Chief AI Officer roles are experiencing high turnover rates, with most leaving within 18 months. This is due to several challenges, including the expertise paradox, where companies struggle to find leaders with both technical and business expertise. The integration challenge is another issue, where AI initiatives are often isolated from existing digital and data initiatives, leading to territorial conflicts and duplicated efforts. The expectation mismatch is also a significant problem, where boards anticipate immediate results from AI initiatives, but meaningful implementation requires persistent investment in data infrastructure, skills development, and organizational change management. Additionally, the governance gap and talent tension are also major challenges, where CAIOs lack the authority to enforce guidelines and struggle to build effective teams due to scarce AI talent. To address these challenges, organizations need to position the CAIO role thoughtfully, integrating it with existing technology and data leadership, and establishing responsible AI governance with enforcement mechanisms. They should also set realistic expectations and focus on building sustainable talent strategies. By addressing these fundamental challenges, companies can transform the CAIO role into a catalyst for genuine AI-powered transformation.