AI is a Marathon.

Most CMOs will run it like a sprint.

CMOs are under pressure to move faster as the marketing industry leans deeper into the AI bubble, but speed will not define outcomes. What matters is the quality of decisions under that pressure.

Most AI Work Looks like Progress. It isn’t.

AI activity is everywhere, but real impact is harder to find. Marketing leaders are under pressure to show momentum, and teams respond with work that looks impressive but rarely delivers meaningful results. Innovation theater is becoming the norm, where pilots are built to impress, campaigns showcase AI for attention, and very little of it scales or sticks.

For CMOs, the challenge is not whether to use AI, but where it actually moves the needle, because doing more is easy, but doing what matters is still rare.

What Actually Wins: The Three Layer Model

The organizations that come out ahead won't just be the ones that adopted AI. They'll be the ones that built the right conditions for AI to produce outcomes nobody else can replicate.

1

Proprietary Data —
The Foundation

Most marketers only see the surface. First-party data is the full body of knowledge a company holds, and it's the layer most organizations neglect. Public AI models produce broadly similar outputs for everyone who uses them. Your proprietary data is the moat.

Get your data house in order. Structure it, connect it, and clean it. The systems above it are only as powerful as the foundation below.

AI Systems —
The Engine

Large Language Models are a starting point, not a destination. Real competitive advantage comes from agentic workflows and autonomous systems that handle entire processes with minimal human intervention. Off-the-shelf tools get you to average. Custom, fine-tuned models trained on your proprietary data get you somewhere nobody else can follow.

2

Move beyond generic tools. Build models your competitors cannot copy, because they don't have your data.

Human Talent —
The Ceiling

AI raises the floor. Human talent raises the ceiling. When every organization is running the same tools, the differentiator becomes judgment: knowing what should be made, why it deserves to exist, and what it needs to feel like. Call it Creative Taste. It cannot be automated.

3

Invest in AI-native specialists who can push tools beyond their default settings. Generic in, generic out.

How the Marathon will be Won

CMOs who win with AI will make fewer, better decisions about where to focus. They will resist the pressure to turn every capability into action. Instead, they will concentrate only where effort can create measurable, compounding advantage. In a system moving this fast, clarity will matter more than scale, and discipline more than activity.

Over time, this discipline will separate those who accumulate activity from those who build lasting advantage.
Sprint vs Marathon — One Page View

We are in a Race

There is a version of the AI story being told in boardrooms everywhere right now.

Dimension Sprint (Incumbent) Marathon (Challenger)
Time Horizon Quarters. Visible wins for the next board deck. Decades. Foundations that compound over years.
Primary Investment AI models and tools. What's newest and most visible. Data pipelines, RAG systems, proprietary knowledge.
Success Metric Pilots launched. Content volume. Demo impressiveness. Value hypothesis met. Baseline improved. Scaled or stopped.
Data Strategy Public models or generic inputs. Whatever ships fastest. First-party data structured, cleaned, & connected.
Creative Approach AI as the differentiator. Novelty as the story. Human taste as the differentiator. AI as the engine.
Talent Model Headcount reductions. AI as a cost lever. Frees capacity for higher-value creative & strategic work.
Final Outcome Replaceable Converged Distinctive Durable
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