CTOs are under intense pressure to define and deliver an AI product strategy that satisfies boards, investors, and customers—without derailing existing roadmaps or overcommitting to unproven tech. From hiring the right people to retraining existing teams, from communicating LLM limitations to dealing with relentless change, this panel will dive into the real-world challenges CTOs face when trying to build sustainable, value-driven AI strategies. •What are the first concrete steps a CTO should take when asked to "define our AI strategy"? •With the velocity of change in AI, how do you make roadmap decisions that won’t be obsolete in six months? •How do you explain the current capabilities and limitations of technologies like LLMs to non-technical stakeholders—without overselling or underselling? •How do you ensure high quality standards in a product that has LLMs integrated into it? •How do you distinguish between true AI product value versus features that are just hype or investor bait? •What qualities do you look for when hiring AI talent, and how do you compete in such a crowded market?