Ifyou're leading a marketing team and your team's goal is to support Google'sAI,which of these steps should you prioritize?

Prioritizing the development of capabilities in high-quality data and a skilled workforce is crucial for supporting Google's AI. Google's AI-powered advertising relies heavily on robust, accurate data to optimize campaigns and deliver effective results. A skilled workforce is essential to manage, interpret, and leverage this data, as well as to understand and adapt to the evolving AI landscape. This synergy allows the AI to perform optimally and complements its capabilities, leading to better campaign performance. Highly specified silos and multiple budget owners (first option) can hinder collaboration and data sharing, which are vital for AI-driven strategies. Avoiding experimentation (second option) stifles innovation and prevents learning, which is counterproductive in a rapidly evolving AI environment. Defining digital marketing as a cost center (third option) can limit investment in crucial areas like data infrastructure and talent development, undermining AI initiatives.