News, insights, and quick takes on AI in real estate.
OpenAI files for IPO at a trillion-dollar valuation, Google launches its first consumer AI agent, and a supply chain attack exposed 3,800 GitHub repositories including AI tool credentials.
Anthropic's latest flagship lands six weeks after Opus 4.7 at the same price, with measurable coding gains, a new effort-control dial, and a faster, cheaper fast mode.
AI agents, search updates, and a delayed executive order all pointed in the same direction this week: AI is becoming operational, not experimental.
AI-driven fraud hits crisis levels, brokerage adoption goes near-universal but enterprise deployment lags, and proptech capital pivots hard toward agentic AI.
A digest of the most significant AI developments in real estate this month — tool launches, industry moves, and the news worth knowing.
A quick scan of what happened in AI this week that's worth knowing if you work in real estate.
A plain-English answer for anyone who keeps hearing about AI but hasn't tried it yet.
AI continues to reshape real estate this week, from record home prices in tech hubs to new infrastructure, policy, and workplace changes that will affect how property teams operate.
The Federal Trade Commission has been increasingly vocal about AI in advertising and marketing, and some of its recent guidance has direct implications for how real estate professionals use these tools.
As AI-generated content becomes standard in real estate marketing, questions about copyright ownership and MLS data rights are starting to get real legal attention.
AI-generated virtual staging has become difficult to distinguish from professional photography, raising new questions about disclosure and buyer expectations.
Google's document AI lets you upload files and have a conversation with them. For agents and title professionals dealing with complex documents daily, it's more useful than most people realize.
Every few months, the major AI labs release new or improved models. For real estate professionals trying to build AI into their practice, here's how to think about what changes and what doesn't.
Zillow has been quietly building out AI capabilities across its platform, from listing recommendations to natural language search. Here's a clear-eyed look at what's changed.
Inside sales agents have been a staple of high-volume real estate teams for years. AI-powered lead follow-up is beginning to change that calculus, and some teams are already restructuring.
The National Association of Realtors has begun issuing guidance on AI use for its members, covering marketing, client communication, and data privacy. Here's a plain-language breakdown.
As AI takes on more roles in real estate marketing, lead generation, and client matching, fair housing advocates are raising concerns about algorithmic bias that the industry hasn't fully addressed.
The largest real estate brokerages are moving beyond AI experiments and into systematic deployment. The early results reveal what works, what doesn't, and what's coming next.
AI is increasingly handling the administrative side of real estate transactions, and some brokerages are starting to ask whether human TCs are still necessary.
From virtually staged rooms to AI-enhanced exteriors, manipulated listing photos are increasingly common, and the rules around disclosing them are still being written.
Most people treat AI like a search engine. That's why they're disappointed with the results. Here's the mindset shift that actually changes what you get back.