At the Autonomous25 event hosted by Acceldata, Cassie Kozyrkov, Google's first Chief Decision Scientist, explored the complexities of becoming an "AI-first" organization, emphasizing the importance of purpose-driven AI deployment over mere technological adoption. She highlighted the need for clear, meaningful questions to guide AI's role as an advisor and differentiated between using AI for enhancement and automating with AI, which demands careful oversight due to increased complexity and risk. Trust emerged as a crucial challenge, built on testing and transparency, rather than blind confidence. Kozyrkov also noted the shift towards natural language interactions with AI, cautioning that ease of communication doesn't replace critical thinking and responsible leadership. She underscored the trade-off between control and complexity in AI automation, likening it to a genie whose actions are dictated by our clarity of intent, and stressed that defining "right" is a human responsibility that AI cannot inherently understand. Ultimately, the talk advocated for a leadership approach that prioritizes purpose, trust, and thoughtful decision-making in AI use, urging enterprises to embrace Agentic AI, which acts independently based on human values and goals, to address challenges like data chaos and operational inefficiencies without losing control.