AI maturity is becoming a financial variable

Through economic modelling, we have identified where AI is likely to augment, automate, or materially influence workflows.

We also distinguish between degrees of AI integration – the ‘human in the loop’ factor – identifying moderate AI augmentation versus advanced augmentation (where AI reshapes workflows and decision-making).

By 2030, 39% of retail marketing and e-commerce spend across Europe is projected to be exposed to AI. This equates to approximately €15 billion annually across the markets analyzed.

AI is changing how this spend is used – not removing it. How budgets are deployed, optimized, and managed will fundamentally shift, with a growing share of marketing and e-commerce activity relying on AI-enabled execution to remain competitive.

And as exposure increases, so does the penalty for fragmented data, unclear governance, and slow integration.

The significance of this exposure isn’t the distribution of spend across regions, but the growing role AI will play in how that spend performs. As AI influences a larger share of marketing and e-commerce budgets, the maturity gap becomes financial. Retailers that integrate AI effectively will see stronger performance from the same spend, while those that don’t will struggle to convert that investment into measurable return.

AI exposure varies across marketing and e-commerce functions. Data-heavy, optimization-driven areas such as analytics, CRM, and on-site discovery are the most AI-ready, where AI is likely to become a core operating layer influencing decisions and performance.

In more experience-led functions (e.g. brand, creative, and in-store marketing) human input remains central, though there are still clear opportunities for AI to augment specific tasks.

The implication isn’t that some functions will avoid AI, but that how AI is used will differ. In some areas, it will directly reshape workflows, while in others, it will support human decision-making.

The financial stakes extend beyond technology investment. AI is reshaping how marketing and e-commerce budgets are structured, governed, and measured.

Retailers that fail to integrate AI effectively risk allocating growing budgets into systems that cannot convert investment into performance. Those that do can turn that exposure into measurable return.

In this environment, AI maturity becomes a driver of financial performance.