diff --git a/doc/design.rst b/doc/design.rst
index 4a735a0..bb5d13b 100644
--- a/doc/design.rst
+++ b/doc/design.rst
@@ -74,7 +74,7 @@ engineer's behalf. The transformations are recorded on
 :math:`\rho_{ij}:\mathcal{T}[a_1]\times\mathcal{T}[a_2]\times\ldots\mapsto
 \mathcal{C}\left(\mathcal{T}[a_1]\times\mathcal{T}[a_2]\times\ldots\right)`,
 where, :math:`\mathcal{C}` is a mapping on the numeric data-types as provided
-by :func:`numpy.find_common_type`.
+by :func:`numpy.result_type`.
 
 
 The transformation writer prescribes the transformation space without making
diff --git a/src/feinsum/canonicalization.py b/src/feinsum/canonicalization.py
index 4bccf61..3dbf24f 100644
--- a/src/feinsum/canonicalization.py
+++ b/src/feinsum/canonicalization.py
@@ -322,7 +322,7 @@ def get_einsum_dag(einsum: FusedEinsum) -> Map[EinsumGraphNode,
             (frozenset(einsum.value_to_dtype[use] for use in uses)
              for uses in use_row),
             frozenset())
-        out_dtype = np.find_common_type(list(use_dtypes), [])
+        out_dtype = np.result_type(*use_dtypes)
         einsum_dag[dtype_to_node[out_dtype]].add(array_to_node[output_name])
 
     # }}}
diff --git a/src/feinsum/codegen/loopy.py b/src/feinsum/codegen/loopy.py
index a21c62d..39651be 100644
--- a/src/feinsum/codegen/loopy.py
+++ b/src/feinsum/codegen/loopy.py
@@ -175,9 +175,8 @@ def generate_loopy(einsum: FusedEinsum,
 
     for i_output in range(einsum.noutputs):
         arg_to_dtype: Dict[Argument, np.dtype[Any]] = {
-            EinsumOperand(ioperand): np.find_common_type({value_to_dtype[use]
-                                                          for use in uses},
-                                                         [])
+            EinsumOperand(ioperand): np.result_type(*{value_to_dtype[use]
+                                                      for use in uses})
             for ioperand, uses in enumerate(einsum
                                             .use_matrix[i_output])}
 
@@ -185,7 +184,7 @@ def generate_loopy(einsum: FusedEinsum,
                 zip(result_name_in_lpy_knl[i_output],
                     schedule.result_names,
                     schedule.arguments)):
-            dtype = np.find_common_type({arg_to_dtype[arg] for arg in args}, [])
+            dtype = np.result_type(*{arg_to_dtype[arg] for arg in args})
             value_to_dtype = value_to_dtype.set(name_in_lpy_knl, dtype)
             arg_to_dtype[IntermediateResult(name_in_feinsum)] = dtype
 
diff --git a/src/feinsum/tuning/impls/cogent.py b/src/feinsum/tuning/impls/cogent.py
index 75a9b9e..109baed 100644
--- a/src/feinsum/tuning/impls/cogent.py
+++ b/src/feinsum/tuning/impls/cogent.py
@@ -201,10 +201,9 @@ def transform(t_unit: lp.TranslationUnit,
 
     # Verify register file usage
     # --------------------------
-    if (rx or 1) * (ry or 1) * np.find_common_type(
-            [ensm.value_to_dtype[ensm_A],
-             ensm.value_to_dtype[ensm_B]],
-            []).itemsize > REG_FILE_SPACE_PER_WI:
+    if (rx or 1) * (ry or 1) * np.result_type(
+            ensm.value_to_dtype[ensm_A],
+            ensm.value_to_dtype[ensm_B]).itemsize > REG_FILE_SPACE_PER_WI:
         raise fnsm.InvalidParameterError("Exceeds register file limits")
 
     assert tx <= 32 and ty <= 32