Gartner Survey Reveals CMO 'AI Blind Spot'

A new Gartner survey reveals a significant gap in AI readiness among marketing leaders. While 65% of CMOs expect their roles to be disrupted by AI, only 32% believe their teams require significant skill changes. This disconnect highlights a potential underestimation of the operational and talent transformation needed to integrate AI effectively.

- The Gartner survey was conducted from August through October 2025 among 402 senior marketing leaders in North America and Europe. - A key reason for the "AI blind spot" is that many CMOs first experience AI through operational uses like content generation and workflow automation, leading them to view it as an efficiency tool rather than a strategic growth driver. - This leadership fluency gap is reflected in another Gartner finding that only 15% of CEOs consider their CMOs to be "AI-savvy," creating a risk to marketing's role as a driver of growth. - In 2026, creative agencies are moving beyond experimentation and are deeply integrating AI for operational efficiency, using it for tasks like data analysis, campaign optimization, and project scheduling to free up human teams for high-value creative work. - Generative AI tools are now seen as collaborators in the creative process; platforms like Adobe Firefly, Weavy AI, and Runway are being combined into "workflow stacks" to handle everything from initial image and video generation to complex editing and asset versioning. - The trend towards lo-fi, authentic content continues to grow, with a strategic shift away from chasing virality towards building communities through genuine, unpolished, and often employee-generated content (EGC) that fosters trust. - CMOs are currently focused on challenges like budget constraints and proving ROI, leading them to prioritize brand awareness and judiciously scale AI with a focus on clear business outcomes. - For creative leaders, the imperative is to move beyond simply adopting AI tools and focus on developing uniquely human skills like creativity, strategic judgment, and building resilient, values-driven teams that can collaborate effectively with AI.

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