Hey there, folks. Happy Friday. This week's issue is about three companies trying to do AI differently — and what their bets tell us about where the industry is actually headed. Opendoor's new CEO Kaz Nejatian sat down for a major podcast interview where he flat-out said most of the work happening inside the company now is being done by AI — and that he considers himself an "AI maximalist" who thinks the technology will increase employment, not destroy it. Revive just dropped a significant upgrade to its agent-facing AI tool, leaning hard into the listing conversation and seller psychology. And in a sharper, more uncomfortable piece, Fundrise CEO Ben Miller called out the industry's biggest blocker on stage at a Bisnow event in New York: companies are so paranoid about protecting their "proprietary" data that they're refusing to adopt cutting-edge AI — and falling behind in the process. Three takes, one theme: the AI race is moving from "should we?" to "how aggressively?" Let's dig in.
1. Opendoor CEO: "Most of the Work Inside Opendoor Now Is Being Done by AI"
On the latest episode of the Playmakers podcast hosted by RealScout co-founder Andrew Flachner, Opendoor CEO Kaz Nejatian — the former Shopify COO who took over last fall — gave one of the most candid interviews of his short tenure. The headline: he's restructured the company so aggressively around AI that "most of the work inside Opendoor now is being done by AI." Nejatian was originally introduced at Opendoor as "the right leader for the AI era," and he's leaning into it. He calls himself an "AI maximalist" — and predicts AI will increase total employment, not destroy it, because "toil is the enemy" and there are plenty of jobs people will be happy to no longer have to do.
The interview also surfaced specific tactical news. On May 19, Opendoor announced a new partnership with RealScout (whose AI Search for Pros we've covered before). The integration brings Opendoor's "Cash Now, More Later" product directly into an agent's existing RealScout workflow — meaning agents can now offer their sellers an Opendoor cash offer alongside a traditional listing path, all from the same dashboard. Nejatian also reflected on what Opendoor was getting wrong before he arrived: first, the company had become so risk-averse that it had to look for profit margins elsewhere; second, it was "warehousing" purchased homes and waiting out a slow housing market with a faulty strategy. The fix, in his view, is treating Opendoor as a software and AI company first, an iBuyer second.
Why It Matters: This is the iBuyer model getting rebuilt in public. The original iBuyer thesis — buy homes with cash, hold inventory, profit on the spread — got destroyed by 2022's rate shock and slow market. The new thesis is software-first: AI pricing models, AI-driven operational efficiency, and integration into agent workflows rather than competing against them. The RealScout partnership is the proof point — Opendoor is no longer trying to replace the agent. It's trying to be a tool the agent uses. For listing agents, this is actually a useful development. If you can offer your sellers both a fast cash option and a traditional listing path from the same workflow, you've added value rather than ceded ground. Worth keeping an eye on how this partnership scales — and on whether other iBuyers follow Opendoor's lead by becoming AI infrastructure for agents instead of competition against them.
2. Revive Drops Major AI Upgrade — Built to Win the Listing Conversation
Revive — the renovation tech company that helps listing agents show sellers the difference between current value and post-renovation value — announced major upgrades to its agent-facing AI platform this week. The new version brings together five capabilities into a single workflow: valuation intelligence pulled from multiple sources, local market insights, room-by-room home condition analysis, homeowner equity and financial modeling, and renovation investment scenarios through Revive's Flip360 program for investor clients.
The pitch from co-founder and COO Dalip Jaggi is sharp: "Agents don't need another estimate of what a home is worth today. They need home value intelligence that helps show clients what it could be worth." The Smart Value Comparison feature aggregates AVMs from multiple sources so agents can show sellers a range rather than a single number. The room-by-room condition analysis uses computer vision to identify which rooms could most benefit from updates before listing. And the Home Financial Overview lets sellers input their mortgage details to visualize current equity, estimated value, and potential upside both with and without renovations. Revive also signed an MLS deal — Rayse and Momentum MLS — to deepen data integration. The upgrade is positioned as an "agent-first" tool, with data and insights surfaced to the agent rather than directly to consumers.
Why It Matters: This release tackles one of the most leverageable conversations in real estate: the seller listing appointment. Most sellers come to the conversation with one number in their head — what their home is worth right now. The agents who win listings are the ones who can credibly expand that conversation: what could it be worth with $20K of strategic updates? What if we put new floors in two rooms? What's the realistic ROI? Revive's tool makes that conversation more data-driven and harder to dispute. Pair it with everything we covered Tuesday about agents using AI intentionally with specific prompts, and you're starting to see the playbook: AI doesn't replace the listing appointment, it makes the listing agent the expert in the room. For listing agents in markets where inventory is tight and homes need updates to compete, this is a tool worth a serious look — even if you don't end up using Revive's renovation services.
3. Fundrise CEO: "Proprietary Data" Obsession Is Holding Real Estate Back From AI
Bisnow held its New York AI & Technology event last week, and Fundrise co-founder and CEO Ben Miller delivered the most uncomfortable take of the day: the real estate industry's obsession with hoarding "proprietary data" is the single biggest thing keeping it from adopting cutting-edge AI. Speaking onstage at Silverstein Properties' 7 World Trade Center, Miller said real estate companies "feel like they have all this special data. They don't want Claude or OpenAI to have access to the data. So they're afraid to adopt the cutting-edge."
His point, paraphrased: large language models already have access to thousands of brokerage reports and online listings. The data your firm thinks is uniquely yours? Most of it isn't. The competitive moat real estate firms believe they're protecting often doesn't exist in the way they think it does — and the cost of that paranoia is enormous. While firms are debating whether to let AI tools see their data, competitors who let go of those fears are running circles around them on speed, analysis, and decision-making. Miller has put his money where his mouth is — Fundrise launched RealAI earlier this year, an AI-powered CRE analysis tool that he says does the work of a real estate analyst for $69 a month, trained on 3.5 trillion data points across every property in America. The contrast is the point. He thinks the firms that adopt aggressively will win. The ones that don't will, in his words, "probably get destroyed."
Why It Matters: This is a CRE-flavored story but the lesson applies everywhere in real estate. Yes, there are legitimate data security questions when using AI tools — especially around client PII, transaction data, and proprietary financials. Those are real and need to be handled responsibly. But there's a difference between thoughtful data governance and the "we can't let ChatGPT see anything" panic that's keeping a lot of teams stuck. The question to ask isn't "what data should I protect?" — it's "what data could I let AI use that would meaningfully change how I do my job?" For most agents, that's market analysis, neighborhood research, comp interpretation, listing strategy, transaction coordination, follow-up sequencing. None of that requires exposing a client's social security number. Miller's broader point is the right one: the firms that figure out how to use AI aggressively without compromising the things that genuinely need protection are the ones who'll define the next cycle. Everyone else is just falling further behind while patting themselves on the back for being "careful."
That's the wrap for this week, folks. Opendoor is rebuilding itself as an AI company that helps agents instead of competing with them. Revive is sharpening the listing appointment conversation with smarter seller intelligence. And Fundrise's Ben Miller is calling out an uncomfortable truth — that "protecting our data" has become a polite excuse for not adopting AI fast enough. The common thread: the next 12 months are going to separate the firms that lean in from the ones that hide behind caution. Have a great weekend, and I'll see y'all Tuesday.