What We’re Hearing From Marketing Leaders About AI in Marketing Right Now

Marketing leaders are under pressure to figure out what AI in marketing really looks like in practice, not in theory. In this article, we share the most common themes we are hearing from CMOs and marketing leaders who are actively experimenting with AI right now.

Over the past several months, one theme has come through consistently in conversations with marketing leaders: AI is no longer a “someday” topic. It is already reshaping how teams create content, personalize experiences, improve efficiency , and work across functions, and leaders are now focused on how to adapt in real time.

Marketing leaders are starting AI with business problems, not tools

One of the clearest patterns is that the most effective AI in marketing efforts are not starting with technology for its own sake; they are starting with a clear business problem. Marketing leaders are asking straightforward, practical questions: Where are we losing customers in the funnel? How can we personalize experiences without adding more complexity? How can we help teams move faster without compromising quality? That shift, from chasing AI trends to solving real problems, is what seems to be driving the most meaningful progress.

AI is pushing closer collaboration between marketing, data, and IT

We are also hearing more examples of marketing working in closer partnership with IT, product, and data teams. In many organizations, AI is creating a new level of cross functional collaboration around AI marketing initiatives because no single team can own the opportunity alone. The strongest examples tend to come from groups that treat AI as a shared initiative, where marketing brings customer needs and business goals, and technology teams help unlock the tools, integrations, and infrastructure to support them.

Personalization remains a top AI marketing use case

Personalization continues to be one of the most promising areas. For many marketing leaders, AI-powered personalization is becoming the most visible early win in AI marketing programs. Leaders are exploring how AI can improve customer journeys, recommend next best actions, tailor messaging by audience, and reduce friction in the buying process. For many, the opportunity is not just better targeting, but better experiences that make it easier for customers to move forward with less effort and more relevance.

AI is changing how marketing teams work, day to day

At the same time, marketing leaders are being thoughtful about how AI tools for marketing teams, changes the way teams work. Adoption is rarely as simple as turning on a new tool. Some employees are eager to experiment right away, while others are more cautious because of concerns about quality, governance, brand voice, or the long-term implications for their roles. That means enablement matters. The organizations making the most progress are investing in training, encouraging experimentation, sharing use cases across teams, and helping employees understand where human judgment still matters most.

AI raises the bar for strategic marketing leadership

Another important theme we are hearing is that AI is pushing marketers to become even more strategic. If AI can accelerate drafting, summarizing, research, or analysis, the differentiator becomes the quality of the thinking behind it. Leaders still need to ask the right questions, challenge assumptions, refine outputs, and make sure that what is produced is accurate, on brand, and useful. In that sense, AI is not replacing strategic marketing leadership, it is raising the bar for it.

Marketing teams are moving from AI experiments to operational use

We are also seeing leaders experiment with more advanced applications, from persona development and content generation to synthetic audiences, agent based workflows, and systems that optimize performance in near real time. These use cases are still evolving, but they point to a broader shift: marketing teams are moving from isolated experiments to more embedded, operational uses of AI.

There is no single AI marketing blueprint-culture still matters most

What stands out most is that there is no single blueprint. Organizations are at very different stages, with different levels of comfort, access, governance, and technical readiness. But across those differences, the common thread is clear. The leaders making progress are the ones building a culture of curiosity, encouraging practical experimentation, and staying focused on outcomes rather than hype.

AI may be changing quickly, but the fundamentals of good leadership are not. Clear priorities, strong collaboration, thoughtful implementation, and a willingness to learn still matter most. And right now, those are the qualities marketing leaders are leaning on as they figure out what this next chapter looks like.

Frequently asked questions about AI in marketing

How are marketing leaders using AI right now? Marketing leaders are using AI in marketing to personalize customer journeys, speed up content creation, improve targeting, and surface insights from data that were harder to access before.

What is the biggest challenge marketing leaders face with AI? The biggest challenge is not the AI tools themselves but change management: aligning teams, putting the right governance in place, and making sure AI supports strategy rather than distracting from it.

Does AI replace strategic marketing leadership? No. AI can help with drafting, summarizing, and analysis, but leaders still need to set direction, ask the right questions, and ensure outputs are accurate, on brand, and useful.

Where should marketing teams start with AI? Most teams see the best results when they start with a specific business problem, like improving conversion or reducing content production time, rather than chasing AI features or trends.