Camber Creek reposted this
The numbers don’t lie: $18.9 billion in VC funding poured into AI companies in Q3 alone, accounting for 28% of all venture funding. The momentum behind AI is undeniable. Yet in industries like real estate and construction—sectors that collectively represent over $10 trillion in global economic activity—AI adoption remains low, with only 14% of real estate firms using AI as of 2023. This pace mismatch is more than a curiosity—it’s a flag. At Camber Creek, we hear about new AI tools and copilots daily. Their promise is intriguing—they have the potential to revolutionize these industries by optimizing workflows, reducing waste, and improving decision-making. But with AI evolving so rapidly, many real estate and construction firms face indecision among which solution to pick. The risk? Either over-investing in irrelevant tools or moving too slowly that the best solutions pass by. For founders building AI copilots: Embed yourself in the industry. These sectors have entrenched systems and unique workflows that you can’t understand from the outside. Build your product alongside owners, developers, contractors, and project managers—not in isolation. It’s better to co-create something they actually need than to perfect something irrelevant. For real estate and construction leaders: A “wait-and-see” approach is a losing strategy in this environment. If you’re not experimenting with new tools now, you’re ceding ground to your competition. The companies willing to adopt and adapt will gain a long-term edge (see my previous post on SERHANT. and their game changing tool S.MPLE). This isn’t just about keeping up with technology—it’s about redefining what’s possible in how we design, build, buy/sell, and manage the built environment. The AI copilot winners will be those who lean into this moment with collaboration, urgency, and a focus on real-world impact. #vc #venturecapital #tech #startups #founders #proptech #realestate #contech #construction
We have a genAi native product that's _not a point solution_ but uses data extraction from documents eg as a means to an end, to service our clients' goal of easily uniting structured and unstructured data, and querying those data in natural language. From Grainger to C&W, we're in multiple geos servicing early adopters and early majority already. We have a best in the world tech stack (eg our document retrieval model is better than OpenAI's and Nvidia's per peer reviewed research - see here https://www.linkedin.com/posts/thea-aviss-063438b9_241018105-activity-7255497587871346688-pVBS) So, what are we doing differently? - We live where people work: in email. Even if we ingest data via your sharepoint files and web domains you whitelist, and cite these sources, you can ask our AI anything over email. While sophisticated users can have a web UI for agentic workflow automation management, doc and data source management, and more.
Hey J.P., the AI wave in real estate and construction is exciting! Co-create with industry insiders for success. Don't wait on experimenting with new tools - it's the key to outpacing competition!
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VP Enterprise Innovation at Douglas Elliman, Inc. & Managing Director, New Valley Ventures LLC
1wI think part of the mismatch is it’s unrealistic to expect many traditional incumbents to rapidly adopt new solutions based on the inherent biology of big traditional companies. And part of the missed opportunity for disruption is that some early stage AI firms are stuck in the GTM strategy of selling or licensing their software to incumbents. In cases where the AI could genuinely be a better way to execute and the cost of entry into a part of the ecosystem isn’t too high (aka not construction) the software firms should consider BEING the businesses themselves. Or conducting JVs with small scale operators to prove the benefits of their business.