Artificial intelligence is expected to significantly reshape the global real estate industry, a sector often valued in the hundreds of trillions of dollars when including residential, commercial, and land markets worldwide. While real estate has historically lagged other industries in adopting new technologies, advances in AI are accelerating automation, compressing timelines, and changing how value is created across brokerage, development, property management, and investment.
Technology is not only improving existing processes but also changing how real estate data is generated, analyzed, and monetized. Tasks traditionally performed by brokers, analysts, and administrative staff are increasingly handled or augmented by machine learning systems capable of processing large datasets in real time. Functions such as property valuation, deal sourcing, tenant screening, and market analysis are being streamlined, with some processes becoming increasingly automated.
The shift is expected to produce both opportunities and disruption across the industry. Early adopters of AI may gain efficiency and competitive advantages, while those slower to adapt could face challenges. Some analysts suggest that roles in brokerage, leasing, and asset management may be consolidated or reduced over time as automation increases. The pace of change is widely expected to accelerate rather than unfold gradually.
In response to these trends, МЕЖДУНАРОДНЫЕ ПРЕДПРИЯТИЯ ПО НЕДВИЖИМОСТИ (WPV), a Miami-based real estate technology holding company, is positioning its business model around AI-driven transformation. The company operates as a technology venture studio–funding, building, scaling, owning, and operating (while selectively acquiring) platforms focused on solving foundational problems and market inefficiencies within the global real estate ecosystem. These platforms include AI real estate search and matching engines, digital marketplaces, token exchanges, prediction markets, mortgage engines, industry stablecoins, digital twins, and streaming platforms — all leveraging AI, data, scale, automation, blockchain, and tokenization to digitize the $600 trillion global real estate value chain.
Company founder and CEO Майкл Геррити said the broader shift in the industry is already underway.
“The question is no longer whether real estate professionals should embrace AI–that moment is over. AI is already reshaping the industry. The only question now is whether you position yourself to financially own a piece of this disruption–or get left behind,” he said.
WPV is positioning its platform as a way for industry participants to engage with these changes on an ownership level. By combining company-building, selective acquisitions, and technology development, the company aims to create an ecosystem that allows accredited real estate professionals and investors to participate in–and have ownership of–the broader shift toward AI-driven infrastructure. Gerrity describes the vision as building a global portfolio of high-growth AI companies akin to a “future Berkshire Hathaway of real estate tech holdings.”
WPV’s model emphasizes active development and ownership of its portfolio companies, rather than acting solely as a capital allocator. The company maintains full ownership and operational control of its businesses, which it says allows for tighter integration and faster execution across its platform.
The company also aligns its structure with accredited investors, in line with regulatory requirements for private market investments. Investors in WPV gain equity exposure to the parent company rather than participating in a traditional venture fund structure.
WPV has developed a new approach to its capital structure called “Financial Foiling” — designed to combine asymmetric upside potential with downside risk mitigation. The model aims to blend venture-style return characteristics with elements typically associated with more stable, income-generating assets. This structure, according to Gerrity, is intended to give WPV a competitive advantage over traditional venture capital firms, many of which do not achieve positive returns over a typical 10-year fund horizon, as many of their startups run out of cash — WPV’s structure is designed to maintain continuous liquidity supported by T-bill income.
The extent to which this model succeeds will depend on execution, market adoption, and broader industry dynamics. However, the trajectory of AI adoption across sectors suggests that technology will play an increasingly central role in real estate over time, potentially reshaping how transactions are conducted, assets are managed, and how shareholder value is created.
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