The battle for enterprise AI dominance has reached a fever pitch, with Google and Amazon launching competing platforms on the same day, each betting billions on "zero friction" workplace integration. But as AI becomes ubiquitous in our professional lives, a fascinating contradiction emerges: people eagerly adopt AI tools for personal use while simultaneously rejecting AI-generated content from the institutions they rely on. In this deep dive, we explore the shifting landscape of enterprise AI adoption, from Google's $30-per-month Gemini Enterprise platform to the rise of "agentic" AI workers that operate without coding expertise. We'll examine why professional developers aren't going anywhere despite the automation wave, diving into the critical distinction between "vibe coding" and the complex, messy reality of enterprise software development. The episode also tackles a striking paradox revealed in new Reuters Institute research across six countries: AI usage has nearly doubled year-over-year for personal tasks like research and content generation, yet only 12% of people trust AI-generated news content. We'll unpack why the same technology that helps us understand complex concepts feels threatening when applied to journalism and political reporting. From the staggering scale of 1.3 quadrillion tokens processed monthly by Google to the alarming ease of "model poisoning" attacks that can compromise AI systems with just 250 malicious documents, we'll reveal both the promise and peril of our AI-integrated future. Plus, discover how a simple PDF-trained AI agent is revolutionizing community nutrition challenges, proving that the most powerful AI applications often solve the most mundane friction points. Perfect for marketing professionals navigating AI integration strategies and AI enthusiasts seeking to understand the complex dynamics shaping our technological landscape.