SLMs and LLMs aren’t competing, they solve different problems. For real estate brokerages, MLSs, and proptech leaders, the real decision comes down to cost, speed, privacy, and control. This guide breaks down when a small, nimble model is enough, and when a powerful large model actually earns its keep.
The Linux Foundation’s new Agentic AI Foundation (AAIF) introduces open standards for AI agents. For brokerages, MLSs, and proptech firms, it marks a shift toward interoperable, secure, and governable AI infrastructure. A major step beyond experimental tools.
The lesson is not about better AI. It is about building the conditions that allow AI to matter.
For brokers and MLS CEOs, AI is no longer a novelty. It is infrastructure. And like all infrastructure, it works best when it is shared, intentional, and designed for the people who rely on it every day.
In the digital age, control over listing content depends on copyright law, and most brokers are inadvertently relinquishing valuable rights they could be protecting.
Without modernized data architecture, real estate companies will remain stuck automating tasks instead of transforming outcomes. This will challenge small organizations to remain relevant as large companies with dedicated budgets pull ahead.
If your website features inconsistent photos, uneven bios, and incomplete profiles, that inconsistency becomes your brand.
From a WAV Group M&A perspective, there are three primary ways a real estate brokerage grows. The first is through mergers and acquisitions. The second is by opening new offices organically. The third is a blended strategy that combines both approaches.
Rankings play a supporting role. They’re proof points. They validate the positioning. They aren’t the message.
Their work will build on a strong foundation established under the leadership of Denee Evans, who recently announced her intention to step down as CEO of CMLS.
AI costs are invisible to consumers but critical at scale. Smart routing across models protects margins and ensures sustainable, high-performance AI operations for MLSs and brokerages.
Two days ago, real estate tech strategist Mike DelPrete shared screenshots on LinkedIn showing Google Sponsored Ads that appeared to contain live residential listings. On the surface, this looks like ordinary digital advertising. In reality, it cuts directly into one of the most regulated areas of real estate brokerage: advertising authority and consent. On the same post, HouseCanary indicates that the MLS has approved this (presumably without the broker’s consent).
