More on AI

Vacancy in US multifamily housing is no longer just about lost rent. In 2026, the real cost builds across turnover, marketing spend, holding costs & concessions, often exceeding the rent lost during the vacancy period itself. This article breaks down exactly what vacancy costs, why it is getting worse despite stable demand, and how AI is helping operators close the gap through faster lead response, automated scheduling & consistent follow-up. Includes a worked cost calculator to put the numbers in context.

Multifamily housing is no longer testing AI. It is reorganising around it. This article covers the three pressures driving adoption in 2026, centralisation, labour constraints & financial efficiency, where operators are deploying AI first across leasing, resident communication & multi-channel interaction, and what separates operators seeing real results from those still treating it as a bolt-on. If you are weighing up when and how to integrate AI into your portfolio operations, this is a practical place to start.

Traditional agencies and AI-led property management are no longer comparable in the same way they were two years ago. This article breaks down exactly where the two models differ across response times, scalability, cost & consistency, where human-led operations still hold a clear advantage, and why the hybrid model is becoming the default for serious operators. It also covers the tech stack challenge, the economics of scaling, and a practical framework for choosing the right approach based on portfolio size, audience & growth plans.