Adobe CMO: Marketing must pivot to AI-driven product discovery

The shift from search-engine-driven to AI-driven product discovery represents a fundamental break from two decades of marketing strategy anchored in search engine optimization. As the article notes, Adobe itself experienced declines in traffic tied to traditional search, prompting the company to understand how much of that change was linked to large language models. This real-world decline has forced CMOs from aspiration into action: the old instruction "spend less with more impact" has given way to the vague but urgent mandate "there's AI, do that."

Balazs's framing of the CMO as a chief marketing orchestrator reflects how this transition pulls marketing far beyond its traditional scope. Marketing insights now shape decisions about technology infrastructure, data architecture, and product development—work that once belonged to engineering and IT. This expansion means CMOs must now speak fluently with CFOs, CIOs, and CTOs; those who do not risk marginalization from enterprise-level decisions. The early phase of AI adoption—experimentation and testing—is giving way to deliberate embedding of AI into day-to-day workflows, with sustained investment tied to clear business objectives and executive sponsorship.

The challenge Balazs identifies is not technical mastery but the ability to ask the right questions without engineering training, translate technical capabilities into business outcomes, and lead organizations through sustained ambiguity. The teams best positioned to succeed are those structured around business missions rather than functional silos, bringing together diverse skills to move faster as AI capabilities advance.