AI is everywhere in competitive intelligence (CI)—but most teams aren’t seeing meaningful impact. Why? Because layering AI on top of broken processes, unclear priorities, or scattered data doesn’t fix the fundamentals. This session cuts through the hype to show how AI can actually transform CI when applied with intention. We’ll explore practical ways to use AI to accelerate insight generation, improve signal detection, and scale competitive intelligence efforts, without losing critical thinking or context. You’ll also learn where AI adds the most value (and where it doesn’t), how to integrate it into existing workflows, and how to avoid common pitfalls that lead to noise instead of insight. If you want to move beyond experimentation and start driving real outcomes with AI in competitive intelligence, this session will give you a clear, grounded path forward. Key Takeaways: - Where AI genuinely adds value in the competitive intelligence workflow, and where it doesn’t - How to integrate AI into competitive intelligence processes to improve speed, quality, and impact - Common mistakes that limit AI effectiveness (and how to avoid them)