Beyond improving traditional marketing metrics, a crucial new shared KPI for the CMO-CIO partnership is "Time to Value." This measures the efficiency of AI pilot selection, execution, and scaling, ensuring the collaboration delivers on AI's promise of speed without getting bogged down by process or governance hurdles.

The most pressing AI conversation among marketing leaders isn't about specific tools or prompts; it's an existential question about the future of the entire marketing function. They are being pushed by boards to redefine team structures and the purpose of marketing in an AI-driven world.

For marketing leaders, the primary anxiety around AI isn't job replacement. It's the expectation from the board to immediately have a strategy for new capabilities, like "ChatGPT instant checkout," that launched mere hours ago. This creates a constant state of reactive pressure and fear of the unknown.

The long-discussed alignment of sales and marketing is no longer optional; AI makes it mandatory. To effectively use AI insights for GTM, organizations must operate as a single, harmonious unit, possibly even merging the departments organizationally to ensure seamless, data-driven execution.

Leaders can no longer delegate technical understanding. They must grasp how AI fundamentally changes processes—not just automates old ones—to accurately forecast multiplier effects (e.g., 1.2x vs. 10x) and set credible team objectives that move beyond simple 'lift and shift' improvements.

The CMO role is evolving from a budget manager and task delegator to a systems architect. Future marketing leaders must design, implement, and manage integrated workflows where humans and AI collaborate effectively, blending operational efficiency with strategic oversight and creative judgment.

The initial conversation between a CMO and CIO about AI should not be about specific tools or governance. Instead, it must focus on establishing a shared vocabulary and a common understanding of AI's value proposition specifically within the context of marketing and revenue operations.

Marketers are repeating a classic mistake by adopting powerful AI tools as shiny new tactics without a solid strategic foundation. This leads to ineffective, generic outputs. The core principle of "strategy first" is now more critical than ever, applying directly to technology adoption.

CMOs must now lead the integration of AI across marketing and adjacent business functions. This moves beyond traditional brand and growth responsibilities to include overseeing AI strategy, ethical usage, and resource allocation for new technologies, fundamentally changing the required leadership skillset.