Abstract
Artificial intelligence promises to reshape negotiation education, not by replacing human judgment but by augmenting it. While recent research related to this topic varies on many dimensions, a salient dimension that organizes this review is temporal—whether the coaching occurs before, during, or after the negotiation of a deal. This temporal framework also elucidates differences between the projects presented at the AI Negotiation Summit in March 2025. These projects drew on AI for empowering negotiators with pertinent legal facts, enacting negotiation strategies, classifying types of agreements, and drawing lessons from tactical improvements. Used carefully, the power of AI to help negotiators performance and learning can extend the benefits of negotiation training to those who need it most. Yet it also raises questions about authenticity, bias, and ethics. Drawing analogies to autonomous driving technology, we argue that the optimal uses of AI coaching lay in complementarity: AI coaching should expand human capacity for rigorous preparation, active perspective taking, and creative problem solving—while leaving voice, agency, and responsibility where they belong: with human negotiators. We argue that it can also level the playing field in extending educational access to less privileged groups.