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I just finished up over a dozen calls with high-level Chief AI Officers (CAIOs) this week. Most worked at Fortune 500, the government, non-profits, and distribution centers. Will share more in-depth research in The Rundown soon, but here are 8 highlights that stood out: 1. High Demand: 21% of organizations are actively seeking a CAIO. The market is red-hot, and the general consensus is that this number will only grow. 2. Business First, AI Second: Understanding organizational processes trumps AI knowledge for CAIOs. AI skills can be taught more easily. 3. Talent Shortage: There's a critical gap between high demand and the low supply of individuals who understand both business operations and AI implementation. 4. Role Evolution: Long-term, expect to see specialized AI roles (e.g., AI for Product, Education, Marketing) with the CAIO as the central orchestrator. 5. Surprising Adoption Trends: In large organizations (~1,000 employees), senior staff showed significantly more willingness to adopt AI than younger employees. I thought it was the opposite. 6. Problem-Centric Approach: Identifying the problem should come first before using an AI tool blindly. Without a clear problem, AI implementation is likely to be ineffective. 7. Guided Implementation: Introducing AI tools to a beginner is like telling someone to build a rocketship. They need their hands held and the direction of a specific problem they're solving. 8. Demanding Role: CAIOs must understand all business departments, know how to implement AI, and keep up with daily advancements. It's an incredibly challenging position.