AI Alone Won't Drive Marketing Growth, CMO Council Research Shows
Organizations that combine artificial intelligence with human judgment are seeing dramatically better results than those deploying AI alone, according to research released by the CMO Council and WongDoody.
The study surveyed 371 senior marketing leaders globally and found that the highest-performing organizations-called "Power Partners"-aren't the fastest AI adopters. They're the ones redesigning workflows to blend machine intelligence with human creativity, judgment, and emotional intelligence.
The Performance Gap Is Widening
The numbers show a clear divide between organizations effectively combining AI and human marketers versus those struggling with integration:
- 73% of Power Partners exceeded ROI expectations or achieved measurable returns, compared to 22% of other organizations
- 86% of Power Partners saw moderate-to-major campaign ROI impact, versus 43% of peers
- Nearly 70% of Power Partners consistently build strong emotional customer connections, compared to 40% of others
Power Partners also outperform in personalization, creativity, speed-to-market, and adaptability.
Workflow Redesign Matters More Than Technology Choice
Simply adopting AI without changing how work gets done doesn't work. The research identified a critical gap: 70% of Power Partners redesigned workflows for AI-human collaboration, compared to just 7% of other organizations.
The most successful teams use AI to handle scale and pattern recognition while keeping humans in control of strategy, meaning, and decision-making. This requires continuous feedback loops and defined collaborative processes-94% of Power Partners have these in place, versus 42% of peers.
What's Blocking Most Teams
Despite investing in AI, most marketing organizations struggle to make it work. The research identifies five primary barriers:
- Training and skills gaps that limit adoption and confidence
- Lack of trust in AI outputs, slowing decisions and execution
- Concerns about brand authenticity in automated content and interactions
- Poor data readiness, with fragmented or low-quality data undermining effectiveness
- Unclear role definitions between humans and AI systems
These are organizational and cultural problems, not technical ones. Many teams are layering AI onto existing processes rather than rethinking how marketing work happens. This approach stalls pilots, delivers weak ROI, and leaves teams behind competitors who've adapted.
Regional and Business Model Differences
The gap between leaders and laggards varies by geography and business type. U.S. organizations are further along in AI adoption and ROI but struggle to maintain emotional connection at scale. European teams face structural constraints from fragmented data. APAC organizations face cultural resistance to change despite growing investment.
B2C and hybrid companies are significantly more likely to achieve strong ROI and redesign workflows effectively. B2B organizations lag, often treating AI as a productivity tool rather than a collaboration partner.
The Competitive Stakes Are Rising
As AI influences buyer behavior and purchasing decisions, the distinction between task-focused and judgment-focused marketing teams will matter more. If your team's value comes from completing tasks, AI will replace it. If it comes from judgment, AI will amplify it.
The real competitive advantage isn't processing volume. It's the human insight that turns data into compelling brand stories. Learn more about AI for Marketing or explore the AI Learning Path for CMOs to understand how to build effective collaboration between your team and AI systems.
The full report is available from the CMO Council.
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