About this episode
The episode discusses the importance of sovereign AI and the implications of data control for organizations and governments.
AI is moving fast, but the bigger question for companies and governments may be control. Who owns the data, the workflow, the output, and the risk? In this episode, Amir talks with Shaun Modi, cofounder and CEO of Capitol AI, about sovereign AI, shadow AI, model dependency, government use cases, and why organizations need repeatable, governed, auditable workflows before AI becomes part of core operations. Shaun also brings a design lens to the conversation, connecting AI adoption to user experience, voice interfaces, and the next wave of AI in the physical world. Practical Takeaways • Sovereign AI means having control over your data, outcomes, upside, and risk. • Shadow AI creates short term productivity, but can also create silos, governance gaps, and data exposure. • Organizations need repeatable, governed, auditable AI workflows, especially in regulated environments. • Model independence matters because model costs, performance, and capabilities keep changing. • Design will come back into focus as AI systems become more powerful and more embedded in work. Timestamped Highlights 00:40, What Capitol AI does and why decision ready artifacts matter 01:50, Shaun defines sovereign…
People in this episode
Host: Amir
Guest: Shaun Modi
Topics covered
- sovereign AI
- shadow AI
- data control
- AI workflows
- user experience
- AI adoption
Keywords
- sovereign AI
- shadow AI
- data ownership
- AI workflows
- model independence
- user experience
- AI design
Mentioned in this episode
Organizations: Capitol AI
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