diff --git a/Dockerfile.ci b/Dockerfile.ci
index e6f9964d84f81..6c62a61344bec 100644
--- a/Dockerfile.ci
+++ b/Dockerfile.ci
@@ -1117,14 +1117,11 @@ RUN echo "Airflow version: ${AIRFLOW_VERSION}"
 # force them on the main Airflow package. Currently we need no extra limits as PIP 23.1+ has much better
 # dependency resolution and we do not need to limit the versions of the dependencies
 #
-# Without grpcio-status limit, pip gets into very long backtracking
-# We should attempt to remove it in the future
-#
 # Aiobotocore is limited for eager upgrade because it either causes a long backtracking or
 # conflict when we do not limit it. It seems that `pip` has a hard time figuring the right
 # combination of dependencies for aiobotocore, botocore, boto3 and s3fs together
 #
-ARG EAGER_UPGRADE_ADDITIONAL_REQUIREMENTS="grpcio-status>=1.55.0 aiobotocore>=2.5.4"
+ARG EAGER_UPGRADE_ADDITIONAL_REQUIREMENTS="aiobotocore>=2.5.4"
 ARG UPGRADE_TO_NEWER_DEPENDENCIES="false"
 ARG VERSION_SUFFIX_FOR_PYPI=""
 
diff --git a/airflow/providers/apache/spark/provider.yaml b/airflow/providers/apache/spark/provider.yaml
index c48f2a6c4ba73..38ab0fac8c4d5 100644
--- a/airflow/providers/apache/spark/provider.yaml
+++ b/airflow/providers/apache/spark/provider.yaml
@@ -55,7 +55,7 @@ versions:
 dependencies:
   - apache-airflow>=2.6.0
   - pyspark
-  - grpcio-status
+  - grpcio-status>=1.59.0
 
 integrations:
   - integration-name: Apache Spark
diff --git a/generated/provider_dependencies.json b/generated/provider_dependencies.json
index 0366b3ebab8e1..aa4274e41edbd 100644
--- a/generated/provider_dependencies.json
+++ b/generated/provider_dependencies.json
@@ -206,7 +206,7 @@
   "apache.spark": {
     "deps": [
       "apache-airflow>=2.6.0",
-      "grpcio-status",
+      "grpcio-status>=1.59.0",
       "pyspark"
     ],
     "cross-providers-deps": [