Ramya Chandrasekaran

expert panel

Automation has a way of making marketing systems look busy—and therefore, healthy. Dashboards fill up, campaigns launch on schedule and follow-up happens at machine speed, creating the impression that marketing teams are becoming more efficient and effective.  But activity isn’t the same as results. For a growing number of marketing organizations, automation has become a way to run faster in the wrong direction. Automation doesn’t fix fuzzy underlying strategies, scattered data or poorly defined handoffs between marketing, sales and product teams. It just moves them out of sight. A workflow that runs smoothly isn’t necessarily a workflow that works. Further, tool sprawl can leave teams struggling to manage and achieve ROI from an ever-growing, unchecked tech stack.  That’s the uncomfortable reality many CMOs are grappling with right now. The proliferation of martech tools has made it easier than ever to automate nearly every touchpoint in the customer journey, yet in too many cases, revenue stalls, churn climbs and teams struggle to explain how—or if—automation is making a positive difference. The real job, then, isn’t just adopting better tools. It’s figuring out what the underlying problem is and whether technology will merely simply help a flawed process fail more elegantly. Members of the Senior Executive CMO Think Tank—a curated group of marketing leaders with deep expertise in digital advertising and technology’s growing role in marketing—have been at the forefront of the AI revolution. Here, they break down the process flaws automation most commonly conceals and share practical diagnostics to help CMOs build on solid ground before adding more speed.

expert panel

Marketing has always been part science, part art. Increasingly, AI is bringing the science: It can process data at a speed and scale no human analyst can match, instantly spotting patterns across channels and audiences. AI is proving its value by helping teams process more data, identify patterns faster and move from raw information to action with far less manual effort. But effective marketing demands more—context, empathy and the kind of nuanced decision-making that comes from lived human experience.  The question CMOs are wrestling with isn’t whether to adopt AI; most already have or are planning to do so. It’s how to deploy it in ways that genuinely sharpen performance without hollowing out the human judgment that makes marketing resonate. CMOs who get the division of labor right won’t be those who automate the most. Rather, they’ll be the ones who design teams and workflows that leverage the unique strengths of both technology teams and human beings. The members of the Senior Executive CMO Think Tank share deep expertise in brand storytelling, digital advertising, customer engagement and the rise of AI in marketing. Below, several of them share their perspectives on where AI delivers its greatest value and where human judgment remains irreplaceable—and how CMOs can architect ways of working that bring out the best of both.