpolation, method = interp_method
diff --git a/pandas/tests/groupby/test_groupby.py b/pandas/tests/groupby/test_groupby.py
index 5b17484de9c93..3c6419ab86494 100644
--- a/pandas/tests/groupby/test_groupby.py
+++ b/pandas/tests/groupby/test_groupby.py
@@ -41,8 +41,6 @@ def test_repr():
     assert result == expected
 
 
-# TODO(CoW-warn) this should NOT warn -> inplace operator triggers it
-@pytest.mark.filterwarnings("ignore:Setting a value on a view:FutureWarning")
 def test_groupby_std_datetimelike(warn_copy_on_write):
     # GH#48481
     tdi = pd.timedelta_range("1 Day", periods=10000)
diff --git a/pandas/tests/indexing/test_chaining_and_caching.py b/pandas/tests/indexing/test_chaining_and_caching.py
index bf0975a803dce..a0ece7cd72cd8 100644
--- a/pandas/tests/indexing/test_chaining_and_caching.py
+++ b/pandas/tests/indexing/test_chaining_and_caching.py
@@ -121,11 +121,7 @@ def test_setitem_cache_updating_slices(
 
         out = DataFrame({"A": [0, 0, 0]}, index=date_range("5/7/2014", "5/9/2014"))
         for ix, row in df.iterrows():
-            # TODO(CoW-warn) should not warn
-            with tm.assert_produces_warning(
-                FutureWarning if warn_copy_on_write else None
-            ):
-                out.loc[six:eix, row["C"]] += row["D"]
+            out.loc[six:eix, row["C"]] += row["D"]
 
         tm.assert_frame_equal(out, expected)
         tm.assert_series_equal(out["A"], expected["A"])
diff --git a/pandas/tests/indexing/test_iloc.py b/pandas/tests/indexing/test_iloc.py
index baf2cdae43fe4..31263b44ed205 100644
--- a/pandas/tests/indexing/test_iloc.py
+++ b/pandas/tests/indexing/test_iloc.py
@@ -426,9 +426,7 @@ def test_iloc_getitem_slice_dups(self):
         tm.assert_frame_equal(df.iloc[10:, :2], df2)
         tm.assert_frame_equal(df.iloc[10:, 2:], df1)
 
-    # TODO(CoW-warn) this should NOT warn -> Series inplace operator
-    @pytest.mark.filterwarnings("ignore:Setting a value on a view:FutureWarning")
-    def test_iloc_setitem(self):
+    def test_iloc_setitem(self, warn_copy_on_write):
         df = DataFrame(
             np.random.default_rng(2).standard_normal((4, 4)),
             index=np.arange(0, 8, 2),
@@ -1147,7 +1145,7 @@ def test_iloc_getitem_with_duplicates2(self):
         expected = df.take([0], axis=1)
         tm.assert_frame_equal(result, expected)
 
-    def test_iloc_interval(self, warn_copy_on_write):
+    def test_iloc_interval(self):
         # GH#17130
         df = DataFrame({Interval(1, 2): [1, 2]})
 
@@ -1160,9 +1158,7 @@ def test_iloc_interval(self, warn_copy_on_write):
         tm.assert_series_equal(result, expected)
 
         result = df.copy()
-        # TODO(CoW-warn) false positive
-        with tm.assert_cow_warning(warn_copy_on_write):
-            result.iloc[:, 0] += 1
+        result.iloc[:, 0] += 1
         expected = DataFrame({Interval(1, 2): [2, 3]})
         tm.assert_frame_equal(result, expected)