Today in Tech treats technology news as a management problem, not just a product announcement. It is brisk, conversational, and business-minded. Keith Shaw frames each episode around a clear question: what happens when a technology leaves the demo stage and enters real organizations? Recent conversations show that focus especially well. AI is everywhere in the feed, but the show rarely stops at broad excitement. One episode looks at the data explosion behind AI and the storage problems companies may only notice once the bills arrive. Another asks why generative systems still hallucinate, separating creative model behavior from the controls businesses need for trusted answers. Workplace episodes examine AI as a teammate, not merely a tool. That means onboarding agents, watching their outputs, setting goals, and treating observability as part of management. The boardroom episode pushes the question higher, asking whether agentic AI could support leadership decisions while raising problems of power, security, and accountability. The show also follows technology through public systems and culture. Pittsburgh International Airport becomes a case study in predictive analytics, Wi-Fi, cybersecurity, aging infrastructure, and design shaped by nature, technology, and community. A discussion of glasses-free 3D revisits the collapse of 3D TVs and asks whether newer optics, AI, displays, creators, and platforms can avoid the same cycle. Social media coverage moves from opinion to legal accountability, with court rulings, evidence, platform intent, and harms placed at the center. Across these episodes, the format stays simple. Shaw introduces the stakes, asks plain questions, and lets guests explain where hype meets implementation. The show is useful for leaders, technologists, analysts, and curious business listeners who want to understand what new systems demand from companies: better data practices, clearer governance, trained employees, stronger security, and more honest expectations.