—The Readiness Gap Why 85 Percent of Marketing Organizations Don’t Actually Have an AI Strategy
Author: IMB Editorial Team
IMB Journal – International Marketing Board
Volume 1 | Issue 8
August 2026
Why 85 Percent of Marketing Organizations Don’t Actually Have an AI Strategy
Ask almost any marketing leader today whether their organization has an AI strategy, and most will say yes without hesitating. Ask them who owns it, what the roadmap looks like, and how success gets measured, and the confidence tends to drop off quickly. That gap between the appearance of strategy and the substance of it is now large enough that an entire industry report was built around measuring it.
Supermetrics published its AI Readiness Gap report on July 14, surveying 435 marketing leaders across the United States, United Kingdom, Germany, Australia, and Singapore. The findings were blunt: 85 percent of organizations have no formal AI strategy or clear ownership of AI initiatives, and only 15 percent could point to a defined roadmap with measurable success metrics. Just 11 percent described their marketing data as high quality and genuinely accessible, the foundation that any AI initiative ultimately depends on.
Pressure Is Not the Same as Readiness
None of this reflects a lack of urgency. Roughly 80 percent of the marketing leaders surveyed said they feel moderate to significant pressure to adopt AI within the next twelve months, and separate research has traced most of that pressure directly to the C-suite and the board. Leadership wants AI results, and it wants them now.
The trouble is that pressure from above doesn’t create the infrastructure needed to act on it. More than half the organizations surveyed said their data strategy is defined by a team outside marketing entirely, and a further slice hands that responsibility to outside consultants. When marketing doesn’t control the data its AI tools depend on, every downstream initiative inherits that same lack of ownership, regardless of how sophisticated the tools themselves are.
Governance Has Outpaced Planning
A separate survey by the Association of National Advertisers found a related but distinct pattern. Roughly three-quarters of marketers now have formal AI policies in place, and just over half have formed cross-functional AI steering committees, both figures up sharply from a year earlier. On paper, that looks like organizational maturity catching up with the technology.
Look closer and the picture is thinner than it appears. Nearly half of the same organizations reported having no formal AI planning horizon at all. In other words, many companies have built governance structures, policies, committees, sign-off processes, without ever having done the underlying planning work those structures are meant to govern. It’s the marketing equivalent of writing a detailed set of traffic laws for a road that hasn’t been built yet.
Why This Keeps Happening
The pattern repeats across nearly every account of AI adoption struggling inside marketing organizations this year, and it rarely comes down to the technology itself underperforming. It comes down to a small number of structural gaps: no one is clearly accountable for a given AI use case, the data feeding the system was never properly consolidated, and the initiative was launched to satisfy pressure from above rather than to solve a specific, well-defined problem.
Each gap is boring to fix and expensive to ignore. Assigning clear ownership doesn’t require new technology. Consolidating a data foundation takes months of unglamorous work rather than a single vendor contract. Neither shows up in a keynote demo, which may be exactly why so many organizations skip past them and go straight to deploying the tools instead.
What This Means in Practice
An AI strategy isn’t a tool selected, a policy signed, or a committee formed. It’s a specific answer to three questions applied consistently across every initiative: who owns this, what data does it depend on, and how will we know if it worked. Organizations that can answer all three before adoption tend to be the ones the surveys quietly describe as the minority. Everyone else is layering AI onto a foundation that was never built to support it, and discovering the gap at whatever moment the tools are asked to do something that actually matters.
Part of a three-part series on the AI readiness gap in marketing. Next: a case study on how a single unreviewed line of copy turned Nike’s AI ambitions into a public conversation about brand voice.