AI Powers Leaner Homebuilding Land Acquisition Teams

Artificial intelligence is transitioning from theoretical discussions to practical applications, actively powering business operations and delivering tangible results, a prominent theme at HousingWire's AI Summit held on Tuesday in Dallas. For homebuilders, the focus has shifted from debating AI adoption to identifying its most impactful applications and optimal implementation strategies. Century Communities, a company ranked 13th in the HousingWire Homebuilder Rankings, now considers AI integration a necessity, embedding it within the intricate, paperwork-intensive, and research-heavy workflows involved in identifying potential land acquisition targets for its Century Complete entry-level communities.

During a session at the HousingWire AI Summit, Chris Coakley, the corporate director of land for Century Communities' affordable product division, emphasized that leveraging AI in land acquisition has become a critical capability. This is particularly true for Century Communities, which operates under a hub-and-spoke model. This model relies on lean, minimally staffed local land acquisition teams covering 45 markets across 16 states. Coakley explained that while this structure enables a more efficient organization, it also places a substantial workload on a limited number of local team members. He stated, "Those teams are very lightly staffed. They do all their due diligence themselves, and they do all their underwriting themselves. Maybe the big deals get to corporate, but it’s at a point where it’s already been significantly vetted."

AI is presented as the solution to empower these lean organizations to "better own the deal," as Coakley articulated. Many homebuilders, including Century Communities, have already begun utilizing AI to enhance the initial stages of land due diligence. Platforms such as Acres and Prophetic are designed to assist land teams in rapidly assessing a property's development suitability before significant resources are committed. These tools can analyze vast datasets, potentially including zoning regulations, environmental reports, and market demand, to provide an early indication of a site's viability. This pre-screening capability allows teams to focus their limited time and resources on the most promising opportunities, thereby increasing the efficiency and effectiveness of the land acquisition process. The integration of AI in this domain signifies a broader trend of technological adoption aimed at optimizing core business functions within the construction and real estate sectors, addressing challenges posed by market dynamics and operational constraints.