AI's Role in CRE Underwriting: Opportunities and Emerging Considerations

By RadCRE Research · 2026-10-06 · Market Updates

Artificial intelligence is increasingly impacting commercial real estate underwriting, particularly in areas like retail, where McDonald's AI pricing introduces new risk factors [4].

AI Integration in Commercial Real Estate Underwriting

The application of Artificial Intelligence (AI) in commercial real estate (CRE) is rapidly evolving, moving beyond conceptual discussions into tangible operational impacts, particularly within underwriting processes. This shift necessitates a critical examination of both the opportunities and the inherent risks that AI introduces to investment analysis and valuation.

JLL's recent research highlights that "Physical AI is moving from the factory floor into commercial real estate" [2]. The report emphasizes that due to CRE's long lifecycles, which see projects take 5 to 10 years from inception to operation, decisions made today will significantly influence a building's readiness for robotics approximately a decade from now [2]. While this specific JLL insight focuses on facilities management and "robot-ready facilities," the broader implication underscores the need for forward-looking analytical frameworks that AI can support, extending to how assets are valued and underwritten based on future operational efficiencies and technological integration.

New Underwriting Considerations: The Retail Sector Example

A tangible example of AI's direct impact on underwriting emerges from the retail sector. McDonald's expanding use of AI to recommend location-specific pricing has introduced a new layer of complexity for investors underwriting McDonald's properties [4]. This AI-driven pricing strategy could either enhance restaurant earnings or trigger consumer dissatisfaction, thereby influencing the business performance that underpins rental payments [4]. For property investors, the central question becomes how these dynamic pricing strategies will affect a restaurant's sales and margins [4]. Higher prices, for instance, might help an operator offset expenses, but their long-term impact on consumer behavior and unit profitability remains a key analytical challenge.

AI in Multifamily and Beyond

The multifamily sector is also actively exploring AI applications, as evidenced by a recent Commercial Observer virtual forum that gathered industry experts to discuss practical implementations [3]. While the specifics of AI in multifamily underwriting from this forum are not detailed in the provided excerpts, the discussion underscores a broader industry push to leverage AI for efficiency and insight across various asset classes.

The 'AI & Innovation Forum' hosted by Commercial Observer further indicates the industry's commitment to understanding and integrating advanced technologies [5]. Events like these facilitate dialogue among leaders such as Ryan Botwinick, CEO & Co-Founder of Fyxt, an AI-powered company, highlighting the active development of AI tools designed to serve the CRE market [5].

The Risk of False Confidence

Despite the promise, there's a significant caution regarding AI's application in real estate. An opinion piece from Newsweek identifies "The Biggest Risk of AI in Real Estate May Be False Confidence" [1]. This highlights a crucial challenge for underwriters: while AI tools can process vast amounts of data and identify patterns, over-reliance without critical human oversight could lead to erroneous assumptions or overlook nuanced market dynamics. The sophistication of AI models must be balanced with a deep understanding of underlying market fundamentals and potential black swan events.

RadCRE Perspective

"The integration of AI into CRE underwriting is an inevitable and powerful trend. As we see with McDonald's AI-driven pricing, these technologies are no longer just about back-office efficiency; they are directly influencing property-level economics and, consequently, investment risk profiles. Our role as analysts is not to blindly accept AI's outputs, but to understand its methodologies, scrutinize its assumptions, and integrate its insights with our deep market knowledge. The 'false confidence' risk is real [1]; true value comes from leveraging AI to augment, not replace, human expertise in assessing complex CRE investments." - Majid Radaei, Founder & Principal Broker, RadCRE

Tags: AI in CRE, Commercial Real Estate Underwriting, Retail AI Pricing, Multifamily Technology, CRE Investment Risk