Google shared a new work:
Virtual Agent Economies

Researchers discussed a number of possible frameworks for establishing steerable agent markets.

The rapid adoption of AI agents points to a future where AI agents may be able to produce economic value independently of human labor.

Coupled with the development of new interoperability standards like the Agent2Agent (A2A) and Model Context Protocol (MCP), this signals the inevitable emergence of a new economic layer.

The arising virtual (sandbox) AI agent economy may offer us opportunities for insulation and safeguarding, as well as establishing potentially unprecedented coordination between agents, and orchestrating their interactions towards achieving major societal or community goals, or better aligning with user preferences.

Market-based mechanisms like auctions may also be employed for fair resource allocation.

Finally, outline the technical and governance infrastructure—such as verifiable credentials for establishing trust—required to safely and robustly scale agentic AI deployments. These are necessary to address systemic market risks, and prevent exacerbating inequalities.