82% of the next generation entering the workforce said they would prefer an AI boss — because it would be fairer, less political, and let them work from home. Meanwhile, LLMs are trained on only 15% of the world’s information because only 15% is digitized. This panel brings together board members, startup founders, and a neuroscientist to wrestle with what leadership actually means when geopolitics is now the number-one driver of AI adoption.
WHAT THIS PANEL COVERS
- Why 56% of companies are accelerating AI adoption specifically because of tariff uncertainty and geopolitical volatility
- The three traits every successful AI project shares: trusted data, business-first framing, and serious change management
- A mood-jacket case study where nine months were spent training machine learning models but only one week on employee communication — and it failed
- Why context — not intelligence — determines whether leaders extend grace or hunt down the person who cut them off in traffic
- The case for vulnerability from the top: why leaders who admit what they don’t know create environments where the best people do their best work
PANELISTS
• Dr. Catherine Carlton — Former Mayor of Menlo Park; Trust Researcher (Moderator)
• Sandy Carter — Chief Business Officer; Chair, Applied AI Group, Digital Economist
• Dr. Friedrich — Physician, Scientist, Harvard Faculty
• Laura Ann Edwards — Founder, Geospace Resources
• Marlene — Dispute Resolution Lawyer & International Mediator
• Kevan Pimani — Chairman, Animoca Brands (NASDAQ)
• Philipp van Caneghem — Entrepreneur, Investor & Former Salesforce Innovation Lead
unDavos is a community-driven summit running during WEF week in Davos, democratizing the conversation around global challenges.
🌐 undavos.com
Tags: leadership, board governance, geopolitics, AI adoption, trust, change management, corporate leadership, board members, technology strategy, CEO, remote work, Gen Z, organizational culture, decision making, resilience, Silicon Valley, unDavos, Davos 2026, WEF