AI is being layered into every part of the go-to-market stack - from CRM features and forecasting tools to agents promising autonomous execution. But more tools don’t automatically mean better outcomes. In this fireside chat, we’ll take a practical look at where AI genuinely strengthens the GTM stack, where it creates friction or redundancy, and where teams are quietly pulling back. The conversation will explore how experienced GTM leaders are evaluating AI capabilities, integrating them into existing systems, and making trade-offs between speed, control, and complexity. We’ll also dig into ownership, data readiness, and long-term maintainability - the factors that often determine whether AI drives sustained impact or becomes another layer of technical debt. A candid, operator-led discussion for leaders who want to design a GTM stack that scales - not just experiments.