Real estate agents signed up to work with people: to build relationships, negotiate deals, and guide clients through one of the biggest financial decisions of their lives. They did not sign up to manage software. Over time, the technology meant to support that work started demanding more agent time than it saved.
The pattern became familiar: a new platform promising efficiency, a training period, a stretch of disciplined use, and then a slow drift back to workarounds and gut instinct. Dave Carter, Vice President of Marketing at Lofty, a Phoenix-based real estate platform provider, puts it plainly: “Salespeople want to be on the phone closing deals, not updating pipeline stages or producing reports. All that system management feels like noise.”
The tools were not ineffective. They required constant tending: prompts to initiate, pipelines to update, tasks to log. For agents whose competitive advantage is human connection, the administrative overhead carries a real cost. The question the real estate technology industry is only now asking is whether these tools were built around the software’s logic rather than the agent’s workflow.
Why Real Estate Tech Adoption Failed
The real estate technology industry spent years treating low adoption as an agent problem. The assumption was that with enough training, the right incentives, and a sufficiently intuitive interface, agents would eventually embrace the tools built for them. It rarely worked out that way.
The more accurate diagnosis is that most real estate software was designed around what it could automate, not around what agents were willing to stop doing themselves. Every workflow that required an agent to initiate a task, log an update, or prompt the system for output created friction. Friction compounded across a workday adds up to abandonment.
“We saw a lot of small tools pop up that did one or two things. But were they useful? Maybe,” Carter says. Carter argues the result was a technology stack that grew more complex without becoming more useful, leaving agents with more tools to manage, more data siloed across platforms, and no meaningful reduction in administrative load.
How Agentic AI Differs
The shift happening now in real estate technology hinges on a different premise. Earlier AI tools automated individual tasks. New systems feature agentic AI, designed to run entire workflows without waiting to be asked. The distinction matters because prompting the system was always what cost agents the most time.
Carter describes the difference in terms of what agents no longer have to do. “With agentic AI, you can realize gains without having to interact with the system constantly,” he says. A listing campaign might once have required an agent to brief a copywriter, schedule social posts, update the MLS, and follow up with inquiries. Each step demanded separate attention. An agentic system handles the sequence from start to finish, flagging only what requires a human decision.
Integration is the other meaningful difference. Standalone AI tools, however capable, operate on a slice of the business. Carter says Lofty AOS is designed to operate across the transaction lifecycle, from lead generation through closing, though independent evaluation of those capabilities is not available in this article. “Agentic AI is only as effective as the data it has access to and the scope it’s given,” Carter says. For brokerages that have lived with fragmented tool stacks, Carter says broader data access is what makes agentic AI effective.
Productivity Gains for Agents
The practical implication is straightforward. Less time managing systems means more time with clients. In a business where relationships determine outcomes, that shift has direct revenue implications.
Carter describes the long-term goal as an agent focused entirely on client relations, showings, and negotiations, with marketing, scheduling, paperwork, and follow-up handled automatically. Whether current platforms fully deliver on that vision remains to be seen.
The platforms that earn adoption will be those that reduce administrative friction without introducing new complexity. That is a higher bar than the industry has historically met. Whether the design logic has fundamentally changed will depend on whether platforms like Lofty AOS deliver measurable reductions in administrative load once deployed at scale.
About the Expert: Dave Carter is Vice President of Marketing at Lofty, a Phoenix-based real estate platform provider he has helped build into a recognized brand in residential real estate. He oversees marketing strategy for Lofty AOS, the company’s newly launched agentic AI operating system.
This article is intended for informational purposes only and does not constitute legal, financial, or investment advice. The views and opinions expressed herein reflect those of the individuals quoted and do not represent an endorsement of any company, product, or service mentioned. Readers should conduct their own due diligence and consult qualified professionals before making any investment decisions.
