Key Highlights
- High-performing organizations are three times more likely to redesign workflows for AI-human collaboration, emphasizing the importance of structural change over mere technology adoption.
- Workflow redesign, not AI technology, is the strongest predictor of marketing success, yet nearly 80% of organizations fail to implement it effectively.
- Human judgment remains vital for the ethical use of data, brand voice and maintaining consumer trust, especially as AI takes over pattern recognition and content generation.
- The future competitive advantage lies in organizations that combine AI capabilities with disciplined execution and strategic human oversight.
- Management challenges such as skills, governance and organizational alignment are the main obstacles to effective AI integration, not the technology itself.
AI has a marketing problem. Companies have invested billions in AI. Marketing teams race to adopt copilots, agents and automation. Yet the business impact remains uneven at best.
The CMOs getting AI right aren’t buying better technology. They’re building better marketing organizations. Our latest CMO Council report, Marketing’s Power Partner: AI and the Human Essence, found that the highest-performing marketers redesign workflows so AI and humans make each other better. That’s becoming the next competitive advantage.
It’s not even close. The performance gap runs across nearly every measure that matters:
- 73% of the highest-performing organizations report measurable or better-than-expected AI ROI, compared with 22% of less integrated organizations.
- 86% report a moderate to major impact on campaign ROI, compared with 43% of less integrated organizations.
- 60% report a major improvement in personalization, compared with just 10% of less integrated organizations.
- Nearly 70% consistently build meaningful emotional connections with customers, compared with just 40% of less integrated organizations.
Recent research from McKinsey reinforces the point. Workflow redesign — not AI adoption — is the strongest predictor of business value. Yet nearly 80% of organizations never redesign the workflow. They simply bolt AI onto existing processes and expect transformational results.
The highest-performing marketers redesign workflows so AI and humans make each other better. That’s becoming the next competitive advantage.
How AI and human marketers create more value together
Much of the conversation around AI in marketing still revolves around replacement. Which jobs should disappear? Which tasks should become automated? How much content can AI generate? Those questions miss the bigger opportunity.
The real question is, how can marketers and AI create value together?
AI excels at processing massive amounts of information, recognizing patterns, generating alternatives, optimizing campaigns and executing repetitive work at remarkable speed. Human marketers excel at understanding customers, building emotional connections, exercising judgment, shaping strategy and making creative leaps that don’t emerge from statistical probability.
In our report, Stephen Shultz, vice president of brand marketing at First American, puts a spotlight on this. “AI is great at pattern recognition and surfacing what is common,” he says. “But in brand marketing, we want to break from that. It takes our creative people to figure out the right disruption to that pattern.”
Organizations that intentionally define those complementary roles consistently outperform those that leave the relationship to chance.
Why workflow redesign drives stronger AI marketing performance
Many AI initiatives break down because CMOs drop AI into existing and often flawed workflows. The result isn’t transformation. It’s dysfunction at machine speed.
Fragmented data produces fragmented insights. Slow workflows become faster versions of the same inefficient processes. Siloed teams generate more content, launch more campaigns and make more decisions without becoming any more aligned.
That’s why workflow redesign matters. The goal isn’t to squeeze more output from marketers. It’s to build an operating model where AI and humans strengthen each other’s work. Connected data gives AI better context. Collaborative teams turn insights into coordinated action. Clear governance sets boundaries. Human judgment keeps the work relevant, responsible and on brand.
Our report shows just how differently the highest-performing marketing organizations approach the work:
- 70% are prepared to redesign workflows for AI-human collaboration, compared with only 7% of less integrated organizations.
- 94% have established clear processes for AI-human content collaboration, versus just 42% of less integrated organizations.
- 67% report that AI-human collaboration has a major impact on speed and efficiency, compared with 18% of less integrated organizations.
They aren’t running scattered experiments. They’re building structured systems for collaboration.
McKinsey describes the next step as replacing linear handoffs with continuous AI-human learning loops. AI analyzes customer behavior, identifies opportunities and generates recommendations. Marketers add business context, challenge assumptions and set strategic direction. AI measures performance and feeds new insights into the next cycle. The workflow keeps learning because the technology and the people keep improving the work together.
Changing software is easier than changing people.
Where human judgment matters most in AI-powered marketing
As AI takes over pattern recognition, content generation and optimization, the value of marketers shifts upward. Strategy becomes more important. Judgment becomes more important. Stewardship becomes more important. The work is changing, but the human role isn’t disappearing.
Human judgment shapes the decisions AI can’t make on its own: how customer data should be used, where personalization becomes intrusive, how transparent brands should be about AI, and when ethics should outweigh efficiency. Those responsibilities don’t disappear as AI advances. They become even more important.
When asked how they ensure consumer trust and contextual awareness in AI, marketers most frequently pointed to these five practices:
- 67% cited ensuring the ethical use of data.
- 63% cited maintaining brand voice.
- 62% cited prioritizing long-term trust over short-term gains.
- 61% cited safeguarding consumer privacy.
- 54% cited building checks and balances throughout AI workflows.
Notice what’s missing from that list. Faster models. Bigger language models. Better prompts. The biggest trust builders aren’t technical capabilities. They’re human decisions. AI may generate the output, but marketers remain responsible for what reaches customers — and for the trust customers place in the brand.
Why organizational change remains a barrier to AI marketing success
If redesigning workflows creates such dramatic performance gains, why aren’t more organizations doing it? Because changing software is easier than changing people.
Our research found that organizations continue to struggle with AI skills, governance, trust, organizational alignment and uncertainty over where AI should lead versus where humans should remain in control. These are management problems, not technology problems.
In our report, Laurent Hren of Orange Business made an observation that perfectly captures the challenge: “Should you keep an existing process when you can double the value with an AI process? Sounds like an easy decision, but it’s not,” he says. “Changing a process is complex and requires people to accept it, or else you won’t get the results you’re after. There’s also no baseline to compare because the new AI process you’re evaluating didn’t exist six months ago.”
How AI-human collaboration creates a marketing advantage
Within a few years, most marketing organizations will have access to similar AI capabilities. The technology itself will become increasingly commoditized. What won’t be commoditized is how organizations choose to work.
The harder advantage to copy is an organization that knows how to combine AI, human judgment and disciplined execution. The future of marketing belongs to the CMOs who redesign marketing so AI and human judgment make each other better.
About the Author
Tom Kaneshige
Contributor
Tom Kaneshige is the Chief Content Officer at the CMO Council. He’s a former senior analyst at Forrester Research and journalist at Informa, IDG and TechTarget. The CMO Council is a global affinity network of 16,500 senior marketing executives in 10,000 companies controlling nearly $1 trillion in annual, aggregated marketing spend.
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