AI is set to reshape how UK retailers allocate and execute marketing and ecommerce budgets, with a new report forecasting that nearly two-fifths of spend will be affected by automation and augmentation by the end of the decade. Research from Retail Economics, produced with retail technology firm Voyado, estimates that 39%—equivalent to £3.7 billion—of UK retail marketing and ecommerce expenditure could be disrupted by AI by 2030, as the technology moves from early experimentation into operational infrastructure.
The report suggests retailers expect tangible operational benefits to arrive quickly. Many anticipate “meaningful” impact within the next 12 to 18 months, while clearer and more scalable returns on investment are expected in roughly two years. That timeline, Retail Economics argues, creates a narrowing window: delaying capability building risks leaving retailers exposed as AI shifts from optional pilots to a baseline requirement for competing.
Today, the report estimates around 32% of marketing and ecommerce tasks are already exposed to being supported, enhanced or partly automated by AI. The impact spans core activities including personalisation, analytics, campaign execution and product discovery—areas where AI can compress time-to-decision and increase the precision of targeting. Data and analytics functions are among the most immediately exposed, the report notes, because AI systems excel at pattern recognition, forecasting and optimisation. Customer personalisation and experience execution are also highly exposed, reflecting retailers’ push for more relevant, real-time engagement across channels.
Brand and creative functions appear less automatable in direct terms, but still represent a meaningful share of exposed budgets because creative and brand-building remain large line items in marketing spend. In other words, even modest automation or augmentation in these areas could move substantial amounts of AI retail marketing spend.
The research covers four European regions—Benelux, DACH, the Nordics and the UK—and paints a market in transition. Almost all retailers (95%) have tested AI tools in marketing, with many beginning in 2023 through early generative AI and large language model experimentation. But the report finds a split between those still exploring what AI can do and those embedding it into daily operations.
Around one in four retailers remain in exploration or pilot-scaling phases, often constrained by data quality, limited in-house skills or uncertainty over governance. By contrast, 45.3% are described as “operational,” meaning AI is integrated across multiple workflows and is influencing day-to-day execution. Another quarter say AI is embedded at a strategic level, shaping planning, prioritisation and decision-making across functions rather than being limited to isolated use cases.
Despite growing adoption, commercial proof remains uneven. Only 5% of retailers say AI is currently delivering clear, scalable ROI—highlighting a gap between activity and outcomes. Still, most expect that to change quickly as tooling improves and organisations mature their data and operating models.
Skills and governance are cited as major barriers in the UK. The report notes that cultural hesitation and governance concerns constrain three quarters of UK retailers, while two thirds point to a lack of internal expertise as a core obstacle to deploying AI effectively. Data compliance concerns also slow progress, particularly as retailers balance personalisation ambitions with privacy and regulatory expectations.
Voyado’s chief product officer Felix Kruth argued that the next phase of value will come from autonomous systems operating behind the scenes. “What’s most exciting is that we’re still very early in the journey, and the AI we’re using today is likely the least impressive version we’ll ever see. This is still young technology. Generative AI has already delivered significant efficiency gains, but it’s agentic AI, built on the right data foundations, that will prove real commercial value.
“In the race to demonstrate AI progress, it is easy to focus on what is visible: new interfaces, chatbots, and features. But without the right data foundation and context, the impact simply does not materialise. The real value in retail is created by AI working in the background – prioritising the right customers, optimising decisions and ensuring the right thing happens at the right moment.”
Retail Economics CEO Richard Lim described the next two years as decisive. “The next two years represent an inflexion point as AI shifts from experimentation to competitive necessity. Retailers are on a journey, and while most have begun testing and deploying AI, few have reached a stage where it is delivering consistent commercial returns.
“As AI transforms retail tasks, it is reshaping how marketing and ecommerce spend is executed. The retailers that succeed will be those building the right data foundations, skills and operating models now, as AI becomes a core requirement for competing effectively in retail.”
As AI adoption accelerates, the report’s central argument is that AI retail marketing spend will increasingly be determined by data readiness and organisational capability, not just tool availability—separating retailers that industrialise AI from those that remain stuck in pilots.
 of UK retail marketing and ecommerce spend by 2030, with ROI expected within two years.){kind=link}