Real estate technology is the set of tools and methods changing how property is built, financed and sold, from mass timber and modular construction to AI underwriting, tokenized ownership and the data centers now absorbing the sector's capital.
TBO's real estate technology coverage tracks the technologies that change how a property is built, financed and sold. That means AI programs inside occupier and investor portfolios, tokenized funds and loans, data centers bidding for grid capacity, and the construction methods that decide what a building costs and when it opens: mass timber, modular fabrication, retrofit. Every piece is anchored in dated, named research (JLL, Deloitte, McKinsey, the National Association of Realtors, Nationwide, AirDNA) rather than in vendor claims.
What this page collects is the gap between the announcement and the outcome. JLL found that 92% of corporate occupiers and 88% of investors started AI programs, and only 5% report achieving most of their program goals. In the UK, Nationwide found buyers pay about 1.6% more for an efficient home, while the government's own estimate puts the Future Homes Standard at 4,350 pounds per home. For anyone bringing a development to market, that gap is the commercial question: which of these technologies a buyer or a lender will actually pay for, and how to make that value legible before someone else prices it.
Updated Sep 13, 2026 · 11 articles
US states now require the original photo next to any altered listing image, but off-plan projects have no original to show. The artist's impression caption has lost its legal and commercial value, and developers need renderings that declare what is contract, what is staging and what is simulation.
In August 2026 ChatGPT swapped forums for canonical, first-party sources, and the visibility playbook the market had been buying stopped working. For a developer, the work that remains is duller than it sounds: publish as text the facts that currently live inside a render.
Mass timber is topping out record towers and heading into foreclosure in the same year. What 2026 reveals about the economics of building in wood.
Energy efficiency adds 1.6% to a home price while new rules add thousands in cost. That gap is a narrative problem, not an engineering one.
JLL found 92% of occupiers and investors launched AI programs and only 5% hit their goals. That gap explains why the giants are now building in-house.
Deloitte sees tokenized real estate reaching $4T by 2035. In 2026 the plumbing—Chainlink, Caliber, custody—finally caught up. A grounded reality check.
Modular luxury is real in 2026: prefab homes are shedding the trailer stigma and courting high-end buyers. What changed, and why it is a branding problem.
Data center real estate is 2026's most contested asset class. Why AI demand, power scarcity and private capital are rewriting the map.
Mass timber towers are going mainstream in 2026 — taller, faster, lower-carbon. What CLT is, how it beats concrete, and where the real limits still are.
Short-term rental as an asset class matured in 2026. Why developers now design the yield in before breaking ground.
97% of agents now use AI, yet few report real impact. Why AI in real estate augments agents instead of replacing them, and where the value actually is.
Real estate technology covers anything changing how property is built, financed or sold: construction methods such as mass timber and modular fabrication, capital-markets infrastructure such as tokenization, and the AI now used for underwriting, valuation and lead handling. Data centers belong to the same story from the other side, as the category the AI build-out pushed from an alternative allocation to the most contested asset class in commercial real estate, where site selection now starts with a utility rather than a broker. The common thread is that each of them moves a cost, a schedule or a buyer decision.
They fail on data foundations, not on models. JLL reports that 60% of investors still lack a unified technology strategy across their real estate functions, 70% of occupiers have no change management framework for AI, and 50% are not sufficiently resourced in digital and AI talent. A pilot succeeds on a curated slice and then meets a portfolio where the same asset carries a different identifier in the lease system, the accounting system and the appraisal file.
No, and the survey evidence points the other way. The National Association of Realtors found 68% of agents using AI but only 17% reporting a significant positive impact, and a Delta Media survey cited by Real Estate News put adoption at 97% of agents by early 2026, with 82% using it to write listing descriptions. AI is absorbing admin, listing copy and first-response lead handling. Negotiation, the relationship and local judgment have barely moved.
Loans and securitizations lead by a wide margin. Deloitte splits its US$4 trillion projection into tokenized loans and securitizations at US$2.39 trillion by 2035, private real estate funds at roughly US$1 trillion, and land or development assets at around US$500 billion. Direct tokenization of individual homes, the version that gets the headlines, remains the smallest and slowest segment, held back by regulation and by the fact that most people still buy a home to live in.
Usually not on the sticker, and frequently yes on the schedule. Data compiled by Zurich shows mass timber projects can be built about 25% faster than comparable concrete structures, with 75% fewer workers on site and panels weighing roughly one fifth as much, which shrinks foundations. The exposure is financial rather than structural: the United States imports roughly a third of its lumber, and the Commerce Department raised duties on Canadian lumber from 6.74% to 14.63%.
TBO has delivered more than 170 real estate launches since 2019, working remotely with developers outside Brazil. The capabilities page sets out the disciplines, the two engagement models and the time zone overlap for each region.
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