diff --git a/doc/source/user_guide/boolean.rst b/doc/source/user_guide/boolean.rst
index 3c361d4de17e5..1998fb82ffd40 100644
--- a/doc/source/user_guide/boolean.rst
+++ b/doc/source/user_guide/boolean.rst
@@ -37,6 +37,16 @@ If you would prefer to keep the ``NA`` values you can manually fill them with ``
 
    s[mask.fillna(True)]
 
+Note that when creating a new column with only :attr:`pandas.NA` values,
+its dtype will be ``"object"``, since the value is also used for
+:ref:`nullable integers <integer_na>`.
+
+.. ipython:: python
+
+   df = pd.DataFrame()
+   df['objects'] = pd.NA
+   df.dtypes
+
 .. _boolean.kleene:
 
 Kleene logical operations
diff --git a/doc/source/user_guide/integer_na.rst b/doc/source/user_guide/integer_na.rst
index 1a727cd78af09..fdff02d20facd 100644
--- a/doc/source/user_guide/integer_na.rst
+++ b/doc/source/user_guide/integer_na.rst
@@ -84,6 +84,16 @@ with the dtype.
    In the future, we may provide an option for :class:`Series` to infer a
    nullable-integer dtype.
 
+Note that when creating a new column with only :attr:`pandas.NA` values,
+its dtype will be ``"object"``, since the value is also used for
+:ref:`booleans <booleans>`.
+
+.. ipython:: python
+
+   df = pd.DataFrame()
+   df['objects'] = pd.NA
+   df.dtypes
+
 Operations
 ----------