Sinch research: 60% of executives are confident their AI programs are succeeding. Only 43% of the teams delivering them agree

Why this matters

The divergence between executive confidence and frontline team skepticism around AI program success underscores a critical tension in institutional commercial real estate’s digital transformation. For allocators and capital markets professionals, this gap signals potential misalignment in how AI-driven initiatives are scoped, executed, and measured within CRE firms and their service providers. While executives may view AI adoption as a strategic lever to enhance underwriting, asset management, and operational efficiency, the more cautious stance of implementation teams suggests persistent challenges in translating AI’s theoretical promise into consistent, scalable outcomes. This disconnect matters because it shapes capital allocation decisions and risk assessments. Overconfidence at the leadership level could lead to premature scaling of AI-dependent strategies, exposing portfolios to execution risk and inflated return expectations. Conversely, the skepticism among delivery teams may reflect underlying issues such as data quality, integration complexity, or talent gaps—factors that could slow the pace of AI-driven productivity gains in CRE. For lenders and LPs, understanding this dynamic is crucial as it influences the viability of tech-enabled business models and the resilience of firms navigating an increasingly data-centric investment landscape.

Editorial analysis · AI-assisted

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