The news: Despite mounting boardroom pressure, most marketing organizations remain stuck in AI experimentation. 

• Only 6% of marketers surveyed in the US, the UK, Germany, Australia, and Singapore have fully implemented AI in their workflows, per Supermetrics’ 2026 Marketing Data Report.
• Meanwhile, 80% feel the urgency to adopt it—with 89% of adoption pressure coming from the C-suite and board.

Digging into the data: Supermetrics determined that the bottleneck to AI adoption isn’t motivation—it’s organizational support and data access. 

• 52% of marketers lack control over their own data strategy as external teams define frameworks.
• 37% say there’s a lack of system integration with analytics and BI tools, indicating data strategy is lacking.
• Only 7% receive real-time responses from data team support, while 50% wait between one and three days.

Tighter coordination between marketers, their leaders, and data teams could close gaps in AI adoption and bring organizations closer to their ROI targets.

“When marketing teams have clean, structured, and up-to-date data at their fingertips, they can move beyond testing and start making AI-powered decisions with real business impact,” said Anssi Rusi, CEO of Supermetrics.

Implications for brands: Without reliable, well-governed data as a single source of truth, agentic AI risks acting on flawed inputs, undermining both performance and trust.

• Invest in clean, connected, and governed data infrastructure before scaling AI tools. 
• Consolidate data ownership within marketing, establish real-time access protocols, and tie every AI use case to a measurable business outcome.

Organizations that close the data gap will convert AI pressure into performance.

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