diff --git a/src/muse/sectors/subsector.py b/src/muse/sectors/subsector.py
index 3b2ddee5..c411fbe7 100644
--- a/src/muse/sectors/subsector.py
+++ b/src/muse/sectors/subsector.py
@@ -175,9 +175,7 @@ def factory(
         if hasattr(settings, "commodities"):
             commodities = settings.commodities
         else:
-            commodities = aggregate_enduses(
-                [agent.assets for agent in agents], technologies
-            )
+            commodities = aggregate_enduses(technologies)
 
         # len(commodities) == 0 may happen only if
         # we run only one region or all regions have no outputs
@@ -208,21 +206,10 @@ def factory(
         )
 
 
-def aggregate_enduses(
-    assets: Sequence[xr.Dataset | xr.DataArray], technologies: xr.Dataset
-) -> Sequence[str]:
-    """Aggregate enduse commodities for input assets.
-
-    This function is meant as a helper to figure out the commodities attached to a group
-    of agents.
-    """
+def aggregate_enduses(technologies: xr.Dataset) -> Sequence[str]:
+    """Aggregate enduse commodities for a set of technologies."""
     from muse.commodities import is_enduse
 
-    techs = set.union(*(set(data.technology.values) for data in assets))
-    outputs = technologies.fixed_outputs.sel(
-        commodity=is_enduse(technologies.comm_usage), technology=list(techs)
-    )
-
-    return outputs.commodity.sel(
-        commodity=outputs.any([u for u in outputs.dims if u != "commodity"])
-    ).values.tolist()
+    return technologies.sel(
+        commodity=is_enduse(technologies.comm_usage)
+    ).commodity.values.tolist()
diff --git a/tests/test_subsector.py b/tests/test_subsector.py
index 23406139..efcbc1fb 100644
--- a/tests/test_subsector.py
+++ b/tests/test_subsector.py
@@ -36,9 +36,7 @@ def test_subsector_investing_aggregation():
             agents = list(examples.sector(sname, model).agents)
             sector = next(sector for sector in mca.sectors if sector.name == sname)
             technologies = sector.technologies
-            commodities = aggregate_enduses(
-                (agent.assets for agent in agents), technologies
-            )
+            commodities = aggregate_enduses(technologies)
             market = mca.market.sel(
                 commodity=technologies.commodity, region=technologies.region
             ).interp(year=[2020, 2025])
@@ -89,7 +87,7 @@ def test_subsector_noninvesting_aggregation(market, model, technologies, tmp_pat
         param["decision"]["parameters"] = ("ALCOE", False, 1)
         param.pop("quantity")
     agents = [create_agent(technologies=technologies, **param) for param in params]
-    commodities = aggregate_enduses((agent.assets for agent in agents), technologies)
+    commodities = aggregate_enduses(technologies)
 
     subsector = Subsector(
         agents,