AI代理的不平等将重塑权力与机会分配，需警惕其加剧社会分化。
Agentic Inequality
- 提出三维度分析框架：可用性、质量、数量，评估代理不平等
- 指出代理作为自主代理产生新不平等，不同于传统工具技术差距
- 呼吁建立治理研究议程，关注模型发布与市场激励的影响
能够进行复杂规划与行动的自主AI代理标志着超越当前生成式工具的转变。随着这些系统进入政治与经济生活，谁可以获取它们、能力如何以及部署规模，将塑造权力与机会的分配格局。我们将其定义为“代理不平等”：由对AI代理的获取差异与能力差距引发的权力、机会与结果不均。本文表明，代理可能加深现有不平等，也可能在合适条件下缓解之。论文贡献包括：第一，构建了从可用性、质量、数量三个维度分析代理不平等的框架；第二，论证代理不平等不同于早期技术鸿沟，因其作为自主委托人运作，通过可扩展的目标委派与代理间直接竞争产生新的不对称性；第三，分析影响代理权力分布的技术与社会经济动因，涵盖模型发布策略与市场激励，并提出治理研究议程。
原文摘要 · Abstract (English)
Autonomous AI agents capable of complex planning and action mark a shift beyond today's generative tools. As these systems enter political and economic life, who can access them, how capable they are, and how many can be deployed will shape distributions of power and opportunity. We define this emerging challenge as "agentic inequality": disparities in power, opportunity, and outcomes arising from unequal access to, and capabilities of, AI agents. We show that agents could either deepen existing divides or, under the right conditions, mitigate them. The paper makes three contributions. First, it develops a framework for analysing agentic inequality across three dimensions: availability, quality, and quantity. Second, it argues that agentic inequality differs from earlier technological divides because agents function as autonomous delegates rather than tools, generating new asymmetries through scalable goal delegation and direct agent-to-agent competition. Third, it analyses the technical and socioeconomic drivers likely to shape the distribution of agentic power, from model release strategies to market incentives, and concludes with a research agenda for governance.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。