diff --git a/dataframely/schema.py b/dataframely/schema.py
index b64f061..8cf787c 100644
--- a/dataframely/schema.py
+++ b/dataframely/schema.py
@@ -38,6 +38,7 @@
     ParquetStorageBackend,
 )
 from ._typing import DataFrame, LazyFrame, Validation
+from .columns import Any as AnyColumn
 from .columns import Column, column_from_dict
 from .config import Config
 from .exc import (
@@ -814,7 +815,9 @@ def cast(
             further down the line might fail because of the cast and/or missing columns.
         """
         lf = df.lazy().select(
-            pl.col(name).cast(col.dtype) for name, col in cls.columns().items()
+            # Skip casting for Any columns since they accept any type
+            pl.col(name) if isinstance(col, AnyColumn) else pl.col(name).cast(col.dtype)
+            for name, col in cls.columns().items()
         )
         if isinstance(df, pl.DataFrame):
             return lf.collect()  # type: ignore
diff --git a/tests/column_types/test_any.py b/tests/column_types/test_any.py
index 4668df8..5c00180 100644
--- a/tests/column_types/test_any.py
+++ b/tests/column_types/test_any.py
@@ -20,3 +20,9 @@ class AnySchema(dy.Schema):
 def test_any_dtype_passes(data: dict[str, Any]) -> None:
     df = pl.DataFrame(data)
     assert AnySchema.is_valid(df)
+
+
+def test_any_cast() -> None:
+    df = pl.DataFrame({"a": 0})
+    result = AnySchema.cast(df)
+    assert result["a"].dtype == pl.Int64