Nearly half of Americans would consider buying a 3D-printed home if it met their location and budget needs, but concerns affecting the property’s value and marketability could create additional hurdles for lenders and loan originators.
A new LendingTree survey found that 49% of consumers would consider purchasing a 3D-printed home, while 25% said they were unlikely to do so. In a separate question, 36% said they believe 3D-printed homes could make homeownership more affordable within the next decade.
Yet consumer interest does not necessarily mean those homes will be as straightforward to finance as traditionally constructed properties.
Durability was the most commonly cited concern, identified by 40% of respondents, followed by construction quality at 39%, building-code compliance at 31%, and resale value at 29%. Those issues also matter to lenders because the home serves as collateral for the mortgage.
“The novelty of a 3D-printed home may get buyers through the front door, but old-fashioned questions about quality, durability, and resale value can determine whether they stay,” said Matt Schulz, LendingTree’s chief consumer finance analyst.
“A lower price may help, but affordability alone won’t erase those concerns,” Schulz added. “Before this technology can become mainstream, buyers will need confidence that these homes aren’t just cheaper or faster to build, but that they’re safe, solid, and likely to hold their value.”
Price Discounts May Not Overcome Concerns
The survey found that 26% of respondents would require a discount of at least 20% before considering a 3D-printed home. Another 27% would expect a discount ranging from 5% to 19%, while 9% said they would not need any discount.
Thirty percent said they would not consider purchasing one at any price reduction.
For mortgage lenders, the questions extend beyond whether the structure was produced using a printer. Appraisal data, comparable sales, inspections, insurance availability, code compliance, and local familiarity with the construction method could all affect the transaction.
“The challenge is often less about the printer itself and more about proving that the home behaves like a traditional home from a lending and resale standpoint,” Schulz said.
If documentation, inspections, and appraisal information are complete, financing may be relatively straightforward, he said. Missing information or a lack of comparable sales, however, could produce additional questions or delays.
NMP reported in June that Wells Fargo had become a preferred mortgage lender for homes built by 3D-printing company ICON. Qualified buyers financing an ICON-built home through the bank can receive a lender credit of 50 basis points.
The arrangement offered one indication that mainstream lenders are beginning to accommodate the emerging construction technology. The LendingTree findings suggest consumer curiosity is already substantial, although broader adoption may depend on whether the financing, appraisal, and insurance systems become equally comfortable with the properties.
Consumers Welcome AI For Some Housing Tasks
The survey also examined how consumers feel about using artificial intelligence during the homebuying and selling process.
Seventy-two percent said they would use AI for at least one housing-related task. The most popular uses were searching for homes within a budget, cited by 35%; estimating a home’s value, cited by 28%; and finding down-payment assistance programs, cited by 24%.
Among consumers who had already used AI for housing-related purposes, 38% used it to research or compare neighborhoods, 35% used it to search for homes, and 33% used it to estimate property values. Thirty percent had asked AI mortgage questions, while 29% used it to estimate monthly payments and 21% used it to compare lenders.
More than one-third of respondents, 37%, said they would allow AI to manage a home purchase from beginning to end with minimal human involvement. Forty-one percent said they would not.
Human Judgment Still Matters
Despite their willingness to use AI, consumers continue to favor human judgment for consequential decisions.
When asked whom or what they would trust most when determining how much to offer on a home, 25% selected a real estate agent and 23% chose their own research. Consumers’ leading concerns about AI were inaccurate or misleading information, cited by 22%, and data security, cited by 16%.
Others were concerned about unclear responsibility if something went wrong, insufficient human judgment or oversight, and the possibility that AI could overlook important information.
“AI should be a starting point, not the final word,” Schulz said. “A mortgage or real estate professional can help explain trade-offs, local market realities, loan rules, and risks that a chatbot or online tool may miss.”
