What: AI is accelerating the polarisation of retail by strengthening scale-driven giants and data-rich DTC brands while increasing pressure on mid-market players.

Why it is important: The article highlights a structural challenge for mid-market retailers, whose traditional advantages are weakening as AI favors either operational scale or direct customer relationships.

Retail is entering an “age of extremes,” where the largest retailers and direct-to-consumer brands are gaining advantage while mid-market players face mounting pressure. Euromonitor International data shows the top 10 retailers now account for 19% of global retail sales, up from 11% in 2016, while DTC brands are projected to represent 10% of global e-commerce sales by 2030. Large retailers benefit from scale, logistics, technology, and fulfillment efficiency, while DTC brands build loyalty through first-party data, personalisation, and direct customer relationships.This leaves department stores, apparel specialists, and other mid-tier retailers exposed. They often lack the cost advantages of giants and the customer intimacy of DTC brands. AI could deepen this divide by shifting competition from access to visibility. As shoppers increasingly use generative AI for recommendations, comparisons, and review summaries, retailers with strong data ecosystems or distinctive positioning are more likely to surface. Those in the middle will need clearer category authority, stronger customer relationships, and sharper value propositions to remain relevant.

IADS Notes: The article’s argument that AI will intensify pressure on retail’s middle is strongly supported by recent coverage. In April 2026, The Robin Report emphasised that AI visibility is becoming a dedicated retail strategy, with brands needing to appear in AI-generated recommendations rather than relying on traditional search or merchandising. The Financial Times also noted in April 2026 that retailers are moving beyond search engines as customer habits shift toward AI-powered discovery, making structured data and Generative Engine Optimisation increasingly important. Reuters reported in June 2026 that AI-referred shoppers spend more time and money per visit, reinforcing the commercial value of being surfaced by AI tools. BCG’s January 2026 analysis of specialty retail showed that mid-market and specialist players must differentiate through technology, experience, and curation to compete with mass-market and online rivals. Journal du Net’s April 2026 focus on product data further confirms that visibility in AI-mediated commerce depends on accurate, well-governed catalogues, making weak positioning and poor data infrastructure major risks for retailers caught between scale and direct customer relationships.

AI could squeeze retail’s middle even further