AI's Evolving Role in CRE Underwriting: Speed, Not Substitution

By Majid Radaei, RadCRE · 2026-10-01 · Market Updates

Artificial intelligence is accelerating early-stage real estate processes, from project decisions for retail developers to lead generation for land investors, but still requires human expertise and local knowledge [3, 4].

The Ascendance of AI in Commercial Real Estate Operations

Artificial intelligence (AI) is rapidly integrating into various facets of commercial real estate (CRE), transitioning from theoretical discussions to practical applications that enhance efficiency and decision-making. Recent developments highlight AI's growing influence, particularly in streamlining early-stage processes, although experts caution against over-reliance on automated insights without human oversight [1, 4].

AI's Impact on Project Decisions and Deal Sourcing

Retail developers are increasingly leveraging AI to connect and accelerate traditionally disparate tasks, such as reviewing public solicitations, testing development options, pressure-testing financial assumptions, visualizing concepts, and preparing leasing materials. Mateo Romano, co-founder of Adaptig.ai, demonstrated at ICSC@Western how readily available AI tools can expedite this comprehensive process [3]. This integration allows developers to move through project decisions at an unprecedented pace, optimizing the initial phases of retail real estate ventures [3].

Similarly, land investors are utilizing AI to significantly speed up the identification, screening, and evaluation of potential land parcels. This technology is proving invaluable in generating faster leads for undeveloped or underused properties destined for future development or resale. However, a central message from a recent Blueprint conference panel in Las Vegas emphasized that while AI accelerates initial analysis, it does not replace the critical need for local knowledge, transaction history, and firsthand site visits to validate a deal's viability [4].

The Broader Spectrum of AI in CRE

Beyond underwriting, AI's footprint is expanding across the CRE landscape. JLL highlights that "physical AI" is moving from factory floors into commercial real estate, with facilities management emerging as a primary proving ground for this transformation. Given the long lifecycles of CRE projects—often 5 to 10 years from inception to operation—decisions made today will dictate a building's readiness for robotics and advanced automation roughly a decade in the future [2]. This forward-looking perspective underscores the industry's need to proactively plan for AI integration, ensuring assets are 'robotics-ready' [2].

The Pitfalls of Over-Reliance and 'False Confidence'

Despite the undeniable benefits, a significant risk associated with AI in real estate is the potential for "false confidence" [1]. The speed and apparent comprehensiveness of AI-generated reports can mislead users into mistaking initial, fast-generated information for a complete and fully underwritten process [4]. This sentiment was echoed at a recent Commercial Observer virtual confab focusing on multifamily real estate, where experts discussed the importance of defining what works best in AI applications, suggesting that the technology is ultimately "what you make it" [5]. The consensus remains that AI should serve as an enhancement to human expertise, not a full substitute, particularly when it comes to the nuanced aspects of real estate investment and risk assessment [4].

RadCRE Perspective

"AI is a powerful accelerator, but not a replacement for seasoned judgment in commercial real estate. Our focus at RadCRE, and with RadCRE.ai, is to leverage AI for rapid data synthesis and preliminary analysis. It allows our clients to filter through vast amounts of information quickly and identify opportunities that warrant deeper human diligence. The technology empowers us to make better, faster initial decisions, but the final, critical layers of underwriting—especially for hotel investment sales, distressed assets, and complex value-add acquisitions—will always demand the expert insight, local market intelligence, and hands-on validation that only experienced professionals can provide. AI tells us where to look; we still tell you what it's worth."

Tags: AI in CRE, Real Estate Underwriting, Retail Development AI, Land Investment AI, Commercial Real Estate Technology