The latest Gartner 2026 CMO Spend Survey reveals an interesting contradiction. CMOs are investing more in AI than ever before, yet most organisations still aren’t equipped to turn that investment into measurable business outcomes.
On average, 15.3% of marketing budgets are now allocated to AI initiatives, and 70% of CMOs say becoming an AI leader is a critical goal for 2026. Yet only 30% report having the organisational readiness needed to scale AI effectively.
The message is clear: the challenge isn’t adopting AI. It’s executing with it.
AI investment is growing, but readiness isn’t
For many marketing teams, AI has moved beyond experimentation and into everyday marketing. It’s helping generate content, accelerate production and improve efficiency across campaigns.
The problem isn’t access to the technology. It’s integrating it into the way marketing teams actually work.
Gartner found that 70% of CMOs admit their internal marketing processes aren’t mature enough to effectively implement and scale AI. The report warns that many organisations are investing in AI faster than they are building the data foundations, governance, workflows and talent needed to support it.
Without those operational foundations, AI becomes another tool rather than a driver of growth.
AI doesn’t remove complexity. It creates more of it.
One of the biggest misconceptions surrounding AI is that it reduces the need for production. In reality, it often has the opposite effect.
AI enables brands to create more campaign variations, more personalised content and more localised assets than ever before. Every one of those assets still needs to be reviewed, adapted, approved, versioned and delivered across multiple markets and channels.
As content volume increases, so does the importance of structured marketing execution.
AI may speed up content creation, but it also raises expectations around quality, governance and consistency.
Marketing execution becomes the competitive advantage
At the same time, marketing teams are being asked to do more with virtually no increase in resources.
According to Gartner, marketing budgets have remained effectively flat, rising only from 7.7% to 7.8% of company revenue. Meanwhile, 56% of CMOs say they don’t have the budget required to deliver their 2026 strategy, and 54% report lacking sufficient resources.
This is forcing marketing leaders to rethink how campaigns are delivered.
The organisations seeing the greatest return from AI aren’t simply investing more money. They’re investing in the operational capability that allows AI to scale. Gartner found that organisations with mature AI readiness allocate 21.3% of their marketing budgets to AI, compared with the survey average of 15.3%, because they have the governance, agility and operating discipline to turn that investment into measurable results.
The future belongs to brands that can execute
The Gartner research suggests the future of marketing won’t be defined by who adopts AI first, but by who can operationalise it most effectively.
As AI accelerates content creation, marketing teams will face greater demands for localisation, governance, versioning and multi-channel delivery. Those challenges can’t be solved by technology alone.
The competitive advantage will come from combining AI with strong marketing execution: the processes, people and production capability that turn ideas into consistent, high-quality campaigns at scale.
Ultimately, Gartner’s findings reinforce a simple point. AI may be changing how marketing is created, but execution remains the factor that determines whether that investment delivers real business value.
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