Strategic Advice in the Age of Personal AI
Personal AI assistants are changing how individuals use advice. We study how an advisor should design its recommendation in anticipation of stochastic consultation with personal AI whose recommendation is predictable. Personal AI enters through two dimensions: consultation probability and relative trust, which captures the relative influence personal AI receives when consulted. In the baseline model, the advisor optimally counteracts the personal AI signal. Counteraction increases with consultation probability but is hump-shaped in relative trust. The advisor's minimized loss is hump-shaped in consultation probability, vanishing when personal AI is never or always consulted. Greater relat...
| Authors | Yueyang Liu, Wichinpong Park Sinchaisri |
|---|---|
| Primary category | cs.LG |
| Published | 2 March 2026 |
| Last updated at source | 15 September 2026 |
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