On this week's episode of That Tech Pod, we sit down with Michel Langlois, a longtime engineering leader whose career spans the rise of modern networking, from scaling Cisco’s IOS platform to leading as CTO at Calix. He joins us to cut through the noise around AI in network security and talk about what’s actually happening under the hood.

We get into how AI is actually being used inside modern networks, replacing work that once depended on experienced engineers, and where it’s truly improving operations versus where it’s still overhyped. That naturally raises the bigger question: is AI making network engineers better, or starting to replace parts of the role? We also explore the growing risk to telecom and broadband infrastructure, how exposed access networks really are, and whether the industry is taking those threats seriously enough, along with whether AI is reducing alert fatigue or just creating smarter noise. To close, Michel shares lessons from decades of building and leading engineering teams, including how to keep AI efforts focused on real outcomes instead of endless experimentation, and what it takes to actually bring these technologies into production at scale.

Michel Langlois has spent nearly four decades at the center of network innovation, helping scale some of the most important software platforms in modern connectivity. At Cisco Systems, he helped build and lead the global IOS engineering organization as the company grew from a $1B business to more than $40B. At Juniper Networks, he overhauled Junos software development to improve speed, quality, and scale. And during a decade as CTO at Calix, he helped reshape the company’s product strategy and engineering culture, contributing to a fourfold increase in revenue and a tenfold jump in market cap.
Today, Langlois advises CEOs and boards during key growth inflection points, helping companies scale without breaking their engineering core. A Forbes Tech Council contributor and author of the Amazon bestseller Beyond the Code, he focuses on the intersection of AI-driven networking, cloud transformation, and organizational design.