AI Use Is Up. AI Trust Is Down. Half Of America Uses A Technology It Doesn't Trust

Why this matters

The widening gap between AI usage and trust, as highlighted by recent research, carries nuanced implications for institutional commercial real estate. While the headline centers on consumer technology sentiment, the underlying dynamic—high adoption amid persistent skepticism—mirrors broader trends in CRE’s embrace of AI-driven tools for underwriting, asset management, and tenant engagement. For allocators and capital markets professionals, this signals a cautious but growing reliance on AI to enhance operational efficiency and data analytics, even as concerns about transparency, bias, and reliability remain unresolved. In practical terms, lenders and investors should interpret rising AI integration as a double-edged sword: it promises improved decision-making speed and scale but also introduces new layers of model risk and governance challenges. The persistence of distrust suggests that institutional capital will likely demand greater validation and oversight before fully embedding AI into underwriting or portfolio management frameworks. This dynamic may slow the pace of AI-driven innovation in CRE, reinforcing a bifurcation between early adopters willing to tolerate uncertainty and more conservative players prioritizing proven methodologies. Ultimately, the headline underscores a transitional phase in CRE technology adoption—one where AI’s potential is acknowledged but tempered by institutional caution, shaping capital flows and risk appetites in the sector.

Editorial analysis · AI-assisted

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