diff --git a/alembic/versions/0062_drop_userprofile_curator_columns.py b/alembic/versions/0062_drop_userprofile_curator_columns.py
new file mode 100644
index 0000000..00e5633
--- /dev/null
+++ b/alembic/versions/0062_drop_userprofile_curator_columns.py
@@ -0,0 +1,41 @@
+"""drop dead UserProfile curator columns
+
+Revision ID: 0062
+Revises: 0061
+Create Date: 2026-06-02
+
+learned_summary, observations_raw, and observations_updated_at were written by
+the curator/LLM-profile machinery removed in the Phase-8 MCP pivot. Nothing has
+populated them since; the profile API returned permanently-empty fields. Drop
+the columns.
+"""
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+
+revision = "0062"
+down_revision = "0061"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    op.drop_column("user_profiles", "learned_summary")
+    op.drop_column("user_profiles", "observations_raw")
+    op.drop_column("user_profiles", "observations_updated_at")
+
+
+def downgrade() -> None:
+    op.add_column(
+        "user_profiles",
+        sa.Column("observations_updated_at", sa.DateTime(timezone=True), nullable=True),
+    )
+    op.add_column(
+        "user_profiles",
+        sa.Column("observations_raw", postgresql.JSONB(), nullable=True),
+    )
+    op.add_column(
+        "user_profiles",
+        sa.Column("learned_summary", sa.Text(), nullable=True),
+    )
diff --git a/src/fabledassistant/models/user_profile.py b/src/fabledassistant/models/user_profile.py
index 0e13e61..a5999d5 100644
--- a/src/fabledassistant/models/user_profile.py
+++ b/src/fabledassistant/models/user_profile.py
@@ -1,6 +1,4 @@
-from datetime import datetime
-
-from sqlalchemy import DateTime, ForeignKey, Integer, Text
+from sqlalchemy import ForeignKey, Integer, Text
 from sqlalchemy.dialects.postgresql import ARRAY, JSONB
 from sqlalchemy.orm import Mapped, mapped_column
 
@@ -27,13 +25,6 @@ class UserProfile(Base, TimestampMixin):
     interests: Mapped[list[str] | None] = mapped_column(ARRAY(Text), nullable=True)
     # {days: ["Mon","Tue",...], start: "09:00", end: "17:00"}
     work_schedule: Mapped[dict | None] = mapped_column(JSONB, nullable=True)
-    # LLM-consolidated summary of learned preferences
-    learned_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
-    # [{date: "YYYY-MM-DD", bullets: "..."}, ...]
-    observations_raw: Mapped[list | None] = mapped_column(JSONB, nullable=True)
-    observations_updated_at: Mapped[datetime | None] = mapped_column(
-        DateTime(timezone=True), nullable=True
-    )
 
     def to_dict(self) -> dict:
         return {
@@ -45,11 +36,4 @@ class UserProfile(Base, TimestampMixin):
             "tone": self.tone or "casual",
             "interests": self.interests or [],
             "work_schedule": self.work_schedule or {},
-            "learned_summary": self.learned_summary or "",
-            "observations_count": len(self.observations_raw or []),
-            "observations_updated_at": (
-                self.observations_updated_at.isoformat()
-                if self.observations_updated_at
-                else None
-            ),
         }