What AI is doing for marketing, and what’s next.
How to adopt Artificial Intelligence in marketing and drive measurable impact
The missing roadmap:
Turning AI experiments
into marketing acceleration
As AI reshapes industries, its impact on marketing is both profound and uneven.
Across sectors, the potential is no longer in question but the path to structured, scalable adoption remains fragmented, cautious, and often misunderstood.
For many organizations, AI still sits at the edge of the marketing stack: confined to isolated experiments, misaligned with core business drivers, and disconnected from strategy.
The real challenge is not access to models, but a lack of clarity on where to apply AI, how much to invest, and what maturity looks like across different marketing dimensions.
This whitepaper maps that gap.
It introduces an AI-driven Marketing Adoption Model for assessing AI ambition in marketing, from opportunistic use to fully AI-driven orchestration and evaluates how each function - from media to value optimization - behaves across different industries.
We examine why AI makes strategic sense in some areas, and not in others, and offer a lens to help leaders move from tactical pilots to scalable transformation.
In a world where speed, precision, and adaptability are no longer optional, AI is the co-pilot marketing needs but only if it’s adopted with intent.
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Why most organisations struggle to scale AI in marketing
A clear framework to assess AI ambition across six marketing dimensions
How to distinguish between opportunistic, strategic, and fully AI-driven use of AI
Where different industries should prioritise adoption
How to turn AI from a technical experiment into a business growth engine
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AI is no longer a competitive edge, it’s becoming a condition for relevance.
But without a strategic lens, most AI investments stall at the pilot stage or stay disconnected from marketing’s core mission. This paper helps senior leaders identify where AI can truly drive differentiation, efficiency, and long-term value and where it shouldn’t be overengineered.
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CMOs and Marketing Leaders looking to align AI with business priorities
Chief Strategy or Innovation Officers mapping the future of operating models
Data and AI Leads responsible for scaling marketing automation and intelligence
Digital and CX Directors rethinking personalisation, performance, and content at scale
Authors
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