研究个人AI如何改变专业建议的博弈，发现使用频率影响顾问的应对策略。
Strategic Advice in the Age of Personal AI
- 构建博弈模型分析个人AI与顾问的互动关系
- 顾问对抗强度随AI使用频率上升，但整体表现呈非单调变化
- 适合关注AI时代信任机制与决策权转移的研究者
个人AI助手改变了人们获取制度性与专业性建议的方式。本文研究这一新的战略情境：个体可能随机咨询一个其建议可被核心顾问预测的个人AI。个人AI进入该战略环境有两个维度：咨询频率以及被采纳权重。顾问会据此调整策略以抵消AI建议的影响，且抵消力度随咨询频率增加而增强。然而，顾问表现并非单调变化：在中等采用水平时均衡损失最高，而在从不使用或始终使用时消失。信任通过单一相对影响力指数影响绩效，个人AI相对影响力越大，顾问越脆弱。进一步扩展框架至可信度建设成本情形，刻画了个人AI采用如何重塑建立信任的激励。
原文摘要 · Abstract (English)
Personal AI assistants have changed how people use institutional and professional advice. We study this new strategic setting in which individuals may stochastically consult a personal AI whose recommendation is predictable to the focal advisor. Personal AI enters this strategic environment along two dimensions: how often it is consulted and how much weight it receives in the human's decision when consulted. Anticipating this, the advisor responds by counteracting the personal AI recommendation. Counteraction becomes more aggressive as personal AI is consulted more often. Yet advisor performance is non-monotone: equilibrium loss is highest at intermediate levels of adoption and vanishes when personal AI is never used or always used. Trust affects performance through a single relative influence index, and greater relative influence of personal AI increases advisor vulnerability. Extending the framework to costly credibility building, we characterize how personal AI adoption reshapes incentives to invest in trust.
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