AI is no longer “just a tool” - it’s becoming an assistant that can build, test, and operate across your stack. Grant and John Capobianco unpack why the real shift isn’t hype, but scale: from a watch-driven agent that checks router health to a future where millions of AI identities need their own infrastructure, security, and governance. Grant brings decades of perspective from Apple-era computing, DNS, SD-WAN, and network automation, while John, Head of AI and Developer Relations at Itential, shows how fast the ground is moving with Claude Code, mobile agents, and AI-assisted app creation. Together they draw a line from the first web pages to the next wave of agent-native systems.
You'll discover:
Why “inspect what you expect” matters even more when AI is making decisions for you
How prompting, context, and clear instructions turn an assistant from generic to genuinely useful
Why AI adoption will reshape jobs, but not in the simplistic “tool vs. replacement” way people assume
The security risks of giving agents access to email, networks, and infrastructure
Why containment, zero trust, and identity architecture need to evolve for agent-scale computing
They also tackle the big questions everyone is quietly wrestling with: Can you trust an AI to change production systems? What happens when models start to deceive? And how do organizations avoid getting left behind while only a tiny fraction of people are actually paying for and using AI at full power?This conversation is equal parts practical, provocative, and future-facing - with plenty of hard-won wisdom for network engineers, builders, security teams, and anyone trying to understand what happens when AI stops being a curiosity and starts becoming part of the operating model. Essential listening if you want the clearest signal on where the next decade of innovation is headed. I hope you enjoy it!
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