Americans embrace AI and social discovery, but trust still determines how they buy, reveals ESW Signals report

Why this matters

This report underscores a nuanced dynamic in the intersection of technology adoption and consumer behavior that institutional commercial real estate investors should monitor closely. The growing comfort with AI for price comparison signals increasing consumer reliance on algorithm-driven decision tools, which could accelerate data-driven retail and service models within CRE tenants’ operations. However, the relatively low trust in AI-powered payments and social commerce highlights persistent friction points in digital transaction adoption, suggesting that consumer-facing real estate sectors—particularly retail and experiential venues—may continue to require hybrid models blending digital convenience with trusted human interaction. For capital allocators, this bifurcation in AI acceptance signals a cautious evolution rather than wholesale disruption in consumer engagement strategies. Retail landlords and operators might need to balance investments in tech-enabled infrastructure with amenities that foster trust and social interaction. Meanwhile, lenders and capital markets participants should consider how tenant business models adapt to these consumer preferences, as they will influence leasing risk profiles and asset valuations. Ultimately, the findings reflect broader structural shifts in consumer behavior that will shape demand patterns and operational strategies across US commercial real estate sectors.

Editorial analysis · AI-assisted

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