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This is Not a Simulation: Why AI Still Needs Humans
Artificial intelligence is transforming how businesses operate, from generative AI tools that create content in seconds to AI-powered automation that streamlines operations. But as AI adoption accelerates across industries, one critical question remains: Where does human judgment still matter? In this episode of Three Takes on AI , we explore the real-world limits of artificial intelligence in business. While AI can analyze data, generate recommendations, and increase efficie
brian silverman
2 days ago1 min read


Human vs. AI Intelligence
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
brian silverman
Feb 91 min read


Bringing AI Out of the Shadow
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
brian silverman
Jan 262 min read


Our Take: Agentic AI at a Crossroads -- Why 2026 Matters
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
brian silverman
Jan 131 min read
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