What efforts should digital leaders prioritize in order to support Google's AI?

The selection is correct because building capabilities in key areas such as high-quality data and a skilled workforce provides the essential foundation required for Google's AI to function at its highest potential. Machine learning algorithms are only as effective as the inputs they receive; therefore, digital leaders must prioritize a robust data strategy—specifically focusing on accurate, consented first-party data—to fuel the AI with high-quality signals that lead to better predictive modeling and bidding accuracy. Furthermore, a skilled workforce is necessary to move beyond traditional manual optimizations and instead focus on strategic oversight, such as setting the right business objectives and interpreting AI-driven insights. By investing in these two pillars, organizations can transition from fragmented, siloed operations to an agile, "test-and-learn" culture that treats marketing as a profitable growth driver rather than a static cost center, ultimately maximizing the return on investment from automated solutions.