Michael Wu co-founded Amber Group after working as a quantitative analyst at Goldman Sachs and macro trader at Morgan Stanley, bringing institutional-grade trading techniques to crypto from day one as part of a six-person quant team spun out of Morgan Stanley. He allocates over a quarter of Amber's budget to security controls and focuses on building compliant bridges between traditional finance and digital assets, particularly across Asian regulatory frameworks.

• Championing the evolution of autonomous AI agents that function as active economic participants rather than passive chatbots. He frequently highlights a specific digital entity named Mia to demonstrate this concept, praising how the agent manages its own treasury, runs marketing campaigns, and acts as a measurable teammate with genuine accountability.
• Focus on the convergence of artificial intelligence with blockchain mechanics and token economies. He validates this thesis by referencing academic papers on virtual agent economies, suggesting a strong interest in startups building infrastructure where software can independently handle financial transactions and staking.
• Valuing long-term strategic foresight over immediate, short-term returns. He explicitly encourages prioritizing scalable long-term alpha, often reflecting on how his past predictions about the industry are currently unfolding and advising builders to look past temporary market volatility.
• Distinction between operational reality and theoretical demos. He consistently critiques the tendency of big tech to build agent studios that function merely as toys, showing a clear preference for platforms that act as operating systems for real-world application where agents can execute complex workflows.