diff --git a/torchao/float8/README.md b/torchao/float8/README.md
index 8487096e6c..ddc717f953 100644
--- a/torchao/float8/README.md
+++ b/torchao/float8/README.md
@@ -65,6 +65,8 @@ for _ in range(10):
 
 ## float8 linear with delayed scaling
 
+:warning: <em>We plan to deprecate delayed scaling in a future release, see /~https://github.com/pytorch/ao/issues/1680 for more details.</em>
+
 This is theoretically the most performant recipe as it minimizes memory reads.
 
 ```python
diff --git a/torchao/float8/config.py b/torchao/float8/config.py
index c7f32cd3fa..fb306e0fb7 100644
--- a/torchao/float8/config.py
+++ b/torchao/float8/config.py
@@ -304,6 +304,16 @@ def __post_init__(self):
                 "When using FSDP, it's recommended to enable config.force_recompute_fp8_weight_in_bwd."
             )
 
+        # Future deprecation warning for delayed scaling
+        if (
+            self.cast_config_input.scaling_type != ScalingType.DYNAMIC
+            or self.cast_config_weight.scaling_type != ScalingType.DYNAMIC
+            or self.cast_config_grad_output.scaling_type != ScalingType.DYNAMIC
+        ):
+            logger.warning(
+                "Note: delayed and static scaling will be deprecated in a future release of torchao. Please see /~https://github.com/pytorch/ao/issues/1680 for more details."
+            )
+
 
 # Pre-made recipes for common configurations
 # TODO(future PR): go through a round of design on this, and eventually expose