Keynote - The Future of Work
summary
Early Copilot trials randomly assign preview seats and show concrete effects: Copilot users create 10% more documents and spend 11% less time in email. Research argues most current AI use optimizes personal productivity and can harm group coordination by externalizing coordination costs. Proposals include designing AI-native workflows, socially intelligent models that understand teams, using meeting transcripts and channel agents to synthesize large-scale feedback, and techniques like self-distillation/experiential reinforcement learning to train models on collaborative signals.
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chapters (12)
- 0:00Future of work with AI
- 3:30Generational shift in collaboration
- 7:52Personal AI harms group work
- 13:11AI breaking collaboration boundaries
- 17:50Socially intelligent AI tools
- 24:13Knowledge capture in AI-first world
- 28:53AI and teams with Chastity & Carolina
- 33:04Leadership in AI anxiety era
- 36:58Overcoming failure & confidence
- 42:13Feedback in AI and teams
- 48:35Transition to AI-augmented workforce
- 53:30Actionable advice next 6 months
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