diff --git a/CHANGELOG.md b/CHANGELOG.md
index bb50d4902..c1575fbb1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,16 +11,18 @@ Remember to align the itemized text with the first line of an item within a list
 * Deprecations
   * The following APIs have been removed after a 3 month deprecation period, in
     accordance with the {ref}`api-compatibility` policy:
-    - `jax.experimental.PartitionSpec`: use `jax.sharding.PartitionSpec`.
-    - `jax.experimental.maps.Mesh`: use `jax.sharding.Mesh`
-    - `jax.experimental.pjit.NamedSharding`: use `jax.sharding.NamedSharding`.
-    - `jax.experimental.pjit.PartitionSpec`: use `jax.sharding.PartitionSpec`.
-    - `jax.experimental.pjit.FROM_GDA`. Instead pass sharded `jax.Array` objects
+    * `jax.experimental.PartitionSpec`: use `jax.sharding.PartitionSpec`.
+    * `jax.experimental.maps.Mesh`: use `jax.sharding.Mesh`
+    * `jax.experimental.pjit.NamedSharding`: use `jax.sharding.NamedSharding`.
+    * `jax.experimental.pjit.PartitionSpec`: use `jax.sharding.PartitionSpec`.
+    * `jax.experimental.pjit.FROM_GDA`. Instead pass sharded `jax.Array` objects
       as input and remove the optional `in_shardings` argument to `pjit`.
-    - `jax.interpreters.pxla.PartitionSpec`: use `jax.sharding.PartitionSpec`.
-    - `jax.interpreters.pxla.Mesh`: use `jax.sharding.Mesh`
-    - `jax.interpreters.xla.Device`: use `jax.Device`.
-    - `jax.interpreters.xla.DeviceArray`: use `jax.Array` instead,
+    * `jax.interpreters.pxla.PartitionSpec`: use `jax.sharding.PartitionSpec`.
+    * `jax.interpreters.pxla.Mesh`: use `jax.sharding.Mesh`
+    * `jax.interpreters.xla.Device`: use `jax.Device`.
+    * `jax.interpreters.xla.DeviceArray`: use `jax.Array` instead
+    * `axis_resources` argument of `with_sharding_constraint` is removed. Please
+      use `shardings` instead.
 
 
 ## jaxlib 0.4.11
diff --git a/jax/_src/pjit.py b/jax/_src/pjit.py
index 337d44d12..d360631bc 100644
--- a/jax/_src/pjit.py
+++ b/jax/_src/pjit.py
@@ -1786,32 +1786,7 @@ core.pp_eqn_rules[pjit_p] = _pjit_pp_rule
 
 # -------------------- with_sharding_constraint --------------------
 
-def _resolve_wsc_args(axis_resources, shardings):
-  if not is_unspecified(axis_resources) and not is_unspecified(shardings):
-    raise ValueError(
-        'Setting both axis_resources and shardings is not '
-        'allowed. axis_resources is deprecated. Please use shardings.')
-  if is_unspecified(axis_resources) and is_unspecified(shardings):
-    raise ValueError(
-        'Not specifying shardings to `with_sharding_constraint` is not allowed. '
-        'Please specify the shardings argument with a concrete sharding. Note '
-        'that axis_resources is deprecated, so use the shardings argument.')
-
-  if not is_unspecified(axis_resources):
-    warnings.warn(
-        'axis_resources is deprecated. Please use shardings argument instead.',
-        DeprecationWarning)
-    final_shardings = axis_resources
-  else:
-    final_shardings = shardings
-  return final_shardings
-
-
-# TODO(yashkatariya): Remove the axis_resources argument and make the signature
-# `with_sharding_constraint(x, shardings)` with no defaults after deprecation
-# period is finished. The deprecation period expires 3 months from Feb 13, 2023.
-def with_sharding_constraint(x, shardings=UNSPECIFIED,
-                             axis_resources=UNSPECIFIED):
+def with_sharding_constraint(x, shardings):
   """Mechanism to constrain the sharding of an Array inside a jitted computation
 
   This is a strict constraint for the GSPMD partitioner and not a hint. For examples
@@ -1821,17 +1796,15 @@ def with_sharding_constraint(x, shardings=UNSPECIFIED,
     x: PyTree of jax.Arrays which will have their shardings constrainted
     shardings: PyTree of sharding specifications. Valid values are the same as for
       the ``in_shardings`` argument of :func:`jax.experimental.pjit`.
-    axis_resources: (deprecated) use shardings instead.
   Returns:
     x_with_shardings: PyTree of jax.Arrays with specified sharding constraints.
 
   .. _Distributed arrays and automatic parallelization: https://jax.readthedocs.io/en/latest/notebooks/Distributed_arrays_and_automatic_parallelization.html
   """
-  final_shardings = _resolve_wsc_args(axis_resources, shardings)
   x_flat, tree = tree_flatten(x)
   user_shardings, _, _ = prepare_axis_resources(
-      final_shardings, "shardings", allow_unconstrained_dims=True)
-  del final_shardings
+      shardings, "shardings", allow_unconstrained_dims=True)
+  del shardings
 
   user_shardings_flat = tuple(
       flatten_axes("with_sharding_constraint shardings", tree, user_shardings))
diff --git a/tests/pjit_test.py b/tests/pjit_test.py
index c6e09ff06..1503a791d 100644
--- a/tests/pjit_test.py
+++ b/tests/pjit_test.py
@@ -2953,19 +2953,6 @@ class ArrayPjitTest(jtu.JaxTestCase):
         "Setting both out_shardings and out_axis_resources is not allowed"):
       pjit(lambda x: x, out_shardings=P('x'), out_axis_resources=P('x'))
 
-  def test_set_none_wsc_axis_resources_and_shardings(self):
-    with self.assertRaisesRegex(
-        ValueError,
-        "Not specifying shardings to `with_sharding_constraint` is not allowed."):
-      pjit(jax.lax.with_sharding_constraint(jnp.arange(8)))
-
-  def test_set_both_wsc_axis_resources_and_shardings(self):
-    with self.assertRaisesRegex(
-        ValueError,
-        "Setting both axis_resources and shardings is not allowed"):
-      pjit(jax.lax.with_sharding_constraint(
-          jnp.arange(8), axis_resources=P('x'), shardings=P('x')))
-
   def test_with_sharding_constraint_spmd_axis_name(self):
     mesh = jtu.create_global_mesh((2, 2, 2), ('replica', 'data', 'mdl'))
     shape = (8, 4, 2, 2)