diff --git a/CHANGES.md b/CHANGES.md
index 950abc694488e..fce3aa26a72b7 100644
--- a/CHANGES.md
+++ b/CHANGES.md
@@ -83,6 +83,7 @@
 ## Bugfixes
 
 * Fixed incorrect service account impersonation flow for Python pipelines using BigQuery IOs ([#32030](https://github.com/apache/beam/issues/32030)).
+* Auto-disable broken and meaningless `upload_graph` feature when using Dataflow Runner V2 ([#32159](https://github.com/apache/beam/issues/32159)).
 
 ## Security Fixes
 * Fixed (CVE-YYYY-NNNN)[https://www.cve.org/CVERecord?id=CVE-YYYY-NNNN] (Java/Python/Go) ([#X](https://github.com/apache/beam/issues/X)).
@@ -116,6 +117,10 @@
 * [BigQueryIO] Fixed a bug in batch Storage Write API that frequently exhausted concurrent connections quota ([#31710](https://github.com/apache/beam/pull/31710))
 * Fixed a logging issue where Python worker dependency installation logs sometimes were not emitted in a timely manner ([#31977](https://github.com/apache/beam/pull/31977))
 
+## Known Issues
+
+* Large Dataflow graphs using runner v2, or pipelines explicitly enabling the `upload_graph` experiment, will fail at construction time ([#32159](https://github.com/apache/beam/issues/32159)).
+
 # [2.57.0] - 2024-06-26
 
 ## Highlights
@@ -167,6 +172,10 @@
   jackson-2.15 has known breaking changes. An important one is it imposed a buffer limit for parser.
   If your custom PTransform/DoFn are affected, refer to [#31580](https://github.com/apache/beam/pull/31580) for mitigation.
 
+## Known Issues
+
+* Large Dataflow graphs using runner v2, or pipelines explicitly enabling the `upload_graph` experiment, will fail at construction time ([#32159](https://github.com/apache/beam/issues/32159)).
+
 # [2.56.0] - 2024-05-01
 
 ## Highlights
@@ -202,6 +211,7 @@
 
 * The beam interactive runner does not correctly run on flink ([#31168](https://github.com/apache/beam/issues/31168)).
 * When using the Flink runner from Python, 1.17 is not supported and 1.12/13 do not work correctly. Support for 1.17 will be added in 2.57.0, and the ability to choose 1.12/13 will be cleaned up and fully removed in 2.57.0 as well ([#31168](https://github.com/apache/beam/issues/31168)).
+* Large Dataflow graphs using runner v2, or pipelines explicitly enabling the `upload_graph` experiment, will fail at construction time ([#32159](https://github.com/apache/beam/issues/32159)).
 
 # [2.55.1] - 2024-04-08
 
diff --git a/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java b/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
index 708c63413268a..abe7d0d364d3f 100644
--- a/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
+++ b/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
@@ -1385,7 +1385,8 @@ public DataflowPipelineJob run(Pipeline pipeline) {
     byte[] jobGraphBytes = DataflowPipelineTranslator.jobToString(newJob).getBytes(UTF_8);
     int jobGraphByteSize = jobGraphBytes.length;
     if (jobGraphByteSize >= CREATE_JOB_REQUEST_LIMIT_BYTES
-        && !hasExperiment(options, "upload_graph")) {
+        && !hasExperiment(options, "upload_graph")
+        && !useUnifiedWorker(options)) {
       List<String> experiments = firstNonNull(options.getExperiments(), Collections.emptyList());
       options.setExperiments(
           ImmutableList.<String>builder().addAll(experiments).add("upload_graph").build());
@@ -1396,6 +1397,15 @@ public DataflowPipelineJob run(Pipeline pipeline) {
           CREATE_JOB_REQUEST_LIMIT_BYTES);
     }
 
+    if (hasExperiment(options, "upload_graph") && useUnifiedWorker(options)) {
+      ArrayList<String> experiments = new ArrayList<>(options.getExperiments());
+      while (experiments.remove("upload_graph")) {}
+      options.setExperiments(experiments);
+      LOG.warn(
+          "The upload_graph experiment was specified, but it does not apply "
+              + "to runner v2 jobs. Option has been automatically removed.");
+    }
+
     // Upload the job to GCS and remove the graph object from the API call.  The graph
     // will be downloaded from GCS by the service.
     if (hasExperiment(options, "upload_graph")) {
diff --git a/runners/google-cloud-dataflow-java/src/test/java/org/apache/beam/runners/dataflow/DataflowRunnerTest.java b/runners/google-cloud-dataflow-java/src/test/java/org/apache/beam/runners/dataflow/DataflowRunnerTest.java
index cf1066e41d25e..37c20c61ad8e5 100644
--- a/runners/google-cloud-dataflow-java/src/test/java/org/apache/beam/runners/dataflow/DataflowRunnerTest.java
+++ b/runners/google-cloud-dataflow-java/src/test/java/org/apache/beam/runners/dataflow/DataflowRunnerTest.java
@@ -838,6 +838,19 @@ public void testUploadGraph() throws IOException {
             .startsWith("gs://valid-bucket/temp/staging/dataflow_graph"));
   }
 
+  @Test
+  public void testUploadGraphV2IsNoOp() throws IOException {
+    DataflowPipelineOptions options = buildPipelineOptions();
+    options.setExperiments(Arrays.asList("upload_graph", "use_runner_v2"));
+    Pipeline p = buildDataflowPipeline(options);
+    p.run();
+
+    ArgumentCaptor<Job> jobCaptor = ArgumentCaptor.forClass(Job.class);
+    Mockito.verify(mockJobs).create(eq(PROJECT_ID), eq(REGION_ID), jobCaptor.capture());
+    assertValidJob(jobCaptor.getValue());
+    assertNull(jobCaptor.getValue().getStepsLocation());
+  }
+
   /** Test for automatically using upload_graph when the job graph is too large (>10MB). */
   @Test
   public void testUploadGraphWithAutoUpload() throws IOException {