When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets

Researchers used large language models from OpenAI, Anthropic, and Google to simulate freight matching markets with 50 shipper agents. The simulations revealed concentration risks, with a single carrier attracting up to 76% of requests. Disclosing daily capacity reduced concentration by a third and doubled shipper surplus.