AI is reshaping retail economics - not just by improving online, but by changing what physical space is for. This series explores how AI could shift stores from inventory points to adaptive brand environments, reconfigure networks into more specialized nodes, scale personalization and mass customization, reduce friction in checkout and journeys, and pull stores deeper into fulfillment and reverse logistics.
Anchored to a 10-year horizon, the analysis links evolving AI capabilities (prediction, personalization, computer vision, and workflow automation) to real estate outcomes: what ‘good’ retail space looks like, how back-of-house requirements change, which locations gain advantage, and where legacy formats face market-fit risk. This is not a set of predictions, but a mapping of plausible pathways - showing how changes in speed, cost, and coordination could cascade into store design, portfolio strategy, and asset performance.
