diff --git a/cosmos/operators/watcher.py b/cosmos/operators/watcher.py
index 06fdb151ea..ca1e475485 100644
--- a/cosmos/operators/watcher.py
+++ b/cosmos/operators/watcher.py
@@ -6,6 +6,7 @@
 import zlib
 from datetime import timedelta
 from pathlib import Path
+from threading import Lock
 from typing import TYPE_CHECKING, Any, Callable, List, Union
 
 import airflow
@@ -14,7 +15,9 @@
 if TYPE_CHECKING:  # pragma: no cover
     try:
         from airflow.sdk.definitions.context import Context
+        from airflow.sdk.types import RuntimeTaskInstanceProtocol as TaskInstance
     except ImportError:
+        from airflow.models.taskinstance import TaskInstance  # type: ignore[assignment]
         from airflow.utils.context import Context  # type: ignore[attr-defined]
 
 try:
@@ -50,13 +53,25 @@
     EventMsg = None
 
 logger = logging.getLogger(__name__)
-
+xcom_set_lock = Lock()
 
 CONSUMER_OPERATOR_DEFAULT_PRIORITY_WEIGHT = 10
 PRODUCER_OPERATOR_DEFAULT_PRIORITY_WEIGHT = 9999
 WEIGHT_RULE = "absolute"  # the default "downstream" does not work with dag.test()
 
 
+def safe_xcom_push(task_instance: TaskInstance, key: str, value: Any) -> None:
+    """
+    Safely set an XCom value in a thread-safe manner in Airflow 3.0 and 3.1.
+    We noticed that the combination of using dbt (multi-threaded) and Airflow 3.0 and 3.1 to set XCom lead to race conditions.
+    This leads the producer task to get stuck while running the dbt build command.
+    Unfortunately, since this is non-deterministic, and happens once every five runs, we were not able to have a proper test.
+    However, we applied this fix and run over 20 times a pipeline that would fail every 5 runs and this allowed us to no longer face the issue.
+    """
+    with xcom_set_lock:
+        task_instance.xcom_push(key=key, value=value)
+
+
 class DbtProducerWatcherOperator(DbtLocalBaseOperator):
     """Run dbt build and update XCom with the progress of each model, as part of the *WATCHER* execution mode.
 
@@ -145,24 +160,21 @@ def _handle_node_finished(
         context: Context,
     ) -> None:
         logger.debug("DbtProducerWatcherOperator: handling node finished event: %s", event_message)
-        ti = context["ti"]
         uid = event_message.data.node_info.unique_id
         event_message_dict = self._serialize_event(event_message)
         compiled_sql = self._extract_compiled_sql_for_node_event(event_message)
         if compiled_sql:
             event_message_dict["compiled_sql"] = compiled_sql
         payload = base64.b64encode(zlib.compress(json.dumps(event_message_dict).encode())).decode()
-        ti.xcom_push(key=f"nodefinished_{uid.replace('.', '__')}", value=payload)
+        safe_xcom_push(task_instance=context["ti"], key=f"nodefinished_{uid.replace('.', '__')}", value=payload)
 
     def _finalize(self, context: Context, startup_events: list[dict[str, Any]]) -> None:
-        ti = context["ti"]
         # Only push startup events; per-model statuses are available via individual nodefinished_<uid> entries.
         if startup_events:
-            ti.xcom_push(key="dbt_startup_events", value=startup_events)
+            safe_xcom_push(task_instance=context["ti"], key="dbt_startup_events", value=startup_events)
 
     def _store_producer_task_state(self, context: Context) -> None:
-        ti = context["ti"]
-        ti.xcom_push(key="state", value="failed")
+        safe_xcom_push(task_instance=context["ti"], key="state", value="failed")
 
     def execute(self, context: Context, **kwargs: Any) -> Any:
         try:
@@ -193,11 +205,11 @@ def _callback(event_message: EventMsg) -> None:
                 kwargs["push_run_results_to_xcom"] = True
                 return_value = super().execute(context=context, **kwargs)
 
-            context["ti"].xcom_push(key="task_status", value="completed")
+            safe_xcom_push(task_instance=context["ti"], key="task_status", value="completed")
             return return_value
 
         except Exception:
-            context["ti"].xcom_push(key="task_status", value="completed")
+            safe_xcom_push(task_instance=context["ti"], key="task_status", value="completed")
             raise