Rewriting the CMO Playbook With AI in Marketing Strategy
| Synopsis: Wharton CRO Program and Imperial Emerging CEO Programme course leader Kelly Schneider Lees explains how CMOs can leverage AI in marketing strategy to deliver growth and results. |
Marketing has always been the canary in the digital coal mine. From the beginnings of mainframe database marketing in the ’90s to the rise of social and ecommerce in the 2000s, the function has consistently absorbed—and driven—technological change. But the latest wave, powered by AI, is reshaping the very foundation of how marketing operates.
AI is not just another tool in the tech stack. It’s a structural force, prompting chief marketing officers (CMOs) to re-evaluate everything from talent strategy to budget allocation to brand governance. According to Gartner’s 2024 study on CMOs, nearly 40% of today’s marketing budgets are dedicated to change and transformation1. That’s more than a shift—it’s a reckoning.
Here’s how AI in marketing strategy is pushing CMOs to reset their priorities across four critical domains.
1. AI in Marketing Strategy: From Funnels to Ecosystems
Growth remains the top priority—but the mechanics of achieving it are evolving fast. The smartest CMOs are moving from traditional funnel-thinking to dynamic ecosystem strategies that put the customer at the center.
Artificial intelligence in marketing enables this shift by powering dynamic segmentation, real-time journey orchestration, and increasingly autonomous engagement. “AI agents are entirely changing the marketing playbook. Instead of rigid funnels, innovative companies are building responsive omnichannel ecosystems where AI can engage customers at every touchpoint,” says Prasad Thammineni, CEO of Agentman.ai.2 “The real magic happens when these agents tap into first-party data to deliver personalized experiences that traditional approaches simply can’t match.”
At the same time, the ability to own and activate proprietary customer data is emerging as a durable competitive edge. First-party data, enriched by AI, allows brands to predict needs, personalize at scale, and stay relevant without over-relying on third-party platforms. This reflects the growing importance of AI in marketing strategy which CMOs must take cognizance of to build data ecosystems that are not only privacy-compliant, but insight-rich.
The new strategic mindset? Let AI enable, not dictate, a customer-first growth model—with data as your moat. This mindset aligns closely with the future of AI in marketing, where systems must adapt to consumer behaviors in real time.
2. AI in Talent Management: Hire for Curiosity, Not Just Credentials
Emerging marketing technologies are redefining roles at every level. CMOs are looking for hybrid talent—people who can blend creative thinking with analytical fluency, and who show a bias toward experimentation and learning. Such talents are best equipped to extract the key benefits of AI in marketing, such as content automation and predictive analytics.
Nichol Bradford, Expert-in-Residence for AI at SHRM, puts it succinctly: “Adaptability and ideation are the top two survival skills in the age of AI. Empowering learning and change are the top leadership skills.”3
Organizational models are shifting too. CMOs are leaning into matrixed teams that blur the lines between marketing, IT, and analytics. New roles are emerging—AI content specialists, data translators, and prompt engineers are a few examples. But core marketing fundamentals still matter: understanding customer needs, translating business goals, and delivering value.
But the biggest talent challenge may not be skills—it’s alignment. Jasper.AI’s The State of AI in Marketing 2025 study found that 65% of CMOs see AI as a top priority, while only 27% of managers agree their organizations are mature in their AI usage4. That gap signals a need not only for training but also for clearer communication, change management, and cross-level trust, without which AI risks are seen as a top-down initiative rather than a team-wide opportunity.
3. AI for Budget Allocation: From Spend Management to Value Creation
The promise of AI—faster, cheaper, smarter—is compelling to finance leaders. CMOs are under pressure to prove that AI can reduce costs and enhance results across campaign development, creative production, and performance analytics.
Innovative teams are already using artificial intelligence in marketing to curb costs and boost efficiency. The agency Media.Monks, for example, has built an AI-enabled workflow that significantly cuts production time and costs for global campaigns5.
But AI expenditure raises new questions: Is it capex or opex? Is it enabling marketing, or replacing it? Savvy CMOs are working closely with CFOs to tie AI investment directly to business value—whether that’s operational efficiency, audience reach, or brand lift. This collaboration is expected to be a major driver of the future of AI in marketing strategy.
4. AI Ethics for Brand Safety: Guardrails Before Growth
No one wants to be the CMO whose brand becomes the case study for AI gone wrong. Recent headlines make the risks clear. Under Armour faced criticism for using a director’s AI-generated imagery without permission. Levi’s was called out for using AI-generated models under the guise of promoting diversity—only to be accused of sidelining real, diverse talent.
In contrast, Dove has taken a leadership stance with its “Keep Beauty Real” initiative, issuing a public AI playbook designed to uphold its brand values in the age of synthetic media6.
The takeaway: Ethics isn’t optional. CMOs must lead the development of AI guidelines, establish governance frameworks, and stay ahead of emerging risks such as deepfakes, hallucinated content, and data misuse.
Final Word: Lead the Change—Or Chase It
AI won’t replace marketers—but it will absolutely change what marketing looks like. The CMO’s job now is to lead this shift with intent. That means focusing less on shiny tools and more on building resilient capabilities. Less on short-term hacks, more on long-term brand value.
CMOs don’t just need new tools—they need a new playbook; one designed for growth, integrity, and speed in a world where AI is no longer optional.
(Kelly Schneider Lees is a course leader for the Wharton CRO Program and Imperial Emerging CEO Programme. All views expressed here are their own.)
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