Flat Housing Market, Rising Revenue
Zillow Group’s latest quarter underscores how real estate AI transformation can offset a housing market slowdown. The company reported revenue rising 18% to USD 708 million (approx. RM3.28 billion) in a market it described as essentially flat, signaling that software revenue growth no longer depends solely on transaction volume. Net income climbed to USD 46 million (approx. RM213.6 million), up from USD 8 million (approx. RM37.1 million), even as Zillow plans for housing activity to remain at the bottom of the cycle. The strategy: lean on AI productivity gains and new digital services rather than wait for sales cycles to recover. By embedding AI into search, rentals, and agent tools, Zillow is turning its platform into an infrastructure layer for the real estate industry, positioning itself to capture more value from every interaction—whether or not buyers and sellers are closing deals at historic rates.
AI Productivity Gains Inside the Software Factory
Zillow’s internal shift shows how AI can become a force multiplier for software development when growth is constrained. The company says its engineers are now shipping 40% more code per person, on average, thanks to internal AI tools. That acceleration allows Zillow to move features from concept to launch faster, tightening feedback loops with consumers and partners. In practical terms, AI-powered coding support lets smaller teams experiment with new workflows, iterate on product ideas, and improve reliability without proportional headcount growth. This boost in output is crucial during a housing market slowdown: instead of relying on macro recovery, Zillow is generating software revenue growth by rapidly testing AI-driven features and expanding its product surface area. The result is a tech organization built to deliver more value per engineer, giving the company optionality to pursue multiple AI initiatives simultaneously while keeping costs in check.
New Consumer Experiences: AI Search and Rental Automation
On the consumer side, Zillow is turning AI into a differentiator across the real estate journey. It has begun rolling out an AI-powered search mode to around 5% of its audience, reaching millions of users. Early signals point to deeper conversations and more actionable engagement versus traditional search, suggesting AI can better capture nuanced intent in home discovery. In rentals, AI Assist acts as a virtual leasing assistant embedded in multifamily listings, managing lead intake, applicant screening, and lease coordination. This automation directly tackles workflow pain points for property managers, supporting higher rentals revenue, which jumped 42% to USD 183 million (approx. RM848.4 million), driven by 57% growth in multifamily revenue. Together, these tools demonstrate how AI-powered consumer experiences can both strengthen competitive positioning and unlock new, operationally efficient revenue streams beyond standard listing exposure.
Turning CRM and Data Moats into AI Revenue Engines
Zillow is also using AI to deepen its role in professional real estate workflows. Follow Up Boss, its CRM for real estate teams, is being transformed into an AI-powered workflow engine that handles coordination, lead prioritization, and outreach. Since Zillow acquired the product, monthly active users have risen more than 70%, highlighting demand for AI productivity gains among agents. Meanwhile, Zillow Home Loans nearly doubled purchase loan origination volume, up 96% to USD 1.5 billion (approx. RM6.96 billion), making it a top-25 purchase lender. The company argues that proprietary listing data, heavy consumer engagement, and integrated transaction tools give it an advantage even against general-purpose AI platforms. Partnerships, such as feeding listings and pricing into ChatGPT and extending Zillow Preview pre-market listings to Realtor.com, show how its data moat can be monetized through AI-enhanced services that stretch well beyond traditional commissions.
Lessons for Software Firms Navigating Market Downturns
Zillow’s approach offers a template for software-led businesses facing cyclical slowdowns. Rather than waiting for a rebound, the company is using AI to reshape its economics: boosting internal efficiency, building workflow automation, and generating new revenue lines in lending and rentals. It has also been willing to cut roles—about 200 positions in the past 18 months—while insisting the reductions are performance-related rather than direct AI replacement, signaling a focus on sharpening execution. At the same time, Zillow is managing legal and competitive risks, from FTC scrutiny over rental syndication to disputes with rivals and ongoing copyright cases, even as it repurchases 13.5 million shares for USD 626 million (approx. RM2.9 billion). The overarching lesson: in a stalled market, AI transformation is not a side project but a core growth strategy, enabling companies to sustain momentum despite macro headwinds.