In this episode of The Peter Zalewski Show™ podcast, we interview Boston Technologist John Moura of BuildReach.com about how AI will change the South Florida real estate industry.

The weekly podcast The Peter Zalewski Show features interviews with South Florida business leaders focused on real estate, finance and the economy.

The program - hosted by Peter Zalewski of the Miami Condo Investing Club™ - is broadcast live every Wednesday at 4 pm (Miami time) at MiamiCondo.Club and on social media sites.

The objective of the show is to deliver straight talk, share institutional knowledge and provide data-driven analysis on the macro and micro economic forces shaping the tricounty South Florida region of Miami-Dade, Broward and Palm Beach.

Episode Overview

In the Nov. 26, 2025, episode of The Peter Zalewski Show™ podcast, host Peter Zalewski interviews Boston Technologist John Moura of BuildReach.com about the changes coming to the South Florida condo market as a result of AI.

This discussion revealed that the relentless advance of artificial intelligence could soon sideline many South Florida real estate brokers and obliterate the high-spending preconstruction condominium sales model.

The technology veteran—who has worked for firms including the ride-sharing service Lyft—detailed how AI is rapidly creating new tools that hasten property sales and threaten to replace the human element, much as digital platforms once displaced travel agents and the taxi sector.

Zalewski noted that developers frequently burn up to a $1 million on elaborate launch parties—and similar sums on temporary sales centers—to sell the “dream” of preconstruction condos, a practice Moura swiftly labeled a “reckless spend.”

The technologist suggested that developers will inevitably abandon these parties and sales centers in favor of using AI to directly profile and target high-likelihood buyers with surgical precision, shifting millions toward data-mining operations.

Moura confirmed that the in-house salespeople, who are paid to sell a concept or vision, could be the first layer of the industry to be replaced by these data-driven methods.

This acceleration of data access and analysis will push preconstruction pricing toward standardization, eliminating, what Zalewski said, was the arbitrage opportunities that once existed in Miami and turning the process into something akin to the standardized pricing for a Cuban sandwich after the arrival of food delivery services such as Uber Eats.

While Moura granted that seasoned local brokers may hold a temporary advantage over a pure computer system—as AI cannot yet drive the confidence needed for a major purchase—he cautioned that this reprieve may be short-lived.

He estimated that AI will be “really, really, really rocking” by 2027 or 2028, rapidly enabling consumers to use AI agents to search the Multiple Listing Service (MLS) for previously unindexed details like terracotta tile or Vintage condo building characteristics, rendering human filters less necessary.

The window for brokers to adapt to this accelerating, AI-powered sales environment is closing quickly, with Moura’s core advice being simple: do not wait to embrace the technology, as any idea not acted upon will be rapidly developed by another competitor.