Show Notes
Why the loudest narratives in AI rarely hold up once you talk to the people actually building the technology. In this episode of AI Radicals, host Satyen Sangani talks with Victor Dey, AI and technology analyst contributing to Fast Company, Forbes, and the AI Journal, about what it takes to cut through the noise of enterprise AI — as a journalist who has interviewed the executives running nearly every major data and agent platform in real time. Victor and Satyen dig into how Victor's practitioner background in data science and NLP shapes the questions he asks CEOs, and why a practitioner's mindset increasingly matters for anyone selling, deploying, or building in AI. They unpack the story behind Victor's counter-narrative on the so-called "SaaS Apocalypse" — how one forthright conversation flipped the market narrative and sparked a wave of CEOs finally speaking up. They explore the race to own the AI "control plane," why competitors are simultaneously building and partnering on orchestration, and why context alone isn't enough: permissions, guardrails, and observability matter just as much. "What I think is more important than context, or equally important as context, is also permissions. What data did it touch? What points did it touch? Was it denied or was it told not to perform certain actions? I think that needs equal amount of light." Listen to this episode to learn: Why the SaaS Apocalypse narrative collapsed once a single CEO with conviction and customer evidence spoke up — and what that reveals about how market stories form and break Why the AI control plane is simultaneously the most contested and most collaborative space in enterprise tech, with competitors building rival products while partnering on the same capabilities Why context gets the headlines but permissions, guardrails, and observability deserve equal attention as agents proliferate and incidents mount
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