diff --git a/numpy/_core/_exceptions.py b/numpy/_core/_exceptions.py
index 87d4213a6d42..01dbadf9f64a 100644
--- a/numpy/_core/_exceptions.py
+++ b/numpy/_core/_exceptions.py
@@ -38,26 +38,30 @@ def __init__(self, ufunc):
 @_display_as_base
 class _UFuncNoLoopError(UFuncTypeError):
     """ Thrown when a ufunc loop cannot be found """
-    def __init__(self, ufunc, dtypes):
+    def __init__(self, ufunc, dtypes, ambiguous_promoter):
         super().__init__(ufunc)
         self.dtypes = tuple(dtypes)
+        self.ambiguous_promoter = ambiguous_promoter
 
     def __str__(self):
-        return (
+        err = (
             "ufunc {!r} did not contain a loop with signature matching types "
-            "{!r} -> {!r}"
+            "{!r} -> {!r}."
         ).format(
             self.ufunc.__name__,
             _unpack_tuple(self.dtypes[:self.ufunc.nin]),
             _unpack_tuple(self.dtypes[self.ufunc.nin:])
         )
+        if self.ambiguous_promoter:
+            err += " (ambiguous promoters found)"
+        return err
 
 
 @_display_as_base
 class _UFuncBinaryResolutionError(_UFuncNoLoopError):
     """ Thrown when a binary resolution fails """
     def __init__(self, ufunc, dtypes):
-        super().__init__(ufunc, dtypes)
+        super().__init__(ufunc, dtypes, False)
         assert len(self.dtypes) == 2
 
     def __str__(self):
diff --git a/numpy/_core/src/umath/dispatching.c b/numpy/_core/src/umath/dispatching.c
index fbba26ea247b..289574fbdc13 100644
--- a/numpy/_core/src/umath/dispatching.c
+++ b/numpy/_core/src/umath/dispatching.c
@@ -447,14 +447,7 @@ resolve_implementation_info(PyUFuncObject *ufunc,
                 PyObject *given = PyArray_TupleFromItems(
                         ufunc->nargs, (PyObject **)op_dtypes, 1);
                 if (given != NULL) {
-                    PyErr_Format(PyExc_RuntimeError,
-                            "Could not find a loop for the inputs:\n    %S\n"
-                            "The two promoters %S and %S matched the input "
-                            "equally well.  Promoters must be designed "
-                            "to be unambiguous.  NOTE: This indicates an error "
-                            "in NumPy or an extending library and should be "
-                            "reported.",
-                            given, best_dtypes, curr_dtypes);
+                    raise_no_loop_found_error(ufunc, (PyObject **)op_dtypes, 1);
                     Py_DECREF(given);
                 }
                 *out_info = NULL;
@@ -1053,7 +1046,7 @@ promote_and_get_ufuncimpl(PyUFuncObject *ufunc,
   handle_error:
     /* We only set the "no loop found error here" */
     if (!PyErr_Occurred()) {
-        raise_no_loop_found_error(ufunc, (PyObject **)op_dtypes);
+        raise_no_loop_found_error(ufunc, (PyObject **)op_dtypes, 0);
     }
     /*
      * Otherwise an error occurred, but if the error was DTypePromotionError
@@ -1063,7 +1056,7 @@ promote_and_get_ufuncimpl(PyUFuncObject *ufunc,
     else if (PyErr_ExceptionMatches(npy_DTypePromotionError)) {
         PyObject *err_type = NULL, *err_value = NULL, *err_traceback = NULL;
         PyErr_Fetch(&err_type, &err_value, &err_traceback);
-        raise_no_loop_found_error(ufunc, (PyObject **)op_dtypes);
+        raise_no_loop_found_error(ufunc, (PyObject **)op_dtypes, 0);
         npy_PyErr_ChainExceptionsCause(err_type, err_value, err_traceback);
     }
     return NULL;
diff --git a/numpy/_core/src/umath/ufunc_type_resolution.c b/numpy/_core/src/umath/ufunc_type_resolution.c
index 4975d41147ea..2561ec39c7fc 100644
--- a/numpy/_core/src/umath/ufunc_type_resolution.c
+++ b/numpy/_core/src/umath/ufunc_type_resolution.c
@@ -106,7 +106,7 @@ raise_binary_type_reso_error(PyUFuncObject *ufunc, PyArrayObject **operands) {
  */
 NPY_NO_EXPORT int
 raise_no_loop_found_error(
-        PyUFuncObject *ufunc, PyObject **dtypes)
+        PyUFuncObject *ufunc, PyObject **dtypes, int ambiguous_promoter)
 {
     static PyObject *exc_type = NULL;
 
@@ -122,7 +122,8 @@ raise_no_loop_found_error(
         return -1;
     }
     /* produce an error object */
-    PyObject *exc_value = PyTuple_Pack(2, ufunc, dtypes_tup);
+    PyObject *exc_value = PyTuple_Pack(3, ufunc, dtypes_tup,
+                                       ambiguous_promoter ? Py_True : Py_False);
     Py_DECREF(dtypes_tup);
     if (exc_value == NULL) {
         return -1;
@@ -553,7 +554,7 @@ PyUFunc_SimpleUniformOperationTypeResolver(
                     out_dtypes[iop] = PyArray_DESCR(operands[iop]);
                     Py_INCREF(out_dtypes[iop]);
                 }
-                raise_no_loop_found_error(ufunc, (PyObject **)out_dtypes);
+                raise_no_loop_found_error(ufunc, (PyObject **)out_dtypes, 0);
                 for (iop = 0; iop < ufunc->nin; iop++) {
                     Py_DECREF(out_dtypes[iop]);
                     out_dtypes[iop] = NULL;
@@ -1578,7 +1579,7 @@ PyUFunc_DefaultLegacyInnerLoopSelector(PyUFuncObject *ufunc,
         types += nargs;
     }
 
-    return raise_no_loop_found_error(ufunc, (PyObject **)dtypes);
+    return raise_no_loop_found_error(ufunc, (PyObject **)dtypes, 0);
 }
 
 
diff --git a/numpy/_core/src/umath/ufunc_type_resolution.h b/numpy/_core/src/umath/ufunc_type_resolution.h
index 84a2593f44c4..a7937f1a4c06 100644
--- a/numpy/_core/src/umath/ufunc_type_resolution.h
+++ b/numpy/_core/src/umath/ufunc_type_resolution.h
@@ -140,6 +140,6 @@ PyUFunc_DefaultLegacyInnerLoopSelector(PyUFuncObject *ufunc,
                                        int *out_needs_api);
 
 NPY_NO_EXPORT int
-raise_no_loop_found_error(PyUFuncObject *ufunc, PyObject **dtypes);
+raise_no_loop_found_error(PyUFuncObject *ufunc, PyObject **dtypes, int ambiguous_promoter);
 
 #endif
diff --git a/numpy/_core/tests/test_stringdtype.py b/numpy/_core/tests/test_stringdtype.py
index de41506f653a..fef6d73982fc 100644
--- a/numpy/_core/tests/test_stringdtype.py
+++ b/numpy/_core/tests/test_stringdtype.py
@@ -765,6 +765,12 @@ def test_multiply_reduce():
     assert res == val * np.prod(repeats)
 
 
+def test_multiply_two_string_raises():
+    arr = np.array(["hello", "world"])
+    with pytest.raises(TypeError):
+        np.multiply(arr, arr)
+
+
 @pytest.mark.parametrize("use_out", [True, False])
 @pytest.mark.parametrize("other", [2, [2, 1, 3, 4, 1, 3]])
 @pytest.mark.parametrize(