If digital leaders want to support Google’s AI, which of these steps should be their priority

Developing capabilities in critical areas like high-quality data and a skilled workforce is crucial because AI models rely heavily on robust data for effective learning and optimization. A skilled workforce is essential to manage, interpret, and act on AI-driven insights, ensuring the technology is leveraged to its full potential. Defining digital marketing as a cost center can limit investment and innovation, hindering AI adoption. Creating highly specified silos can impede data flow and collaboration, which are vital for integrated AI strategies. Advising against experimentation stifles innovation and prevents organizations from discovering new efficiencies and opportunities that AI can unlock.