Why the CMO Will Be at the Heart of the AI Transformation Reshaping Business
Over the course of my career, I have worked with many CMOs. I have also served as the CMO for quite a few companies. In all of these roles, I had a front-row seat to the evolution of the CMO — which, as we all understand, is an intimate reflection of major business shifts over time.
Today, we face what may be the largest structural shift in business due to AI—one that demands an equally dramatic transformation of the CMO role.
Looking back, especially over the last 15 years, history has not been kind to CMOs. This fact must be understood in the context that the CMO role came much later in the evolution of the C-suite. In fact, most larger companies like AT&T did not even have a CMO role until the 1990s. Before then, specific marketing functions—like trade shows or advertising—were managed by external vendors within the sales organization. Advertising and marketing functions, for example, were largely managed by ad agencies, who often became the de facto marketing organizations for larger companies. Smaller companies did not have professional marketing functions at all because, by and large, advertising was simply too expensive for most firms.
Since CMOs are relative “newcomers” to the C-suite (compared to CEO or CFO roles), this accounts for the paradoxical nature of the position. It is simultaneously one of the most important roles in the enterprise and one of the most vulnerable—at least by the numbers.
According to Korn Ferry’s data, the average CEO tenure stands at 7.2 years and CFO tenure at 5.7 years. This compares to the CMO’s approximately 3.9 years—the shortest of any C-suite role.
More telling is that only 49% of Fortune 500 top marketers even carry the CMO title anymore, a decline from 55% just a year ago and the lowest figure ever recorded since researchers began tracking the metric (Forrester). Companies like UPS, Etsy, and Walgreens have eliminated the role entirely, folding its responsibilities into COO and Chief Commercial Officer structures.
All of this, on the surface, does not portend a bright future for CMOs in the decades ahead as AI makes itself felt within an organization. Yet the reverse is true.
Over the next two decades, AI technology will radically change business, similar to the major shifts during the digital transformation of the early 2000s. Back then, marketing bore the brunt of the digital transformation because, at its heart, digital changed how companies communicated: with the outside world, with each other, with partners and vendors, and with stakeholders. Yet marketing did not lead the organization through the dramatic changes. Marketers were participants in a process that eventually touched every part of the organization.
The fragmented adoption of digital technology was, as we will see, a costly mistake that must not be repeated with AI.
The digital transformation cost organizations time, money, efficiency, and company momentum due to its haphazard approach to technology deployment. This time, though, if the CMO’s role transforms into that of Chief Momentum Officer, then the CMO can lead the organization to realize the substantial rewards AI has to offer.
“Why the CMO?” you might ask. We answer this question in detail below but the long and short of it is that the CMO is the most experienced officer at managing major communications intelligence transformations which is at the center of the AI disruption. This is exactly where the CMO’s depth of expertise lies.
Technological Revolution Done Right: What History Teaches Us About Our AI Future
The business opportunities AI will deliver will be as profound — maybe more so — as the transformation that occurred during the digital revolution 20 years ago.
Then, as now, the transformation will radically change operating procedures across every function and impact every individual within an organization.
Then, as now, transformations put enormous pressure on an organization to understand how to dynamically manage change across the enterprise, elegantly and in an orchestrated way.
Then, as now, the adoption curve of technologies is messy, disorganized, and more costly than it needed to be because people did not understand the full scope of what was to come.
As a result, there was uneven adoption of technology. In the digital transformation, we saw a website here from one business unit or an email platform there driven by another group. No master plan. No coordination. No opportunity to leverage the expertise of one group to accelerate the progress of another.
Therefore, given the magnitude of AI—both in terms of opportunity and risk—there is tremendous value in looking back at what went wrong during the digital transformation so we can avoid those mistakes. The lessons from that era are not just relevant; they are essential. The organizations that fail to learn from the mistakes of the digital transformation will repeat them with AI, only at greater speed and greater cost.
Lessons from the Digital Transformation: What Business Got Wrong That We Can Get Right This Time
There is a dangerous temptation to treat AI transformation as though it is happening on a blank canvas. It is not. With no cogent leader and no master transformation plan, chaos reigns.
I know it.
I saw it.
I lived it during the digital transformation of the early 2000s.
I saw the human struggles and the human predilection to resist change. These challenges, if left unaddressed, will not just derail the adoption of AI within the organization—they will work against the potential for an organization to thrive over the next 20 years.
For context, it turned out that marketing was at the front lines of the digital transformation that forced companies to rapidly change from analog communications technologies and practices to a digital orientation. Since communications (in all areas) was marketing’s main responsibility, by extension, marketing was Ground Zero—the epicenter of the transformation.
In the analog-to-digital journey, the migration path was messy.
Yet marketing was expected to manage increasingly complex systems while at the same time ensuring that business revenue was increasing and the company’s bottom line was improving. This was an epic challenge not required of most other teams. The finance team reported on outcomes—they did not create them. The product teams created products, but it was marketing’s responsibility to get them sold. Customer support systems were not the initiators of revenue but were custodians of customer issues. Marketing teams were expected to migrate to digital by adding new elements to the marketing stack and still drive increasing revenue goals.
This was when websites were taken seriously, email platforms were activated for outbound marketing, supply chain partners were nurtured via “microsites,” and, of course, digital advertising arrived with heaps and heaps of data.
Of all these changes, it is fair to say that digital advertising was the killer application of the digital transformation, and the stakes could not have been higher.
With marketing’s remit to grow revenue, the expectations of the C-suite were epic and epically misaimed. The narrative was that if “digital is done right,” then a healthy, profitable pipeline of prospects would somehow, magically, appear. After all, the thinking went, the cost to run ads in digital was a fraction of the cost of running ads in traditional media. Plus, the cost and time to produce digital ads were a fraction of the cost and time for any traditional ad like a TV spot. Finally, and perhaps most significantly, digital media was arguably far more trackable than traditional media.
All of this digital advertising potential was a mixed blessing. Change came fast and furious, but the infrastructure for efficient digital media buying did not even begin to stabilize until 2017. CMOs were expected to absorb all of these changes and deliver more revenue, more predictably, and at lower costs.
With the benefit of hindsight, we know the first decade of the digital transformation was overly idealistic. We also know there is no magic digital pixie dust that can make digital hum effortlessly. Despite the challenges, CMOs understood that digital was shaping up to be a major new revenue builder. It was up to the CMO to make it happen.
This is why the digital transformation upped the profile of the CMO considerably. It is also why CMOs became more vulnerable. Digital was adopted unevenly across the organization, and when it went awry, it often became the “fault” of the CMO—no matter how far downstream marketing may have been from the fault line. Too often, CMOs were a handy scapegoat, shielding other C-suite officers from tackling difficult issues.
The lessons from the digital transformation experience loom large for us today in these early stages of AI adoption. Given the current course and speed, the early signs of AI chaos are all too obvious. It does not have to be this way if we learn what went wrong last time.
Lesson 1: When Technology Moves Faster Than Teams Can Adapt, Chaos Will Ensue
If you are experiencing Deja Vue with AI adoption – you are not alone. AI adoption is sounding too much like the experience of the digital transformation. Way too much.
Back then, there was an imbalance between technology’s capabilities and people’s capacity to use it well. During the digital transformation era, different groups within the organization adopted digital technology at wildly different stages and speeds. Marketing might have been running programmatic campaigns while the sales team was still managing leads in spreadsheets. Customer service might have deployed a chatbot while the product team was still gathering feedback through focus groups. There was no coordinated adoption strategy. Each department went on its own digital journey, at its own pace, with its own vendors, creating a patchwork of disconnected systems that often couldn’t talk to each other. The result was not transformation—it was fragmentation and chaos dressed up as progress.
The business transformations driven by AI cannot follow that same path.
The entire value proposition of artificial intelligence depends on intelligent, connected communications—between people, between machines, and between humans and machines. For AI to evolve in usefulness, it must be based on models that learn from data across the enterprise, not from data trapped in departmental silos. For instance, an AI system that only sees marketing data cannot optimize campaigns, and data from customer service teams cannot remain secluded from product teams.
The urgent need is for an organizational leader with the visibility to see the “intelligent connections” between the moving parts. Marketing data is connected to sales data, which is driven by product data, which is informed by product usage and customer service data. This new level of AI adoption requires intelligence orchestration across the organization.
Here is the twist no one would see coming.
This leader should not be the tech leader and their team. As important as these teams are, they are the general contractors in this revolution. To continue with the building metaphor, tech teams are the ones who need to think in terms of pipes and plumbing in infrastructure and deployment—not intelligence management.
Instead, this dramatic shift needs to be led by a functional leader who thinks in terms of customer outcomes, revenue impact, and cross-departmental integration. That is the CMO’s native language.
Yes, I hear the loud arguments going in people’s heads as they read this.
Some might argue that CMOs lack the technical chops.
Others might believe that CMOs have limited exposure to many parts of the organization.
Still others will wonder if CMOs can rise to the challenge compared to other C-suite officers.
These are valid questions but, frankly, they sound more objections born from digital transformation PTSD. The feelings are valid but ultimately not all that useful today.
Migrating to AI is not a tech challenge; it is an intelligence and application challenge.
The new definition of CMO as Chief Momentum Officer creates the space to drive progress everywhere—with AI as the fuel. CMOs are masters of both technology applications (even if not the technology itself) and process integration. In the newly defined CMO role, momentum is the outcome required to demonstrate success.
Lesson 2: Technology Change Is More About People-Driven Change Management
In the digital era, getting people to change how they worked was agonizingly difficult. Companies spent years and millions of dollars trying to get employees to adopt new tools, new workflows, and new ways of thinking. Change management became an industry unto itself, complete with consultants, frameworks, and methodologies — and still, most digital transformation initiatives failed to deliver their promised value. The resistance was cultural, structural, and deeply human.
AI is off to a similar start. Just this month, Gallup released a poll that was disheartening, to say the least: 89% of leaders say AI hasn’t boosted labor productivity.
AI transformation cannot afford that same slow, painful adoption curve. The pace of AI advancement is too fast, and the competitive stakes are too high. Instead, AI must be operationalized — embedded into daily workflows so seamlessly that adoption becomes inevitable rather than optional.
Think about how email replaced physical mail for business communications. Nobody ran a change management program to get people to use email. Email was simply faster, easier, and more effective. It became the de facto communications protocol for all kinds of correspondence. Resistance melted away because the new way of working was obviously better and required no special effort to adopt.
AI must follow the same playbook: not as a tool that sits on top of existing workflows and asks people to change, but as an intelligence layer woven into the work itself, making every task faster, smarter, and more connected. The CMO — who has spent years operationalizing marketing technology into daily workflows and knows exactly how adoption succeeds and fails—understands this better than any other executive in the building.
Lesson 3: The Distributed Adoption Roadmap For Digital Transformation Failed. A Newly Defined CMO Can Set The Adoption Roadmap – Designed To Drive Revenue.
During the digital transformation era, there was no overall owner. There was no uniformity in how technology was brought into the organization. Websites were created as individual projects with different vendors. An e-commerce program was initiated by another group with yet another vendor and tech stack. A customer portal was developed by — you guessed it — yet another external team.
Each was a standalone initiative with its own technology stack, its own design language, and its own data structure. The result was chaos, especially when there was an interdependency between functions. It took years—and in many cases, expensive rip-and-replace rebuilds—to create the integrated digital ecosystems that modern enterprises now take for granted. Many companies are still struggling to fix the digital fragmentation problems that began over 15 years ago.
AI transformation is at risk of repeating this exact mistake.
Today, companies are bringing in AI tools the same way they once brought in websites: as individual projects. The marketing team is experimenting with generative AI for content. The sales team is piloting an AI assistant for prospecting. The customer service team is testing an AI agent for ticket resolution. The product team is exploring AI for feature recommendations. Each initiative is valuable on its own—but without an enterprise-wide architecture, without standards for how AI systems connect, share data, and learn from each other, the result will be the same fragmented mess that digital transformation produced twenty years ago.
What AI demands is not a collection of disconnected experiments. It demands an intent-driven leader to shape the intelligence layer — a connected, enterprise-wide AI architecture that spans departments, shares data, and compounds in value as more functions plug into it.
Building that layer requires someone who can see across every function, who understands how data flows from customer acquisition through sales through product usage through retention, and who can set the standards for how AI is integrated rather than bolted on.
The technology team can build the infrastructure. But the CMO — the Chief Momentum Officer—is the leader who can define the architecture from the customer first and working backward, ensuring that the intelligence layer serves the business rather than the other way around.
Together, these three lessons — coordinated adoption, operationalized change, and connected architecture — are the difference between AI transformation that delivers real enterprise value and AI transformation that produces another generation of expensive, fragmented technology investments. The CMO lived through every one of these failures during the digital era. The CMO knows what happens when departments adopt in isolation, when change management is an afterthought, and when technology is brought in without standards. That hard-won experience is not a liability. It is the most valuable qualification any executive can bring to the AI era.
The Changing Role of the CMO for the Future
No one knows how this plays out, but marketing is clearly the power user of AI due to marketing’s primary role as revenue building and revenue optimization. Once we lean into the lessons from the last major technological revolution, it becomes clear why the CMO, recast as Chief Momentum Officer, will be at the heart of the transformation this time around. In the past, different decades demanded different skills from a CMO, so we can appreciate why making the CMO the center of this change is the right approach today.
CMO Role in 2000–2010: The Age of Orchestration
Rewind to the mid-2000s. The CMO’s job was, at its core, an exercise in orchestration. The marketing leader sat at the center of a well-understood machine: develop the strategy, then execute it through a network of internal teams and external partners. The work flowed in a relatively linear fashion. Brand strategy was set at the top. Creative briefs were written. Agencies—the massive holding company agencies that dominated the landscape—turned those briefs into television spots, print campaigns, outdoor advertising, and media buys. The CMO’s role was to keep the orchestra playing in tune.
This model of marketing leadership was a direct reflection of the broader business environment of the era. The mid-2000s were the tail end of the industrial-era corporation—hierarchical, process-driven, and built on clear functional boundaries. Companies operated through well-defined divisions: finance did finance, operations did operations, sales did sales, and marketing did marketing. The CEO set the strategy, and each function executed its piece. Outsourcing was the dominant organizational paradigm. Companies outsourced manufacturing, outsourced IT, and outsourced creative work to agency holding companies. The CMO’s reliance on external agencies wasn’t a marketing-specific choice—it was the way all of business operated. You focused on core competencies and contracted out the rest.
In this world, the traditional four Ps governed: product, price, place, and promotion. The chief marketing officer and the marketing team were the commercial engine of the enterprise. The CMO led the effort for how the brand showed up in the world, managed the relationships with the agencies who built the work, and ensured that the creative output aligned with the business strategy. It was a powerful role, but a defined one. The boundaries were clear. Marketing was marketing. Sales was sales. Technology was someone else’s department.
The broader economy reinforced this clarity. Growth was largely driven by geographic expansion, brand-driven consumer loyalty, and mass-market scale. The competitive playbook was understood: build a strong brand, buy enough media to reach your audience, and execute with operational discipline. The business environment rewarded specialization and efficiency. And the CMO’s job reflected that environment perfectly—specialized, efficient, and focused on executing a well-understood playbook through a well-understood set of partners.
The CMO of this era was a conductor. They didn’t need to play every instrument—they needed to know which agencies to hire, which channels to prioritize, and how to translate executive strategy into market-facing execution. The orchestra was large, but the sheet music was familiar.
CMO Role in 2010–2020: The Age of Technology and Data Dominance
By 2010, the sheet music had been thrown out the window. The CMO was no longer just an orchestrator of marketing execution—they had become, whether they wanted to or not, a technology and data executive. The explosion of digital channels, the rise of programmatic advertising, the proliferation of marketing technology platforms, and the growing sophistication of customer data fundamentally reshaped the job. The digital transformation had taken hold, and nothing was the same after that.
As before, this transformation in marketing mirrored a transformation in the broader business environment. By the mid-2010s, companies were obsessed with digital transformation. Every function, every product plan, and every boardroom was consumed by the question of how to digitize operations, harness data, and compete in an increasingly platform-driven economy. Companies were pouring billions into cloud infrastructure, enterprise software, data analytics, and digital customer experiences.
The entire business world was undergoing a technology reckoning—and marketing was simply the function where that reckoning hit first and hardest.
The CMO suddenly needed to understand customer data platforms, marketing automation tools, attribution modeling, A/B testing frameworks, and real-time personalization engines. The job that once required a gifted storyteller and conductor now demanded someone who could also function as a part-time CTO, part-time sales executive, part-time procurement expert, and full-time commercial engine.
The business environment of the 2010s also saw the rise of the platform economy and the growing dominance of technology companies as the most valuable enterprises on earth. Google, Facebook, Amazon, and Apple weren’t just technology companies—they were the new gatekeepers of customer attention, customer data, and customer commerce. This shift in economic power had profound implications for every CMO. The channels that mattered most were now owned by a handful of technology platforms, each with its own algorithms, data policies, and monetization incentives. The CMO’s job wasn’t just to understand marketing anymore—it was to understand the economics and politics of the platforms that controlled access to customers.
While finance and operations were still debating cloud migration strategies, marketing was already drowning in data—clickstreams, social signals, mobile engagement metrics, e-commerce conversion funnels, and the endless fragmentation of consumer attention across dozens of platforms and devices. The CMO had to manage not just what the brand said, but how every digital touchpoint performed, was measured, and was optimized.
Acquisition complexity became the defining challenge. The relatively straightforward world of television reach and print frequency gave way to a labyrinth of digital channels, each with its own economics, measurement challenges, and competitive dynamics. The CMO now needed to understand search engine marketing alongside brand building, social media algorithms alongside television upfronts, and influencer partnerships alongside traditional agency relationships. The job had ballooned in scope without a corresponding increase in authority or organizational patience.
This era also saw the rise of the Chief Growth Officer, the Chief Digital Officer, and the Chief Customer Officer. Every new title was, in effect, a splintering of the CMO’s mandate. The result was a fragmented landscape where marketing leadership was spread across multiple executives, none of whom had the full picture.
This fragmentation, too, reflected the broader business environment: companies were struggling to figure out where digital transformation should live organizationally, and they kept creating new roles to manage their confusion.
It was during this period that CMO tenure began its most publicized decline. The role had become impossibly broad, the expectations contradictory, and the metrics unforgiving. CMOs were asked to be brand stewards and performance marketers, creative visionaries and data scientists, strategic thinkers and execution machines. The average CMO tenure dropped to as low as 3.5 years. The decline was driven by the fact that nobody could agree on what the job actually was, because “digital everything” meant an unaimed digital arrow would forever hit its target. It turned out, all this effort undermined a company’s momentum.
The Next Twenty Years: The CMO as Chief Momentum Officer
Here is where the story pivots.
Everything that has made the CMO role so volatile over the past two decades—the technological disruption, the data complexity, the cross-functional scope creep—is precisely what positions the right kind of CMO to become the most important AI leader in the enterprise for the next twenty years.
Once again, marketing’s transformation is a reflection of a much larger shift in the business environment—arguably the largest shift since the industrial revolution.
AI is not really a technology, though it is. AI is not a tool for automating email campaigns or optimizing ad bids, though it does those things.
AI is the most consequential transformation in how businesses operate, using intelligence at the human, application level. It will reshape product development, customer experience, supply chain management, sales processes, financial forecasting, human resources, and every other function in the enterprise. Every company in every industry is now grappling with the same question: how do we fundamentally reimagine our operations, our products, and our customer relationships in a world where intelligent automation can touch every process and every decision? This is not a technology upgrade.
In fact, this change is more about how to reinvent intelligence at a corporate level. How do different systems “share” intelligence? How does “intelligence” drive decisions that affect multiple teams? How will intelligence drive better user experiences that may be housed in different departments?
The AI revolution is a structural reinvention of the enterprise itself—a phenomenon unseen for arguably 75 years.
And unlike previous technology transformations—which were largely owned by the CTO or CIO—AI transformation is a team “intelligence” sport that requires a leader who understands customers, data, technology, and cross-functional orchestration simultaneously.
This is why the business environment now demands a new kind of executive: one who can see across every function, connect data to revenue, and drive intelligence at enterprise scale. That leader should be the CMO.
This is unlike any technological transformation of the past, where CTOs led the change. The CMO of the past waited for the technology team to deploy tools and then figured out how to use them for campaigns.
The CMO of the future can step forward as the enterprise’s transformation engine, driving the organization into an intelligence enterprise. This is when CMO should stand for something new: Chief Momentum Officer.
This is not merely a rebranding exercise. It is a fundamental expansion of the role’s scope and ambition. The new CMO transcends the traditional four Ps because the four Ps no longer live neatly under one function. Product is shaped by customer data that marketing captures. Price is informed by competitive intelligence that marketing monitors. Place is increasingly a digital ecosystem that marketing built. Promotion is now an AI-powered, always-on system that marketing manages. The boundaries between marketing, sales, product, and technology have dissolved. Someone needs to be the connective tissue that holds the enterprise together across all of these disciplines. The CMO — with their unique combination of customer intimacy, data fluency, technology adoption experience, and cross-functional orchestration skills — is the natural candidate.
If you have stayed with this so far, this may feel like CMOs are either engaged in a power grab or it is wildly unrealistic. This is where we must lean into how AI demands new thinking and out-of-the-box methods.
Why? The broader business environment makes this need even more compelling.
We are entering an era where the competitive advantages that mattered in the past—scale, geographic reach, brand awareness—are being commoditized by AI. When every company can generate content at scale, personalize at the individual level, and optimize in real time, the differentiator is no longer what you do but how intelligently you connect what you do across the entire enterprise. The companies that will win are not the ones with the best marketing AI or the best sales AI or the best product AI. They are the ones that integrate AI across all of these functions into a single, coherent, customer-centric revenue engine. That intelligent integration challenge is the defining business problem of the next two decades. And no executive is better positioned to solve it than the CMO.
How? The answer rests with understanding the limits of the current C-suite structure and the upside of a CMO as Chief Momentum Officer.
Consider what the CMO must do in the future to accelerate a company’s growth momentum. They must lead the integration of AI into the customer journey—not just in marketing communications, but across sales enablement, product development feedback loops, customer service automation, and revenue forecasting. They must be the executive who understands how an AI-powered recommendation engine in the product connects to the AI-driven personalization in the marketing stack, which connects to the AI-assisted sales process, which feeds data back into the AI models that improve the product. No other C-suite role has this end-to-end vantage point.
The CTO understands the technology but not the customer. The CFO understands the numbers but not the experience. The COO understands the operations but not the brand. The CEO understands the strategy but cannot personally manage the integration across all of these domains. The CMO—reimagined as Chief Momentum Officer—is the executive who bridges all of these functions because they have spent the last decade learning, painfully, how to operate at the intersection of data, technology, creativity, and commercial outcomes.
The Change That Changes Everything
The critical shift starts with focusing AI transformation on the intelligence layer. The point is not an AI tool that can write an article faster or AI that can optimize a website better. It is a connective layer between functions, groups, and departments.
The leadership team needs to understand the enormous win if intelligence at scale is unleashed within the organization.
The mandate to broaden the CMO’s role is not something the CMO should wait for. It is something that should be activated this very moment. The CMO of the future becomes the executive who identifies AI opportunities across the enterprise, pilots them in marketing—where iteration speed is fastest and measurement is most developed—and then scales them across sales, customer success, product, and operations.
The CMO in this context is a fundamentally different kind of CMO. This CMO doesn’t just manage campaigns, channels, and agency relationships but serves as the connective intelligence layer of the entire enterprise—one who doesn’t wait for the technology team to hand down AI tools but who leads the company’s AI-driven evolution from the front.
This is not a theoretical thought experiment, either. The organizations that will win over the next two decades are the ones that most effectively integrate AI into their revenue engine—the connected system of marketing, sales, product, and customer experience that drives growth. The CMO is the executive who has spent the last decade managing technology transformation under impossible conditions. The CMO is the only executive who has been forced to become fluent in data, agile in execution, and accountable to measurable outcomes at a pace that no other C-suite role has experienced.
The irony is almost poetic.
The very forces that made the CMO the most vulnerable person in the C-suite — the relentless technology change, the impossible breadth of the mandate, the constant pressure to prove ROI — are the exact forces that have forged the skill set required to lead the AI-driven enterprise.
The CMO has been training for this moment for twenty years. Now is the moment for CMOs to shine with the mandate from the C-suite.
From CMO to the “New” CMO – The Vital Linchpin to AI Success
AI transformation will be profound and will challenge everything: ethics, growth plans, training, social and community responsibility, and policies — anything that impacts people.
Just as the role of CMOs has changed as business has changed, the next era requires a complete reinvention of what those three letters stand for. The CMO of the future cannot be framed as a department head. The CMO of the future must be framed as the enterprise’s intelligence layer—the executive who connects data to insight, insight to strategy, strategy to execution, and execution to revenue across every function in the organization.
AI makes this reframing not just possible but necessary. When every function is being transformed by AI, someone needs to orchestrate the transformation of organizational intelligence. When the line between marketing, sales, and product disappears inside an AI-powered revenue engine, someone needs to manage the intelligence integration. When the customer journey spans dozens of AI-driven touchpoints that cross every traditional departmental boundary, someone needs to own the experience end to end.
The business environment has always shaped the CMO role. Twenty years ago, an era of stable hierarchies and outsourced execution produced a CMO who was a conductor of agencies. Ten years ago, an era of digital disruption and platform economics produced a CMO who was a reluctant technologist. The next twenty years — defined by AI-driven transformation at a scale and speed that dwarfs anything that came before — demand a CMO who is the enterprise’s transformation engine. Each era got the CMO it deserved.
The question now is whether the CMO will rise to meet the era that is coming.
The next twenty years will not hand this mandate to marketing leaders by default. It must be seized. CMOs must stop defining themselves by the campaigns they run and start defining themselves by the enterprise outcomes they drive. They must stop waiting for the technology team to bring them AI tools and start leading the AI agenda for the entire company. They must lean into their extraordinary skills with data, with results, and with demonstrated cross-functional impact.
The age of the CMO as campaign manager is over.
The age of the CMO defined as Chief Momentum Officer has just begun.
This redefined role encompasses the intelligence pipeline it owns: from market signal all the way through to realized revenue. The outcome for every organization seeking to thrive during this transformation depends on whether it is willing to see this shift for what it is — a remarkable and remarkably difficult epoch in human progress.
Game on.
