Andy Hall, a Stanford professor and advisor to a16z and Meta, has proposed using AI agents to enhance liquidity in political prediction markets. Hall's team developed a dataset revealing that only 1.3% of political contracts in these markets have sufficient liquidity. To address this, Hall suggests listing contracts on core societal issues, paying market makers to provide initial liquidity, employing AI agents to trade in underrepresented areas, and standardizing definitions and settlement rules across platforms. These measures aim to attract traders and transform prediction markets into reliable tools for hedging political risk.