Clubcard is one of the most sophisticated retail loyalty programmes in the world. 20 million+ active members. Decades of purchase history. The data infrastructure is genuinely world-class. The question — and it's a significant one — is whether the marketing function is using it to its potential, or whether the data sits primarily with the data science team while marketing works with aggregated outputs.

Generative AI adoption in content production is patchy. Some campaign teams are using AI tools for concepting and iteration — Tesco's scale of content output (thousands of executions per year across categories and markets) makes this a high-leverage opportunity. There's no shared toolkit, no prompt standard, no quality bar defined for AI-assisted content across the function.

Tesco's media agency relationships are structured around data-informed optimisation — Clubcard data feeds into programmatic targeting at a level most retailers can't access. This is genuinely advanced. The gap is in-house understanding: the marketing team knows the outcomes but not the mechanism. Dependency on the agency for AI optimisation insight is a governance risk.

Limited. Individual teams are experimenting. Nothing has been standardised or shared. Given the volume of content Tesco produces — seasonal campaigns, category promotions, Finest, own-brand, Clubcard comms — the opportunity cost of not having a standard creative AI workflow is significant.

Highly variable by team and seniority. The data science function is sophisticated. The marketing function is early. There's no structured AI literacy programme for marketers. What's been learned has been learned informally, and hasn't spread systematically.

Tesco's data governance frameworks are among the strongest in UK retail — Clubcard data handling, GDPR compliance, and data sharing agreements are well established. The extension of these frameworks to AI-generated content and AI-driven decisions is less developed but the foundation is strong.