How marketing leaders are winning with AI today

There is a significant gap between marketing’s strategic potential

Many executives still view marketing as a delivery function rather than a strategic one. That mindset is outdated. AI has already changed how customers discover products, how markets behave, and how growth opportunities emerge. Yet, too many marketing leaders are still judged by how well they execute campaigns, not by how much they shape enterprise direction.

This needs to change. AI is now central to how companies define relevance, position their brands, and compete for growth. The challenge isn’t access to technology, it’s leadership vision. A marketing leader’s role should extend beyond managing creative workflows. It should include using AI insights to adjust enterprise strategy, influence product innovation, and guide long-term brand evolution.

Executives who continue to evaluate CMOs narrowly risk missing the larger opportunity. Gartner’s research shows 82% of business leaders believe their brands and company cultures must evolve to stay competitive with AI. Yet only 15% of CEOs think their CMOs are strong in AI proficiency. That’s a striking signal that marketing’s influence at the highest level is still undervalued.

For decision-makers, this creates a leadership challenge. Companies that redefine the role of marketing in strategic transformation will move faster and operate with more clarity. Those that don’t will find themselves lagging behind as markets evolve at an increasingly rapid pace.

Traditional marketing methods are increasingly inadequate in an AI-driven marketplace

Generative AI is changing how customers find and trust information. Buyers no longer rely solely on brand messaging or search results, they use AI tools to research, compare, and make decisions inside systems that marketers can’t directly influence. Meanwhile, the same tools are producing massive volumes of generic content, flooding the market and eroding consumer trust.

This shift makes traditional marketing tactics, such as optimizing channels or simply producing more creative content, far less effective. Efficiency without insight doesn’t deliver growth. Marketers need new ways to understand invisible customer journeys and identify where authentic trust is breaking down. AI’s real value comes from helping teams see patterns that humans can’t detect alone, providing direction when conventional metrics fail.

Gartner’s research shows that the average marketing leader today has only an 11% chance of exceeding CEO and CFO expectations. That number reflects a deep structural issue. CEOs want marketing to play a strategic role in defining business direction, but many marketing organizations still operate tactically, focusing on immediate outputs instead of enterprise-level impact.

For executives, the message is clear: AI demands a fundamental rethinking of what “effective marketing” means. Leaders must shift their focus from short-term campaign metrics toward building agility, trust, and differentiation that hold up in constantly changing markets. The companies that thrive will be the ones whose marketing teams can move from executing plans to actively shaping the strategy that drives them.

Market-shaping leaders are redefining marketing’s role by using AI to drive enterprise strategy

The strongest marketing leaders today don’t wait for direction, they help create it. Gartner refers to them as “market shapers.” They’re not just early adopters of AI tools; they’re translating data into business decisions. These leaders use AI to study shifting customer needs, decode weak signals in market behavior, and identify openings for growth before competitors react.

This is a new model of leadership. Instead of limiting AI to task automation or campaign optimization, market-shaping leaders integrate it into strategic planning. They use insights generated by AI to decide where to compete, how to differentiate, and what innovations deserve investment. They don’t separate marketing strategy from business strategy, they make them one and the same.

Executives should note that this shift expands marketing’s influence across the enterprise. A marketing leader who can guide priorities using AI insights strengthens alignment between functions, from product to operations to finance. Gartner’s findings confirm that market shapers consistently outperform peers. They show higher proficiency in strategy, systems thinking, and data literacy, giving them a measurable advantage in both agility and decision quality.

For senior leaders, enabling this capability means redefining the marketing function’s purpose. It’s no longer about message delivery or brand visibility alone; it’s about turning intelligence into growth. Organizations that empower market-shaping leaders with the tools and authority to guide strategy will find themselves ahead because they thought smarter.

Viewing AI solely as a tool for efficiency limits marketing’s potential to generate strategic insights

Most organizations start their AI adoption journey with the goal of improving efficiency. That’s useful but incomplete. Automating repetitive tasks and optimizing campaigns saves resources, but it doesn’t unlock AI’s full strategic power. The real value lies in AI’s ability to accelerate understanding, predicting market changes, identifying new growth areas, and revealing unseen customer needs.

Marketing teams that stop at automation remain trapped in an operational role. Market-shaping teams go further. They use AI to test ideas quickly, model potential outcomes, and validate assumptions before major investments are made. This creates informed decision-making based on evidence. When used this way, AI becomes a driver of foresight and an amplifier of human intelligence.

Gartner’s research reinforces this perspective. Teams led by market-shaping leaders, those who apply AI to insight generation rather than efficiency, consistently demonstrate stronger strategic and analytical skills. These teams ask better questions, challenge generic AI outputs, and integrate findings into actionable business moves.

For executives, this is a leadership imperative. Companies should invest as much in developing their people’s ability to reason with AI as in the tools themselves. The focus should be on building strategic literacy across the organization, teaching teams how to interpret what AI reveals and act on it decisively. Efficiency improves organizations. Strategic insight transforms them.

Robust brand strategy becomes increasingly important as a differentiator amid the challenges posed by AI

AI has made information easily accessible, but it has also made trust harder to sustain. Markets are full of content that looks and sounds the same, often produced by algorithms rather than people. In this environment, a strong and credible brand becomes not just an advantage but a necessity. Customers choose based on trust long before they compare features or pricing, and trust now depends on how well a brand aligns with real human values.

Market-shaping leaders are already responding to this shift. They use AI insights not just to target audiences but to understand deeper customer concerns, what people question, what they believe, and what signals build credibility. They then use those insights to refine positioning, guide product development, and adjust enterprise messaging. This approach turns brand strategy into a core input for business growth, tightly linked to innovation and trust.

Executives should be aware that brand strategy is no longer a creative exercise; it’s a data-driven discipline. Gartner’s research shows that companies with strong brand alignment to business strategy are twice as likely to exceed their growth goals. The result doesn’t come from spending more on marketing but from directing brand efforts toward reinforcing the company’s long-term direction.

For leaders, the message is simple: as AI accelerates commoditization, brand is one of the few levers that can establish meaningful difference. A strong brand anchored in real purpose and validated through AI-driven insight helps maintain visibility and credibility even when markets become overcrowded. The most successful leaders will treat brand not as a marketing function but as a business discipline that drives enterprise focus, trust, and growth.

Four AI-empowered behaviors distinguish successful market-shaping marketing leaders

The organizations that perform best in the AI era are led by marketing executives who understand how to convert technology into strategic direction. Gartner identifies four key behaviors that define these leaders: the Customer Influencer, Customer Advocate, Market Designer, and Market Wayfinder. Each represents a distinct way of using AI to move from insight to enterprise action.

The Customer Influencer uses AI to maintain brand trust and visibility across AI-driven customer journeys. This means continually monitoring where and how their brand appears, identifying misinformation quickly, and keeping interactions accurate and consistent.

The Customer Advocate focuses on synthesizing multiple layers of customer feedback, direct input, observed behaviors, and inferred signals, to guide company priorities. AI helps extract patterns from these sources, grounding decisions in what customers actually value, not just what leaders assume they want.

The Market Designer employs AI tools such as synthetic data and rapid prototyping to test new concepts safely and efficiently before major investment. This method keeps innovation aligned with brand ambition and eliminates blind spots early in development.

Finally, the Market Wayfinder uses AI-powered scenario modeling to interpret disruptive trends, identify risks, and present concise market narratives that help executive teams make unified decisions.

Executives should understand that these behaviors don’t depend solely on technology. They rely on leadership judgment, team capability, and strategic clarity. Gartner’s findings show that marketing leaders who develop these competencies outperform peers because they integrate AI into the organization’s decision-making process, not as an isolated technology initiative but as a core management capability.

For companies, embedding these four behaviors within leadership teams ensures that AI strengthens strategy rather than distracts from it. The goal is not to chase every new tool, but to focus on building disciplined, insight-driven ways of leading that allow the enterprise to adapt faster and grow more intelligently.

Key takeaways for leaders

• Redefine marketing’s role for strategic impact: Most CMOs are still evaluated on execution, not enterprise transformation. Leaders should expand marketing’s purpose to guide strategy and innovation, positioning it as a driver of growth in the AI era.
• Evolve beyond traditional marketing tactics: Old playbooks centered on channel performance and creative optimization no longer ensure relevance. Executives should push marketing teams to use AI for understanding invisible customer journeys and managing trust in dynamic markets.
• Empower market-shaping leadership: “Market shapers” integrate AI into strategic decisions instead of limiting it to automation. Companies should cultivate marketing leaders who turn insights into direction, aligning brand, product, and business priorities.
• Use AI for foresight: Automation saves time but doesn’t create strategic value. Leaders should encourage teams to apply AI for critical thinking, scenario testing, and predictive insight to strengthen organizational decision-making.
• Make brand trust a strategic differentiator: In AI-driven markets where content is commoditized, trust becomes the real marker of distinction. Executives should align brand and business strategy tightly, using AI insights to reinforce authenticity and guide growth.
• Adopt the four core AI-driven leadership behaviors: The best marketing leaders serve as influencers, advocates, designers, and wayfinders. Organizations should build teams that use AI to detect misinformation, aggregate customer signals, validate innovation, and anticipate disruption.