When nearly every buyer begins a search on a screen—96%, by the latest tally—digital touchpoints set the tone for the entire transaction.

Global investors are stepping back into international bricks-and-mortar. Asia Pacific posted USD 23.8 billion in cross-border acquisitions during 2024, a 43% year-on-year increase, with Japan, Australia and Singapore drawing the lion’s share of overseas bids.

Commercial real estate now competes on latency as much as on location. Edge-deployed artificial intelligence—models that sit inside building controllers, smart meters, and camera systems—turns raw telemetry into immediate profit moves.

The conversation around artificial intelligence in real estate has shifted from “why” to “who will run it.” The global AI-in-real-estate market is projected to jump from $222.65 billion in 2024 to $303.06 billion in 2025, a 36.1 percent CAGR.

Real-estate deal origination once relied on rolodexes, instinct, and long lunches. Today, competitive advantage sits inside graphics processing units.

Capital once moved at the speed of quarterly reports. Today coded algorithms scan debt markets, satellite feeds, leasing ledgers and environmental sensors in seconds, proposing trades before most professionals finish coffee.

An asset class measured in the trillions still relies on rows and columns that first shipped in 1985. Radix Software’s February 2025 estimate suggests nine out of ten properties keep market data in Excel, leaving critical cash-flow decisions exposed to version drift and broken links.

Large language models no longer sit on the innovation fringe; they now define how global real estate managers originate deals, operate assets, and serve investors.

Residential and small-balance commercial assets trade on trust. That trust hinges on clear, defensible inspection documentation.

Every day across Latin America, street vendors, moto-couriers, and unregistered contractors trade goods and services worth hundreds of billions of dollars.

Rising energy prices, stricter ESG reporting and unpredictable occupier demand are squeezing real-estate balance sheets.

AI went from pilot to board-level priority faster than any instrument in recent memory. Executives who control trillions in real-estate assets now confront a stark question: will their teams shrink or gain new altitude?

Institutional investors are accelerating the shift toward forward-looking data science to sharpen pricing decisions and guard capital.

Generative language models and task-specific bots are no longer science-fair prototypes on the engineering bench; they are stepping into full-time roles inside leading office, retail, and logistics portfolios.

A year after the landmark U.S. commission-settlement, a new kind of “agent” is taking center stage: software that prospect s, prices, and negotiates without coffee breaks.

Generative AI has moved from theory to balance-sheet influence. McKinsey’s 2024 global survey shows overall enterprise adoption at 72 percent—up from barely half only a year earlier—and two thirds of respondents expect higher AI budgets through 2027.

Artificial Intelligence (AI) is reshaping real estate in profound ways, redefining how buildings are conceived, developed, and managed.

The real estate industry is undergoing a profound transformation as ready‑made AI tools gain traction across brokerage firms, CRE services, and property management teams.

Lee Layton, a recognized voice in operational real estate with over two decades of strategic advisory experience, will be speaking at the ReShaped: AI x Real Estate virtual summit on September 20.

Lucas Dahl, Founder and CEO of RETS, is set to take the virtual stage at ReShaped: AI x Real Estate, a high-caliber event convening over 40 leaders driving change across the built environment.

The way real estate professionals build, invest, and manage assets is undergoing a significant shift. Artificial intelligence is no longer a speculative conversation—it’s a pragmatic reality reshaping how the business operates.

On September 20, real estate executives, technologists, and urban planners will convene for the ReShaped: AI x Real Estate virtual summit—an event designed to explore the most impactful applications of artificial intelligence across the built environment.

The commercial real estate market is undergoing a systemic recalibration—driven in no small part by advances in artificial intelligence.

The University of Tulsa’s Cayman Seagraves will join over 40 real estate leaders and AI experts this September at the ReShaped: AI x Real Estate virtual event.