Slop Grenades and Other Agentic AI Scaling Problems
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What happens when AI stops being an experiment and starts becoming part of how the business actually runs?
In this episode, Alex and Jason are joined by Simon Tracy from AWS to look at the realities of scaling AI beyond pilots and individual productivity. They discuss why measuring tokens is a poor substitute for measuring outcomes, how AI changes team structures and operating models, and why governance, context and human accountability become more important as adoption grows.
Along the way they get into AI “slop grenades”, the cost of hallucinations, semantic layers, model switching, guardrails, human-in-the-loop design and why the organisations getting the most value from AI are often doing the least glamorous work behind the scenes.