diff --git a/py-polars/tests/unit/io/test_lazy_csv.py b/py-polars/tests/unit/io/test_lazy_csv.py
index b99c32be3d28..1df38661b8c9 100644
--- a/py-polars/tests/unit/io/test_lazy_csv.py
+++ b/py-polars/tests/unit/io/test_lazy_csv.py
@@ -203,7 +203,7 @@ def test_lazy_row_count_no_push_down(foods_file_path: Path) -> None:
     # related to row count is not pushed.
     assert 'FILTER [(col("row_nr")) == (1)] FROM' in plan
     # unrelated to row count is pushed.
-    assert 'SELECTION: [(col("category")) == (Utf8(vegetables))]' in plan
+    assert 'SELECTION: [(col("category")) == (String(vegetables))]' in plan
 
 
 @pytest.mark.write_disk()
diff --git a/py-polars/tests/unit/operations/test_is_in.py b/py-polars/tests/unit/operations/test_is_in.py
index dc60cfc2f936..967dcf19dd51 100644
--- a/py-polars/tests/unit/operations/test_is_in.py
+++ b/py-polars/tests/unit/operations/test_is_in.py
@@ -141,7 +141,7 @@ def test_is_in_series() -> None:
 
     with pytest.raises(
         pl.InvalidOperationError,
-        match=r"`is_in` cannot check for Utf8 values in Int64 data",
+        match=r"`is_in` cannot check for String values in Int64 data",
     ):
         df.select(pl.col("b").is_in(["x", "x"]))
 
@@ -197,7 +197,7 @@ def test_is_in_float(dtype: pl.PolarsDataType) -> None:
         (
             pl.DataFrame({"a": ["1", "2"], "b": [[1, 2], [3, 4]]}),
             None,
-            r"`is_in` cannot check for Utf8 values in List\(Int64\) data",
+            r"`is_in` cannot check for String values in List\(Int64\) data",
         ),
         (
             pl.DataFrame({"a": [date.today(), None], "b": [[1, 2], [3, 4]]}),
diff --git a/py-polars/tests/unit/test_errors.py b/py-polars/tests/unit/test_errors.py
index 5e6dfb5fe1ae..520932f81faf 100644
--- a/py-polars/tests/unit/test_errors.py
+++ b/py-polars/tests/unit/test_errors.py
@@ -98,7 +98,9 @@ def test_not_found_error() -> None:
 
 
 def test_string_numeric_comp_err() -> None:
-    with pytest.raises(pl.ComputeError, match="cannot compare utf-8 with numeric data"):
+    with pytest.raises(
+        pl.ComputeError, match="cannot compare string with numeric data"
+    ):
         pl.DataFrame({"a": [1.1, 21, 31, 21, 51, 61, 71, 81]}).select(pl.col("a") < "9")
 
 
diff --git a/py-polars/tests/unit/test_exprs.py b/py-polars/tests/unit/test_exprs.py
index 23c4293f5ad2..e7643ce4598c 100644
--- a/py-polars/tests/unit/test_exprs.py
+++ b/py-polars/tests/unit/test_exprs.py
@@ -796,7 +796,7 @@ def test_repr_long_expression() -> None:
     result = repr(expr).split("0x")[0]
 
     # note the … denoting that there was truncated text
-    expected = "<Expr ['dtype_columns([Utf8]).str.coun…'] at "
+    expected = "<Expr ['dtype_columns([String]).str.co…'] at "
     assert result == expected
     assert repr(expr).endswith(">")
 
diff --git a/py-polars/tests/unit/test_serde.py b/py-polars/tests/unit/test_serde.py
index 6a733b791196..0183a2c272f6 100644
--- a/py-polars/tests/unit/test_serde.py
+++ b/py-polars/tests/unit/test_serde.py
@@ -133,7 +133,7 @@ def test_pickle_udf_expression() -> None:
     # tests that 'GetOutput' is also deserialized
     with pytest.raises(
         pl.SchemaError,
-        match=r"expected output type 'Utf8', got 'Int64'; set `return_dtype` to the proper datatype",
+        match=r"expected output type 'String', got 'Int64'; set `return_dtype` to the proper datatype",
     ):
         df.select(e)