AI is everywhere right now, but real-world value is still uneven. In this episode of Utilizing AI featuring Stephen Foskett, Olivier Blanchard, and guest Scott Robohn, the discussion cuts through the hype cycle and focuses on what actually matters: where AI is working today, where it is failing to deliver ROI, and what needs to change for broader adoption. The panel explores why we are in a “10X hype cycle,” how specialized AI agents and orchestration are starting to replace general-purpose expectations, and why infrastructure decisions around hardware and software can make or break AI initiatives. They also dig into the tension between productivity gains, displacement concerns, and the reality that AI is still a tool, not a magic solution. From spec-driven development to the limits of current models, from silicon constraints to the rise of personal AI agents, this conversation grounds the future of AI in practical constraints and real business outcomes. If you are trying to understand where AI is actually headed beyond marketing claims, this episode lays out the signal behind the noise.