Human vs. AI Intelligence We continue to describe AI in terms of human intelligence: when it will reach AGI or ASI, or how it “hallucinates” when it makes mistakes. But does this way of thinking actually help us understand ,AIor does it create more confusion? Mike, Campbell, and Brian tackle this question head-on. Does anthropomorphizing AI benefit humans, or does it distort how we think about what AI really is and how it should be used? Mike takes the position that AI is e

AI is already being used across organizations, often quietly, informally, and without oversight. In this episode of Three Takes on AI , Brian, Mike, and Campbell dig into the reality of Shadow AI : why it’s happening, what it signals about leadership and culture, and how organizations should respond. Rather than framing Shadow AI as a compliance failure, the conversation reframes it as a symptom of unmet demand . Employees are experimenting with AI to move faster, solve probl

In this episode of Three Takes on AI , we explore why 2026 is shaping up to be a crossroads moment for Agentic AI.  From emerging frameworks and standards to real-world successes, failures, and governance challenges, we discuss what it will take for agentic systems to move beyond demos and deliver real business value. Most importantly, we examine the evolving role of humans, not as obstacles to automation, but as essential supervisors of AI in a world defined by ambiguity, t

Three Takes on AI: The 2025 Wrap Up In this year-end episode, Brian, Campbell , and Mike look past the hype to analyze the real-world state of AI as we enter 2026. Rather than just discussing model updates, the trio explores the friction between innovation, regulation, and career longevity. Three Unique Perspectives: Brian Silverman on "Enterprise Memory" & Hardware:  Brian highlights 2025 as the year AI found its memory, allowing it to track complex projects over time. He a