The launch of an economic advisory effort around AI usage pointed to a missing institution: a way to measure how systems change work without mistaking product activity for social progress.
Adoption numbers can show reach. They do not show who benefits, which tasks disappear, which review tasks appear or how error costs are distributed. The economic record needs longitudinal data and independent analysis, not only customer stories.
Cosign turns endorsements and work relationships into a searchable network for people, companies and jobs. Its launch raises a larger question: who gets to curate the professional reputation graph that AI systems will use?
Dan Greenheck’s reflection on Astra and Three.js work is a small record of a larger shift: visible demos are becoming cheaper, while judgment, maintainability and trust remain harder to automate.
The early economic signal from AI agents is not that jobs have vanished. It is that tasks are crossing occupational boundaries. Workers are using AI to do pieces of work that were previously outside their formal role, then some of those pieces become recurring responsibilities.
