diff --git a/doc/source/whatsnew/v1.6.0.rst b/doc/source/whatsnew/v1.6.0.rst
index c393b8a57f805..5629c0729e76e 100644
--- a/doc/source/whatsnew/v1.6.0.rst
+++ b/doc/source/whatsnew/v1.6.0.rst
@@ -138,7 +138,7 @@ Numeric
 
 Conversion
 ^^^^^^^^^^
--
+- Bug in constructing :class:`Series` with ``int64`` dtype from a string list raising instead of casting (:issue:`44923`)
 -
 
 Strings
diff --git a/pandas/core/dtypes/cast.py b/pandas/core/dtypes/cast.py
index 4244217da7865..f543efe20bf3c 100644
--- a/pandas/core/dtypes/cast.py
+++ b/pandas/core/dtypes/cast.py
@@ -1851,6 +1851,11 @@ def maybe_cast_to_integer_array(
     # doesn't handle `uint64` correctly.
     arr = np.asarray(arr)
 
+    if np.issubdtype(arr.dtype, str):
+        if (casted.astype(str) == arr).all():
+            return casted
+        raise ValueError(f"string values cannot be losslessly cast to {dtype}")
+
     if is_unsigned_integer_dtype(dtype) and (arr < 0).any():
         raise OverflowError("Trying to coerce negative values to unsigned integers")
 
diff --git a/pandas/tests/series/test_constructors.py b/pandas/tests/series/test_constructors.py
index f79714ae6455c..9a42dd4d90f71 100644
--- a/pandas/tests/series/test_constructors.py
+++ b/pandas/tests/series/test_constructors.py
@@ -1880,6 +1880,19 @@ def test_constructor_bool_dtype_missing_values(self):
         expected = Series(True, index=[0], dtype="bool")
         tm.assert_series_equal(result, expected)
 
+    def test_constructor_int64_dtype(self, any_int_dtype):
+        # GH#44923
+        result = Series(["0", "1", "2"], dtype=any_int_dtype)
+        expected = Series([0, 1, 2], dtype=any_int_dtype)
+        tm.assert_series_equal(result, expected)
+
+    def test_constructor_raise_on_lossy_conversion_of_strings(self):
+        # GH#44923
+        with pytest.raises(
+            ValueError, match="string values cannot be losslessly cast to int8"
+        ):
+            Series(["128"], dtype="int8")
+
     def test_constructor_dtype_timedelta_alternative_construct(self):
         # GH#35465
         result = Series([1000000, 200000, 3000000], dtype="timedelta64[ns]")