The Cost of Control in the Age of AI Agents
January 13, 2026

Key Hightlights

  • What AI agents mean for enterprise control and accountability.
  • Authorization vs. responsibility in autonomous AI systems.
  • How blockchain enables proof of control for AI and data.
  • Why enterprises and AI builders need to collaborate earlier. The real-world implications of decentralized AI adoption.

As AI agents become more independent, how do enterprises stay in control? Michael Casey and Tricia Wang join Amir Student to explore how enterprises govern agentic AI, where accountability breaks down, and how blockchain is emerging as a control layer for autonomous systems.

Available on

Podcast Speakers

Guest photo: Tricia Wang
Tricia Wang CEO, Advanced AI Society
Guest photo: Michael Casey
Michael Casey Chairman, Advanced AI Society
Guest photo: Amir Student
Amir Student CRO, MarketAcross

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