News & insights - Valve

From marketing to growth engine: how AI redefines the CMO role

Written by Clément René | 28.11.2025

In short

AI is reshaping what it means to be a CMO. It’s no longer just about running campaigns; it’s about building a living, learning growth engine. In this article, we examine how today’s marketing leaders can leverage AI to move faster, stay smarter, and transform creativity into measurable impact.

 

Few roles carry as much pressure or potential as CMOs.

Of course, the job has always been demanding, but in recent years, that brief has expanded and intensified.

Moreover, the average CMO tenure remains shorter than that of almost any other C-suite role, while budgets have decreased as a share of company revenue. At the same time, expectations for measurable growth have never been higher.

In other words, CMOs are being asked to deliver more impact with fewer resources and under greater scrutiny than ever before.

And, to make it easier, it appears that the traditional marketing model can’t keep up with these conditions.

To name but a few:

  • Siloed teams slow things down.
  • Campaign calendars rarely align with how customers actually buy.
  • Set reporting cycles aren’t allowing for agile decision-making.

As a result, even capable marketing organisations find themselves reacting to change instead of shaping it.

This is where AI enters the picture, not as another shiny thing in your toolbox, but as a genuine turning point (if understood and used the right way).

In this article, I’ll attempt to explain how AI redefines the CMO role, enabling a shift from campaign-by-campaign thinking to building something far more powerful: an always-on growth system.

 

Struggling to find your AI use cases?

A great first step is to determine how AI can serve your business case. This is exactly what our AI Agent Blueprint Sprints are about: In just one week, you could get three execution-ready AI agent concepts tailored to your sales and marketing challenges.

> Find how AI can work for YOU

 

 

AI isn’t just another tool on CMOs’ desks

AI is often discussed as a magical tool for automation and efficiency.

And that’s a mistake.

Yes, marketing has continuously evolved in tandem with new technology, from early automation tools to comprehensive MarTech stacks, CRM systems, and advanced attribution models. And so, if AI isn’t the first disruption, it is the first to compound all previous ones, turning an already complex ecosystem into something far more dynamic.

In application, AI changes how organisations can operate, make decisions, and compete with their peers. For CMOs, that means AI is a strategic force that rewrites the fundamentals of leadership.

 

Moving from reaction to prediction

With the right data and models in place, AI helps you see what is likely to happen before it does. You can:

  • spot early signs of churn,
  • identify accounts that are ready to convert and prioritise high-value prospects,
  • anticipate what will resonate with specific audiences,
  • identify key signals to understand better why you win or lose deals,
  • Enrich your data to support your sales efforts,
  • and/or forecast your pipeline with more confidence.

Whether you like it or not, AI belongs on your agenda. Now, turning it into tangible outcomes in your marketing and sales funnel requires development in strategy (why), data and technology (how), and people and culture (who). Let us help you figure out how AI works for your organisation.

> Learn more about our AI deployment services

 

Precision & true personalisation at scale

For years, marketers have chased reach, often at the expense of relevance. AI reverses that equation.

  • It helps tailor creative, offers, and messaging to individual context and timing.
  • It accelerates research, generates content variations,
  • and learns from performance data in real time.

In short, what once felt impossible (delivering relevance across every stage of the journey) now becomes achievable.

 

The differentiator is no longer who uses AI (that ship has sailed years ago), but rather who can harness it for growth, not just efficiency alone.

That is a leadership challenge.

It is about vision, orchestration, and governance as much as it is about technology.

What we see in the many B2B organisations we work with is that CMOs who are already redefining their role through AI have one thing in common: they are using it to create new sources of growth.

  • They align teams around measurable outcomes,
  • build systems that learn continuously,
  • turn data into decisions.

This also confirms our initial assumptions regarding AI: it cannot replace leadership. It supports it.

 

 

The shifts every CMO must understand

Building a growth engine requires a fundamental shift in how marketing thinks, works, and measures success. Every CMO who wants to lead in the age of AI needs to guide four key transformations:

  • in mindset,
  • in capabilities,
  • in outcomes,
  • and in operations.

1. A shift in mindset, from brand to growth

If brand has always been central to marketing, growth is now the shared, measurable outcome that unites brand, demand, and customer experience. And we get to see it every day in our line of work: the strongest CMOs use brand as a growth lever, not just a communications asset.

This means owning the full customer lifecycle, from awareness to renewal, and ensuring that every interaction reinforces the company’s value story. It also means translating narrative into numbers. If your brand promise is “faster value,” then your dashboards should track how quickly customers actually realise that value.

Another aspect of this mindset shift is treating trust as a driver of growth. In complex B2B buying, deals often stall not because of a lack of interest, but because buyers feel uncertain. The CMOs who win are the ones who reduce that uncertainty. They build systems that make value easy to see, risk easy to assess, and progress easy to measure. When trust becomes a key performance metric, growth naturally follows.

Read more: What every buying committee member needs to say 'yes'

 

2. A shift in capabilities: from “human vs. machine” to “human + machine.”

The question really is how marketers and AI will make each other stronger. The most effective teams design their work around that partnership.

In fact, over four in five marketers using AI say their productivity has increased since adopting it.

An AI-enabled marketing organisation blends strategy, creativity, and data in a new way. Strategists set the vision and define experiments. Analysts and data scientists build and tune models that find patterns in behavior. Creatives use AI to explore more ideas, test faster, and personalise at scale without losing craft. Technologists connect the stack and automate repetitive work.

These teams collaborate in a shared rhythm of testing, learning, and improvement. They also operate within clear ethical and quality guardrails. The goal is collaboration (as opposed to blind automation) between people and systems that amplifies both human insight and machine precision.

 

3. A shift in outcomes: from activity to accountability

Forget traffic or lead generation. Modern CMOs are judged by what business results they drive. AI gives you the tools to measure those results with far greater clarity.

This means redefining what success looks like. Vanity metrics such as impressions, clicks, or MQLs still matter, but they are not the finish line. The proper measures are pipeline contribution, conversion velocity, retention, and lifetime value. These are the metrics that prove marketing’s impact on the business.

It also means making measurements continuous. Attribution models, controlled experiments, and predictive analytics provide a clearer picture of what actually drives results. The most advanced teams take those insights and adjust in near real time. They do not wait for quarterly reviews to make decisions—they evolve as the data evolves.

Accountability in this context is not about pressure. It is about clarity. When the organisation knows what drives growth, everyone can focus their energy where it matters most.

 

4. An operational shift: from siloes to integrated operations

Marketing, sales, product development, and customer success teams around the globe have been chasing a wild dream for ages: the holy grail of alignment.

Of course, AI doesn’t provide a solution to all misalignment issues. However, it does provide solid foundations to, at the very least, align data, insights, and customer understanding across all teams, creating shared visibility that we rarely had before.

This presents CMOs with a unique opportunity to strengthen cross-functional alignment by leveraging AI to surface consistent intelligence, harmonize messaging, and support coordinated decisions.

With this connective role, marketing evolves into an integrator for the business, and AI can become a technology that finally closes long-standing gaps between functions rather than simply adding another tool to the stack.

 

Are you ready to enter the age of the AI-driven CMO?

AI is redefining what marketing leadership looks like.

The CMOs who rise in this ‘era’ will be the ones who see AI not as a shortcut, but as a strategic advantage. They will use it to identify patterns before competitors do, to connect creativity with precision, and to transform marketing into a system that compounds growth rather than chasing it.

What truly matters is to understand the impact of this shift. In reality, it is about leadership and mindset more than it is about technology.

  • It requires vision to connect the dots across brand, data, and performance.
  • It takes courage to redesign teams and processes around human-plus-machine collaboration.
  • And it calls for accountability to prove that marketing is not a cost center, but a growth engine for the business.

The role has never been more demanding, or more valuable. CMOs who lean into this transformation will not only retain their seat at the table but also gain a competitive edge. They will help define where the company grows next.

The future belongs to those who lead it.

Of course, no one knows what tomorrow will be made of and where AI will take us, but we are determined to stand in the front row to help you drive the change and reap the benefits.