Anthropic study finds Claude agent trading limited by preference understanding
Original titleProject Swap: What happens when agents trade for us?
AISummary
Anthropic ran a controlled book-swapping market with 201 employees and Claude-powered agents, which reached 0.55 efficiency against a 0.89 optimum.
Agents matched participants' own rankings on 61% of book pairs, and about 85% of the shortfall came from imprecise preference representation rather than the trading floor design.
Stronger models produced more efficient markets than weaker ones, while instructions mattered less.
AIWhy it matters
The study separates agent misunderstanding of user preferences from negotiation failure, showing which failure mode limits outcomes in agent-run markets.
Source: Anthropic Research · anthropic.comPublished · added here