diff --git a/doc/source/whatsnew/v3.0.0.rst b/doc/source/whatsnew/v3.0.0.rst
index 731406394ed46..eeabda282e85d 100644
--- a/doc/source/whatsnew/v3.0.0.rst
+++ b/doc/source/whatsnew/v3.0.0.rst
@@ -412,6 +412,7 @@ Numeric
 
 Conversion
 ^^^^^^^^^^
+- Bug in :class:`Series` constructor responsible for bad datetime to str dtype conversions in ``read_csv``. (:issue:`57512`)
 - Bug in :meth:`DataFrame.astype` not casting ``values`` for Arrow-based dictionary dtype correctly (:issue:`58479`)
 - Bug in :meth:`DataFrame.update` bool dtype being converted to object (:issue:`55509`)
 - Bug in :meth:`Series.astype` might modify read-only array inplace when casting to a string dtype (:issue:`57212`)
diff --git a/pandas/_libs/lib.pyx b/pandas/_libs/lib.pyx
index 83373cb4b1d9f..6cc70c91707c1 100644
--- a/pandas/_libs/lib.pyx
+++ b/pandas/_libs/lib.pyx
@@ -758,7 +758,8 @@ cpdef ndarray[object] ensure_string_array(
             # dtype check to exclude DataFrame
             # GH#41409 TODO: not a great place for this
             out = arr.astype(str).astype(object)
-            out[arr.isna()] = na_value
+            if convert_na_value:
+                out[arr.isna()] = na_value
             return out
         arr = arr.to_numpy(dtype=object)
     elif not util.is_array(arr):
diff --git a/pandas/core/construction.py b/pandas/core/construction.py
index f01d8822241c9..7c49b97a2b115 100644
--- a/pandas/core/construction.py
+++ b/pandas/core/construction.py
@@ -799,6 +799,7 @@ def _try_cast(
             shape = arr.shape
             if arr.ndim > 1:
                 arr = arr.ravel()
+            arr = ensure_wrapped_if_datetimelike(arr)
         else:
             shape = (len(arr),)
         return lib.ensure_string_array(arr, convert_na_value=False, copy=copy).reshape(
diff --git a/pandas/tests/series/test_constructors.py b/pandas/tests/series/test_constructors.py
index 3f9d5bbe806bb..2700e3964bdc4 100644
--- a/pandas/tests/series/test_constructors.py
+++ b/pandas/tests/series/test_constructors.py
@@ -79,6 +79,23 @@ def test_infer_with_date_and_datetime(self):
         expected = Index(vals, dtype=object)
         tm.assert_index_equal(idx, expected)
 
+    @pytest.mark.parametrize("dtype", ["M8[s]", "M8[ms]", "M8[us]", "M8[ns]"])
+    def test_constructor_str_object_dtypes_dt64_array(self, dtype):
+        # GH 57512
+        dt_arr = np.array(
+            [
+                "2024-01-03T00:00:00.000000000",
+                "2024-01-01T00:00:00.000000000",
+            ],
+            dtype=dtype,
+        )
+        result = Series(Series(dt_arr, dtype=str), dtype=dtype)
+        expected = Series(dt_arr, dtype=dtype)
+        tm.assert_series_equal(result, expected)
+
+        result = Series(Series(dt_arr, dtype=object), dtype=dtype)
+        tm.assert_series_equal(result, expected)
+
     def test_unparsable_strings_with_dt64_dtype(self):
         # pre-2.0 these would be silently ignored and come back with object dtype
         vals = ["aa"]