The real AI question for CMOs is no longer adoption. It is leverage.
That is the central message of The CMO AI Leverage Report from Open Future Forum.
The report looks at how CMOs and marketing leaders are buying, funding, deploying, and measuring AI in 2026. It is not simply another AI trends report. It is an operator-research report focused on the real boardroom question now facing marketing leaders:
What is AI actually changing inside the marketing operating model?
For the last two years, much of the AI conversation in marketing has been about tools and use cases. Can AI write content? Can AI support campaigns? Can AI improve customer insight? Can AI help marketing teams move faster?
Those questions still matter. But they are no longer enough.
The more important question is now:
Can AI help marketing create more business impact without adding more budget, more headcount, or more agency spend?
Watch the Executive Briefing
I covered the report in this Executive Briefing on The Murray Newlands Show:
You can also watch the video directly on YouTube here: The CMO AI Leverage Report — Executive Briefing.
Why The CMO AI Leverage Report Matters
The CMO AI Leverage Report argues that marketing got access to AI budget early. Now marketing has to prove what that AI budget actually bought.
That is a very different conversation from AI experimentation.
CMOs are being asked to move faster, create more content, understand customers better, improve attribution, support sales, protect the brand, experiment with AI agents, and prove ROI.
But the CMO is not always being given a meaningfully larger budget to do it.
That creates the new marketing leadership challenge:
- Can AI increase marketing output?
- Can AI reduce agency dependency?
- Can AI improve customer insight?
- Can AI make campaigns more efficient?
- Can AI help marketing prove attribution?
- Can AI show the CFO what the company can now stop paying for?
That is the leverage question.
The CMO AI Leverage Index
One of the most important ideas in the report is the CMO AI Leverage Index.
The CMO AI Leverage Index is designed to measure whether AI is actually helping marketing teams grow output without growing headcount, agency spend, or budget.
That distinction matters.
Buying AI tools is not the same as creating AI leverage.
Running AI pilots is not the same as changing the operating model.
Producing more content is not the same as improving business performance.
The strongest marketing teams are not only asking what AI can create. They are asking what AI can change.
From Marketing AI Tools to Marketing AI Agents
Another major theme in The CMO AI Leverage Report is the shift from marketing AI tools to marketing AI agents.
This is not just about using AI to write copy faster.
It is about AI agents supporting real go-to-market workflows:
- Research agents
- Campaign planning agents
- Prospecting agents
- Outbound agents
- Lifecycle marketing agents
- Content repurposing agents
- Brand review agents
- Pipeline support agents
This moves marketing from individual productivity gains to system-level leverage.
The shift is from tools to agents. From isolated experiments to workflow orchestration. From content production to pipeline systems. From AI as a side project to AI as part of the marketing operating model.
Why This Is a C-Suite Issue
The CMO AI Leverage Report is useful for CMOs, but it is not only a report for CMOs.
It matters to CEOs because marketing AI is tied to growth.
It matters to CFOs because AI spend now needs proof.
It matters to CIOs because AI agents touch systems, data, and workflow.
It matters to CISOs because marketing agents act in public, in the brand’s voice, often using customer and prospect data.
It matters to CROs because AI does not respect the old wall between marketing and sales.
And it matters to AI founders because the buying committee for AI is changing.
The CMO Buyer Paradox
One of the most interesting findings in the report is the disconnect between who uses marketing AI and who sellers name as the buyer.
AI founders often point to CIOs, CTOs, business unit leaders, and bottom-up users as the owners of the buying decision.
But that is not the whole story.
Many AI companies are now pricing around usage, performance, and outcomes. Once AI is priced around outcomes, attribution becomes central.
Attribution is no longer just a marketing dashboard.
It becomes the contract.
It becomes the proof.
It becomes the economic case.
And the function that understands attribution, campaigns, customer journeys, pipeline influence, and brand impact is marketing.
So even when AI sellers do not yet name the CMO as the buyer, the economics of AI are pulling the CMO into the buying decision.
AI, AEO, and the New Marketing Authority Problem
The report also points to another important change: marketing teams are no longer optimizing only for search engines.
They are now optimizing for answer engines.
Customers are not only searching on Google. They are asking AI systems for answers.
That means CMOs now need to think about SEO, AEO, and GEO together:
- SEO: Search engine optimization
- AEO: Answer engine optimization
- GEO: Generative engine optimization
The companies that win in the next stage of marketing will be the companies that become the answer.
That requires more than content volume. It requires authority, clear entity positioning, credible research, original data, executive perspective, and a body of work that AI systems can understand, cite, and connect.
That is why reports like The CMO AI Leverage Report matter.
They are not just content assets. They are authority assets.
Read the Medium Post
I also published a longer Medium article on this topic here:
The CMO AI Leverage Report: Why the Real AI Question for Marketing Is No Longer Adoption
The Medium post expands on why the next marketing AI benchmark is not adoption, but measurable operating leverage.
The New CMO Mandate
The old marketing AI question was:
What can AI help us create?
The new marketing AI question is:
What can AI help us prove?
Can it prove leverage?
Can it prove attribution?
Can it prove speed?
Can it prove customer insight?
Can it prove efficiency?
Can it prove that marketing can do more without simply spending more?
That is the new CMO mandate.
Marketing spent the AI money early.
Now the CMO has to prove the leverage.
That is what The CMO AI Leverage Report from Open Future Forum is about.
