--- title: "Can AI Make Homeownership Affordable? — Own 502 — Ownify" description: "A four-layer look at U.S. first-time homebuyer affordability — and three AI levers Ownify uses to lower the all-in cost of buying a home by 16–24%." lang: en json-ld: | [ { "@context": "https://schema.org", "@type": "Organization", "@id": "https://ownify.com/#organization", "name": "Ownify", "alternateName": "Ownify Homeownership", "url": "https://ownify.com/", "logo": "https://ownify.com/favicon.png", "description": "Ownify is a fractional homeownership platform that helps first-time homebuyers buy a real home with as little as 2% down by partnering with long-term capital investors. Active in Colorado, North Carolina, and Tennessee.", "foundingDate": "2022", "areaServed": [ { "@type": "State", "name": "Colorado" }, { "@type": "State", "name": "North Carolina" }, { "@type": "State", "name": "Tennessee" } ], "sameAs": [ "https://www.linkedin.com/company/ownify", "https://x.com/ownifyhome", "https://www.facebook.com/ownifyhome", "https://www.instagram.com/ownifyhome", "https://www.youtube.com/@ownify" ], "contactPoint": { "@type": "ContactPoint", "contactType": "customer support", "url": "https://ownify.com/contact", "areaServed": [ "US-CO", "US-NC", "US-TN" ], "availableLanguage": "English" } }, { "@context": "https://schema.org", "@type": "WebSite", "@id": "https://ownify.com/#website", "url": "https://ownify.com/", "name": "Ownify", "publisher": { "@id": "https://ownify.com/#organization" }, "inLanguage": "en-US" }, { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://ownify.com/" }, { "@type": "ListItem", "position": 2, "name": "Research", "item": "https://ownify.com/research" }, { "@type": "ListItem", "position": 3, "name": "AI Homeownership Affordability", "item": "https://ownify.com/research/ai-homeownership-affordability" } ] }, { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is fractional homeownership?", "acceptedAnswer": { "@type": "Answer", "text": "Fractional homeownership is a co-investment structure in which a homebuyer and one or more capital partners take legal ownership of a single home together. At Ownify, the home is divided into 10,000 ownership shares (\"bricks\"). The buyer contributes 2% upfront, investors contribute the remaining 98% as equity (not debt), and the buyer eventually purchases the remaining bricks at fair market value — usually with a conventional mortgage at the end of the term." } }, { "@type": "Question", "name": "How much can fractional ownership reduce home buying costs?", "acceptedAnswer": { "@type": "Answer", "text": "Ownify estimates the model can lower the initial cost to first-time buyers by reducing purchase price 5–7%, reducing transaction costs 1–2%, and reducing total financing costs 10–15%. Customers to date have averaged about $390/month savings vs. a conventional mortgage and roughly $29,000 in saved upfront cash." } }, { "@type": "Question", "name": "What are the four barriers first-time homebuyers face?", "acceptedAnswer": { "@type": "Answer", "text": "(1) Underlying affordability (high prices, high rates, supply scarcity), (2) transaction-cost and workflow inefficiency, (3) incentive misalignment (commissions reward closing more than negotiating better prices), and (4) financing-model risk (low-down-payment debt concentrates risk on the household)." } }, { "@type": "Question", "name": "Can AI lower real estate transaction costs?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Much of the homebuying workflow is structured information work. Freddie Mac's 2025 Loan Product Advisor enhancement was reported to save originators up to $1,500 per loan, reduce origination costs by 14% for lenders maximizing automation, and shorten loan production cycles by five days. A fully digitized mortgage process can reduce costs by up to 40%." } } ] } ] --- We use essential cookies to make our site work. With your consent, we may also use non-essential cookies to improve user experience and analyze website traffic. By clicking “Accept,” you agree to our website's cookie use as described in our Cookie Policy . You can change your cookie settings at any time by clicking “Preferences .” Accept [![Ownify](/assets/ownify-logo-color-B9tRH5I9.png)](/) [Homebuyers](/homebuyers) [Investors](/investors) [Agents](/agents) [Markets](/markets) [Research](/research/ownify-university) [Blog](/blog) [About](/about) [Sign in](https://app.ownify.com/auth/magic/request?__hstc=53035703.37a7224366db89800667863823ef60b7.1787187637513.1787187637513.1787187637513.1&__hssc=53035703.1.1787187637514&__hsfp=459a5155cbd50c6758f41a978f891916)[Get started](https://app.ownify.com/applications/new?__hstc=53035703.37a7224366db89800667863823ef60b7.1787187637513.1787187637513.1787187637513.1&__hssc=53035703.1.1787187637514&__hsfp=459a5155cbd50c6758f41a978f891916) Own 502 · Research # Can AI make Homeownership Affordable? Three AI levers we're pulling to improve affordability — across transaction costs, pricing & incentives, and capital structure. _The U.S. first-time homebuyer problem is a four-layer affordability failure. Lower rates and down-payment assistance treat the symptoms. Winning models will combine AI, aligned incentives, and capital structure to attack purchase price, transaction costs, and financing risk together._ ## Key takeaways - **Four compounding barriers:** underlying affordability, transaction costs, incentive misalignment, and financing structure. Solutions that target only one will not move the needle. - **U.S. transaction costs are 7–10% of home value** — high by international standards. - **Percentage-based commissions reward closing more than buyer price optimization.** Aligned compensation that pays for negotiated savings changes outcomes more than transparency alone. - **Fractional ownership combines all three actionable levers** — transaction efficiency, incentive design, and capital structure. - **Ownify's model targets a 16–24% reduction in total ownership cost**: 5–7% off purchase price, 1–2% off transaction costs, and 10–15% off total financing costs through equity sharing. ## Summary of the argument The U.S. first-time homebuyer problem is a full-stack affordability failure. High home prices and mortgage rates are the visible symptoms, but the deeper issue is that buyers face four compounding barriers: the underlying affordability problem, an expensive transaction-cost and workflow-efficiency problem, an incentive-alignment and pricing problem, and a financing-model problem. The first barrier defines the market failure. The other three define where successful solutions must operate. At Ownify, we believe that [our fractional ownership model](/fractional-ownership) can lower the initial cost to buyers by (a) reducing purchase price 5–7%, (b) reducing transaction costs 1–2%, and (c) reducing total financing costs 10–15% through equity sharing. AI is the unlock across the stack because it can automate process work, improve valuation and negotiation, support underwriting and risk management, and make complex ownership structures scalable. ## The problem: homeownership has become harder to enter, win, and sustain 21% First-time buyers as a share of all buyers in 2025 — a record low. Repeat buyers made up 79% of the market and had a median age of 62. The median first-time buyer age rose to 40 — ownership is increasingly a mid-career achievement rather than an early-family-formation milestone. NAR's 2025 buyer profile states that the median first-time-buyer down payment reached 10%, matching the highest level recorded since 1989. First-time buyers are struggling against equity-rich repeat buyers and all-cash offers. Freddie Mac estimates the U.S. housing market remained short roughly 3.7 million homes as of Q3 2024. ### The traditional mortgage path solves access for some — but concentrates risk Low-down-payment programs such as [FHA loans](/mortgage), Fannie Mae HomeReady, and Freddie Mac Home Possible can allow 3–3.5% down for eligible borrowers. These programs are essential because they extend access. The limitation is that a low-down-payment mortgage gives the buyer maximum leverage at the moment when the household has the least equity cushion. Ownify's [debt-versus-equity research](/research/our-impact) frames this as a risk-allocation problem. ## Exclusion from ownership compounds into long-term wealth inequality $396,200 vs $10,400 Median net worth — homeowners vs. renters or other non-homeowners (Federal Reserve, 2022 Survey of Consumer Finances). Delayed ownership has a compounding cost. NAR estimates that entering ownership at age 40 rather than age 30 can cost roughly $150,000 of equity on a typical starter home. A durable affordability solution must address the full cost stack: **purchase price, brokerage fees, closing costs, loan production costs, cash to close, mortgage balance, payment volatility, downside risk, and offer competitiveness.** ## The transaction-cost and efficiency problem A home purchase is not a single price. It is a purchase price _plus_ brokerage compensation, title and escrow charges, lender fees, appraisal and inspection fees, recording fees, transfer taxes, legal or notary costs in some jurisdictions, insurance setup, document processing, compliance review, and coordination among parties. LodeStar's 2025 purchase mortgage closing cost report found national average closing costs of $4,661 with a national median of $3,513. The CFPB stated in 2024 that median total loan costs for home mortgages increased by more than 36% from 2021 to 2023. The Mortgage Bankers Association reported total loan production expenses of **$11,230 per loan in Q4 2024**. ### Brokerage costs are high by international standards Global Property Guide lists U.S. round-trip transaction costs of 3.7% to 10.1%, with real estate agent fees of 3% to 6% typically paid by the seller. Economically, the buyer still funds the seller's proceeds through the purchase price. The lesson is that **the U.S. brokerage and coordination model is a market-design choice** — and there is room for U.S. models that lower the price of intermediation without reducing consumer protection. ## AI lever #1 — Compress the process layer of the transaction AI is the most important technology lever for reducing transaction cost because much of the homebuying workflow is structured information work. [Agents](/agents), loan officers, processors, transaction coordinators, title staff, appraisers, insurance agents, compliance teams, and escrow teams all spend time gathering documents, extracting data, comparing records, chasing signatures, tracking deadlines, explaining options, and coordinating handoffs. As a mortgage company CEO told me years ago: _"A mortgage company is checkers checking the checkers checking the checkers."_ Mortgage origination already shows the potential. Freddie Mac's 2025 machine-learning enhancement to Loan Product Advisor was reported to save mortgage originators up to $1,500 per loan, reduce origination costs by 14% for lenders maximizing automation, and shorten loan production cycles by five days; a fully digitized mortgage process can reduce costs by up to 40%. For Ownify, AI is not merely an operating-cost improvement. It is a scaling requirement. Fractional ownership and co-investment structures create more complex onboarding, underwriting, valuation, document generation, payment calculations, investor reporting, maintenance triage, risk monitoring, and eventual buyout or refinance workflows than a plain mortgage. AI can make that complexity manageable. ## The incentive-alignment and pricing problem The current brokerage model often rewards market-clearing speed more than buyer price optimization. A listing agent on a $500,000 sale may spend about 30 hours and net roughly $10,500 after the brokerage split, while a buyer's agent may spend about 80 hours and net a similar amount. Under percentage commissions, an agent who spends incremental time negotiating a $20,000 better price for the client earns little or may reduce effective hourly compensation. The compensation formula **pays more reliably for closing the transaction than for lowering the buyer's total acquisition cost**. Levitt and Syverson found that agent-owned homes sold for 3.7% more and stayed on the market 9.5 days longer than comparable client homes. NAR's 2024 Profile of Home Buyers and Sellers confirms how little negotiation room appears in the median transaction: **sellers sold at a median of 100% of final listing price and sold within a median of three weeks.** (We unpack the principal/agent dilemma in detail in [Own 501 — Thoughts on Real Estate Pricing](/research/pricing).) ### The NAR settlement opens a window — but transparency is not affordability The August 2024 NAR settlement prohibits offers of compensation on MLSs and requires written buyer agreements before touring. Transparency is not the same as affordability. The market becomes cheaper only if buyers, platforms, agents, and lenders use the new rules to _change behavior_ — flat-fee buyer advisory, buyer-agent compensation tied to negotiated savings, AI-supported self-service for lower-complexity tasks, or hybrid models where humans focus on negotiation and risk while software handles search, document, and coordination work. ## AI lever #2 — Turn pricing and negotiation into a repeatable system The largest cost lever is often the purchase price itself. Most transaction participants are not directly positioned or incentivized to negotiate the buyer's purchase price down. 96% vs 99% Average Ownify-negotiated sale-to-list ratio (2022–Q1 2026) versus the 99% market average in the same MSAs — implying ~4% savings off list and an estimated 5% buyer benefit versus a typical mortgage-financed offer. AI can combine listing history, comparable sales, local absorption, days on market, price reductions, seller carrying-cost estimates, inspection-risk signals, appraisal-risk estimates, and offer-certainty variables into a recommended bid strategy. It can also generate seller-facing explanations that show why a lower cash-equivalent offer may produce better expected value than a higher but riskier mortgage-contingent offer. AI is not commission-driven, which removes the irrationality of a buyer's agent pushing for a higher price. In our experience, more than half of Ownify offers were presented and accepted _against_ the advice of our own buyer's agent. **A fractional ownership platform that can make a cash-equivalent offer, quantify seller certainty, compensate agents for negotiated savings, and use AI to underwrite price and risk has a path to lower the purchase price itself.** That is a more powerful proposition than a product that only helps the buyer finance the list price. (See the full case study in [Own 501 — Thoughts on Real Estate Pricing](/research/pricing).) ## The financing-model lever: a comparison framework Alternative financing models are often grouped together as "homeownership innovation," but they solve different problems: lower cash to close, lower the first-mortgage balance, lower monthly payment, improve offer certainty. Model Examples Primary lever Main trade-off Traditional mortgage Conventional, FHA, HomeReady Standardized credit + full ownership High leverage, full downside risk, high transaction costs DPA / shared-appreciation 2nd liens Public DPA, Homium, Crib Equity, Rook Cash to close + first-mortgage size Weaker upfront offer, appreciation sharing, lien complexity [Fractional ownership](/fractional-ownership) Ownify, Acre Homes Upfront cash + balance + offer certainty + risk sharing Buyer gives up some upside; future buyout / refinance [Rent-to-own](/how-rent-to-own-works) Divvy, Landis, Home Partners Time + mortgage readiness No equity at outset; option/fee/repair risks Ground lease Jubilee, Cedar, CLTs Asset price + loan principal Ongoing ground rent; lender education; resale constraints Seller financing Notes, land contracts Underwriting flexibility Compliance + servicing complexity Assumable mortgages Roam, FHA/VA/USDA Interest rate + monthly payment Inventory + servicer approval; equity-gap financing ## AI lever #3 — Make fractional ownership scalable **What is fractional ownership?** A capital structure in which a homebuyer and one or more capital partners take legal ownership of a single home together. The buyer occupies the home, accumulates ownership shares over time, and ultimately exits to full ownership — typically with a conventional mortgage at the end of the term. Unlike a second-lien shared-appreciation product, the buyer's payment is rent on the unowned shares rather than additional debt service. [Ownify's model](/fractional-ownership) divides homes into 10,000 ownership shares called "bricks," which are legally ownership interests in the LLC that holds title. The buyer contributes 2% initially; investors contribute the remaining 98% as co-investment rather than mortgage debt. Over five years the buyer purchases additional bricks to reach ~10% equity, and at the end of the term purchases the remaining bricks at fair market value, usually with a conventional mortgage. ~$390 / $29,000 / 21 days / $17,000 Average monthly savings vs. conventional mortgage / saved upfront cash vs. 10–20% down / cash-offer closing time / equity owned two years into the program. On top of the ~5% purchase-price reduction realized through the cash offer. Ownify can operate across the three actionable levers — transaction cost, pricing & incentives, and capital structure — at once. AI is the connective tissue: it automates underwriting and document intake, provides valuation support, identifies mispriced homes, generates negotiation strategy, supports resident risk scoring, and powers buyout valuation and personalized transition planning. [Run your own scenario](/myplan) or compare directly with a [conventional mortgage](/homebuyers/vs-mortgage). ## Narrower models solve narrower pieces of the stack **Rent-to-own** ([compared to fractional ownership here](/how-rent-to-own-works)) lowers the immediate mortgage-readiness requirement by separating occupancy from final ownership — but customers may not own equity at outset and may face option, fee, deadline, or repair risks. **Ground lease** models lower the asset price by separating land from improvements. **Seller financing** lowers reliance on institutional underwriting. **Assumable mortgages** transfer below-market legacy debt. Each is valuable but narrower than a structure that combines transaction efficiency, incentive design, and capital structure. ## Conclusion: AI, aligned incentives, and capital structure The most successful affordability solutions will not define themselves narrowly as financing products. They will operate as integrated acquisition platforms — they will help buyers identify the right home, underwrite the right price, make a stronger offer, close with less friction, reduce transaction costs, align agent compensation with buyer savings, and finance the asset with less initial cash and less debt stress. **At Ownify, we believe that the confluence of these factors can lower the initial cost to buyers by (a) reducing purchase price 5–7%, (b) reducing transaction costs 1–2%, and (c) reducing total financing costs 10–15%.** AI is the connective tissue. Without AI, a fractional ownership platform risks becoming an operationally heavy, manually underwritten niche product. With AI, it can become a scalable system for identifying mispriced opportunities, structuring clean offers, reducing coordination costs, monitoring risk, and guiding customers toward full ownership. The stronger thesis is that **Ownify can be a lower-cost, better-aligned acquisition and ownership pathway for first-time buyers** — attacking transaction inefficiency, pricing misalignment, and financing constraints together. ## Related reading on Ownify - [Own 501 — Thoughts on Real Estate Pricing](/research/pricing) (the principal/agent deep dive behind the 5–7% pricing lever) - [How Ownify fractional ownership works](/fractional-ownership) - [The Ownify homebuying process — step by step](/homebuyers/how-it-works) - [Affordability & mortgage comparison calculator](/myplan) - [Ownify vs. a conventional mortgage](/homebuyers/vs-mortgage) - [Ownify vs. rent-to-own](/how-rent-to-own-works) - [Our impact: customer outcomes and wealth building](/research/our-impact) - [Ownify University — homebuyer education](/research/ownify-university) - [For agents](/agents) · [For investors](/investors) [← Back to Ownify University](/research/ownify-university)[Read Own 501 — Pricing →](/research/pricing)[Try the Ownify Calculator](/myplan) ![Frank Rohde, Founder & CEO of Ownify](/assets/frank-rohde-DCfv89pU.png) By [Frank Rohde](/about) · Founder & CEO, Ownify **Frank Rohde** is Founder and CEO of [Ownify](/), the leading fractional homeownership platform in the U.S. He also manages the [Ownify Home Funds](/investors), co-investing with qualified first-time homebuyers. Prior to Ownify, Frank was CEO of Nomis Solutions, the mortgage-pricing engine for 30 of the top 100 lenders globally. He's a 3x fintech founder with deep experience in data science, machine learning, real estate, and pricing. Prior to Nomis, Frank was Vice President of Product Management at [FICO](https://www.fico.com/). Frank started his career at [Oliver Wyman](https://www.oliverwyman.com/) after graduating with a BS in Finance and Real Estate from [The Wharton School](https://www.wharton.upenn.edu/) at the University of Pennsylvania. Frank is a licensed REALTOR (**NCREC 340356**) and a licensed Mortgage Loan Originator (**NMLS 2723220**). Watch [Frank's TEDx talk on how we can help young people become homeowners](https://www.youtube.com/watch?v=gDYGQUR99lE). ### Homebuyers - [How it works](/homebuyers/how-it-works) - [Are you eligible?](/homebuyers/eligibility) - [Build my plan](/myplan) - [Ownify vs. mortgage](/homebuyers/vs-mortgage) - [Ownify vs. rent-to-own](/how-rent-to-own-works) - [Detailed calculators](/homebuyers/detailed_calculators) - [Ownify Mortgage](/mortgage) ### Investors - [Why invest](/investors) - [Investor FAQ](/investors/faq) - [North Carolina Home Fund](/investors/north-carolina) - [Colorado Home Fund](/investors/colorado-home-fund) - [Become a partner](/investment-partner) ### Agents - [How it works](/agents/how-it-works) - [Agent benefits](/agents/benefits) - [Get accredited](/agents/accreditation) ### Markets - [Colorado](/markets/colorado) - [North Carolina](/markets/north-carolina) - [Tennessee](/markets/tennessee) - [California](/markets/california) - [All markets](/markets) ### Company - [About us](/about) - [Our impact](/research/our-impact) - [Ownify University](/research/ownify-university) - [Reviews](/reviews) - [Blog](/blog) - [Ownify Tools & Tech](/tech) [![Ownify](/assets/ownify-logo-reversed-CShwpfYm.png)](/) [Terms](/legal/terms)[Privacy](/legal/privacy)[Contact](/contact)[Consent Preferences](#)[Do Not Sell or Share My Personal Information](https://app.termly.io/notify/50967156-fd3e-48cb-95dc-98f33b36600a)[Limit the Use Of My Sensitive Personal Information](https://app.termly.io/notify/50967156-fd3e-48cb-95dc-98f33b36600a) © 2026 Ownify, Inc. All rights reserved. Equal Housing Opportunity. Fractional ownership investments are provided by Ownify, Inc., 548 Market Street #25841, San Francisco, CA 94104. Real Estate Brokerage services may be provided by Ownify Real Estate LLC, NCREC C36616. Mortgage broker and loan processing services are offered through Real-Finity Mortgage, LLC, dba Realfinity. NMLS #2445766 and #2723220. Real-Finity Mortgage, LLC is a licensed mortgage brokerage and maintains its corporate headquarters at 929 Alton Road Suite 500, Miami Beach, FL, 33139. ✕ - Hi, I'm Owen. I can build a personalized homeownership plan for you here: https://ownify.com/myplan