AI in CRE: Co-Pilot or Threat? RealtyAds Challenges Market Fears

CHICAGO, IL – February 20, 2026 – Investor anxiety surrounding artificial intelligence has cast a long shadow over the commercial real estate (CRE) sector, but one company is pushing back, arguing that the industry’s fears are based more on speculative fiction than on-the-ground reality.

In a statement released today, RealtyAds, an AI-focused proptech firm, addressed what it described as a major market selloff fueled by fears of AI disruption. The company pointed to recent volatility where major brokerage stocks like JLL, CBRE, and Newmark reportedly saw significant declines, which RealtyAds attributed to investor concern that AI would make traditional brokerage obsolete. While this was happening, the firm noted its own AI platform was actively powering over 10,000 leasing campaigns, signaling a stark contrast between Wall Street's fears and the practical application of the technology on the leasing floor.

This move by RealtyAds attempts to reframe a volatile debate, shifting the focus from a narrative of replacement to one of augmentation. The company is making a bold case that purpose-built AI is not a future threat to be feared, but a present-day tool that is already making brokers and leasing teams more effective.

The Human-AI Partnership

The central argument against the doomsday narrative is the distinction between general-purpose AI and specialized tools. RealtyAds CEO Trevor Marticke asserts that the most effective AI in the leasing world is designed with a specific purpose: to enhance, not eliminate, human expertise.

"Not all AI is designed to replace people," Marticke stated in the press release. "In leasing, the most effective AI is purpose-built to help professionals perform better, not necessarily remove them from the process."

This vision of AI as a co-pilot resonates with the complex, relationship-driven nature of commercial real estate. Leasing deals are not simple transactions; they are highly localized, nuanced negotiations that rely on human judgment, local market knowledge, and established relationships—qualities that current AI cannot replicate. Instead, platforms like RealtyAds focus on augmenting the professional's workflow. Their AI Agents are designed to sift through vast datasets to help deal teams more accurately identify and target key decision-makers, expand their reach to engage more prospects, and, crucially, connect digital marketing efforts to tangible leasing outcomes like tours and signed deals.

Rather than automating a broker's job away, this technology automates the tedious, time-consuming tasks that often bog them down, freeing them to focus on high-value activities: building relationships, negotiating terms, and closing deals.

Mind the Gap: Corporate Hesitation in the AI Race

While the potential of AI is clear to many on the front lines, a significant disconnect persists within the industry. RealtyAds highlights a growing gap between rapid adoption by individual brokers and the much slower, more cautious approach of large corporations.

Individual agents and small teams are often nimble, eagerly experimenting with new tools that give them a competitive edge. However, scaling these solutions across an entire enterprise presents a far greater challenge. Large CRE firms often grapple with fragmented legacy systems, siloed data, and disconnected performance metrics, making the integration of a unified AI strategy a complex and costly proposition.

"The narrative has moved faster than the corporations," Marticke noted, pointing out that while early adopters are already leveraging AI, their individual efforts are not enough to shift the broader market sentiment that large firms are falling behind. This corporate adoption lag creates a vacuum of uncertainty, fueling investor anxiety and industry-wide concerns about long-term relevance and potential disruption.

RealtyAds positions its platform as a solution to this very problem, designed to unify disparate data sources—from digital ad channels and property websites to internal CRM systems—into a cohesive, actionable intelligence platform. The goal is to provide clarity in a complex ecosystem, turning noise into measurable outcomes.

From Hype to ROI: Measuring AI's Bottom Line

For C-suite executives and asset owners, the conversation about AI quickly moves from innovation to investment. The key question is not whether AI is interesting, but whether it delivers a tangible return. Here, the focus shifts to measurable performance and quantifiable results.

RealtyAds claims its clients see an average savings of $8,000 per month compared to traditional advertising services. This is achieved through real-time budget optimization and more precise prospect targeting, reducing wasted ad spend. Beyond cost savings, the true value lies in driving revenue. Independent analysis of the platform's performance has shown significant results. One A/B test featured in a company case study revealed that buildings using the AI platform saw a 25% increase in property tours and a 31.8% rise in executed leases compared to a control group.

This emphasis on measurable outcomes is critical in an industry wary of expensive, unproven technology. "When AI is tied to outcomes, it becomes empowering," Marticke explained. "When it isn't, it just adds noise." This outcome-based approach helps teams justify technology spend and focus their efforts where they are most likely to generate revenue.

As the CRE industry continues to navigate economic headwinds and technological change, the ability to prove ROI will be the ultimate litmus test for any new proptech solution. The companies that can clearly demonstrate how their tools lead to more tours, more deals, and a healthier bottom line will be the ones that endure beyond the initial hype cycle.

To continue the discussion, RealtyAds announced it will host an educational webinar on March 31, 2026, focused on building and managing leasing performance in an AI-driven environment, promising to share real-world examples and portfolio-level insights.