What is custom AI in commercial real estate? Custom AI in commercial real estate is the practice of large property firms building their own AI-native systems for tasks like underwriting, portfolio management, and leasing, instead of buying off-the-shelf proptech software. In June 2026, a Bisnow analysis reported that Blackstone and Brookfield, two of the largest owners and investors in the world, are leaning into custom AI through enterprise deals with Anthropic and OpenAI, a shift that could reshape the entire proptech landscape. For CRE investors weighing their own technology strategy, this trend sits at the center of AI commercial real estate decision-making.
Key Takeaways
- Custom AI in commercial real estate means firms building bespoke, AI-native tools rather than relying on plug-and-play proptech software.
- Anthropic's $1.5 billion AI services joint venture with Blackstone, Goldman Sachs, and Hellman and Friedman, announced May 4 2026, embeds engineers inside portfolio companies to build bespoke AI workflows.
- Analysts warn of a proptech reckoning: if custom AI becomes cheap, demand for some third-party software could fade, echoing the earlier SaaSpocalypse selloff.
- Proptech's best defense is its data moat; trusted data partnerships and systems of record are hard to replicate with generic AI.
- Smaller CRE investors without Blackstone-scale resources will still rely on proptech vendors, but should prioritize tools that own proprietary data and influence revenue outcomes.
Custom AI in Commercial Real Estate, Explained
For two decades, commercial real estate ran on business-to-business software: leasing platforms, asset management tools, and underwriting add-ons sold by proptech vendors. Custom AI threatens to reverse that model. As Fifth Wall founder and CEO Brendan Wallace described it, "We're probably going to reach that point where you're not going to have third-party apps, you're just going to build stuff that works for you." The argument is that AI can rapidly integrate vast troves of data and disparate processes, letting firms recreate the bespoke internal systems that existed before packaged enterprise software, only smarter and faster.
The catalyst is a wave of enterprise AI partnerships. On May 4 2026, Anthropic announced a $1.5 billion AI-native enterprise services joint venture with Blackstone, Goldman Sachs, and Hellman and Friedman, backed by a wider group including Apollo Global Management and General Atlantic, that embeds engineers inside companies to redesign their workflows around AI agents. The initial rollout targets businesses already owned by these investment firms, spanning healthcare, manufacturing, financial services, retail, and real estate. We track Anthropic's broader enterprise push in our report on Anthropic's enterprise AI adoption.
Why Blackstone and Brookfield Are Going Custom
Scale is the reason. When you manage hundreds of billions of dollars in assets, even a small efficiency gain in underwriting or portfolio management is worth more than any per-seat software license. Brookfield is pairing its operational ambitions with a massive infrastructure bet: the Brookfield Artificial Intelligence Infrastructure Fund is seeking to raise $10 billion in equity and acquire as much as $100 billion in AI-related assets, and President Connor Teskey has said the firm hopes to more than double its AI infrastructure investment toward $1 trillion over the next decade. Blackstone, the largest financial investor in data centers globally, has both the capital and the proprietary data to build its own tools.
As Brendan Wallace noted, "the technological and financial and human capital barriers to entry to building your own stuff are collapsing." With Blackstone and Brookfield setting the example, more large REITs are likely to follow, a build versus buy decision that now belongs on every institutional investor's agenda.
The Threat to Proptech: A Second SaaSpocalypse?
For proptech vendors, this echoes the so-called SaaSpocalypse, when fears that custom AI could replace packaged software triggered steep losses for business software firms; we analyzed that episode in the SaaSpocalypse and what AI's software selloff means for CRE. If custom AI becomes cheap and ubiquitous, the need for external software could shrink, forcing proptech companies to lean on their role as the industry's trusted data layer and system of record. According to JLL's 2025 Global Real Estate Technology Survey, 92% of corporate occupiers have initiated AI programs, yet only 5% report achieving most of their AI goals, evidence that buying tools is easy but extracting value is hard. You can review the survey in JLL's AI reality check.
Proptech's Defense: The Data Moat
Not everyone sees doom. Dealpath's leadership argues that longstanding data partnerships will endure: "That's not something you can vibe-code your way through. It's something that you need a trusted partner to gather and provide." Crexi is positioning itself as an operating system for commercial real estate while noting that the long tail of the market, firms without Blackstone-scale resources, will keep needing evolving solutions. CRETI Managing Director Ashkan Zandieh framed the new bar bluntly: "The next generation of unicorns in proptech will be AI-native companies that directly influence underwriting accuracy, rent collection, lease compliance, and construction cost control." In other words, software that merely helps is no longer enough; it has to move NOI. This is the same vendor-strategy shift we explore in our CRE AI vendor playbook.
What Custom AI Means for CRE Investors
The strategic question for most investors is not whether to use AI but how to source it. The AI Consulting Network specializes in exactly this build versus buy decision for commercial real estate firms.
- Decide build versus buy honestly: Only the largest firms can justify building custom AI; most investors should buy, but choose vendors with defensible data and clear ROI.
- Prioritize the data moat: Favor proptech tools that own proprietary data or serve as your system of record, since those are hardest for generic AI to displace.
- Demand revenue impact: Hold every AI tool to a measurable standard, whether it improves underwriting accuracy, occupancy, or expense control.
- Watch vendor risk: If a platform's only value is a thin interface over public data, assume custom AI could undercut it, and plan for switching costs.
- Use AI now, even at small scale: Tools like Claude and ChatGPT let mid-market investors capture much of the upside without a Blackstone budget.
CRE investors looking for hands-on AI implementation support can reach out to Avi Hacker, J.D. at The AI Consulting Network, which helps firms decide where to build, where to buy, and how to turn AI into measurable returns. CBRE's own platforms, profiled in its enterprise AI overview, show how far large players are already taking proprietary tools.
Frequently Asked Questions
Q: What is custom AI in commercial real estate?
A: Custom AI in commercial real estate refers to firms building their own AI-native systems for underwriting, portfolio management, and operations, rather than buying off-the-shelf proptech software. Large owners like Blackstone and Brookfield are leading this shift through enterprise deals with Anthropic and OpenAI.
Q: Will custom AI replace proptech software?
A: Not entirely. The largest firms may build their own tools, but most CRE investors will keep buying proptech, especially platforms with proprietary data and proven revenue impact. The vendors most at risk are those offering thin interfaces over public data.
Q: What is Anthropic's $1.5 billion AI venture?
A: Announced on May 4 2026, it is an AI-native enterprise services joint venture between Anthropic, Blackstone, Goldman Sachs, and Hellman and Friedman, with additional backers including Apollo and General Atlantic. It embeds engineers inside portfolio companies to redesign workflows around Claude-powered AI agents, accelerating custom AI adoption across sectors including real estate.
Q: Should a mid-market CRE investor build custom AI?
A: Usually no. Building custom AI makes sense mainly at institutional scale. Mid-market investors can capture most of the benefit by using tools like Claude and ChatGPT and by selecting proptech vendors with defensible data and clear return on investment.
Q: How can investors evaluate proptech vendors in the custom AI era?
A: Prioritize vendors that own proprietary data, serve as a system of record, and demonstrably influence outcomes like underwriting accuracy, rent collection, or expense control. The AI Consulting Network helps investors run this build versus buy analysis.