Propmodo Explores AI-Driven Feasibility Analysis and Its Impact on Real Estate Development

Propmodo examined how artificial intelligence is changing the economics of market and economic feasibility studies in commercial real estate development.

The article describes how traditional feasibility studies often require weeks of analysis and significant upfront cost, creating timing and capital constraints, particularly for smaller development teams. Shifting interest rates, construction costs and competitive dynamics can reduce the usefulness of static analyses delivered late in the predevelopment process.

Feasibly is cited as an example of an AI-driven platform designed to compress feasibility timelines, support scenario analysis and allow updates as market inputs change. Founder and CEO Brian Connolly explains that effective AI feasibility tools require disciplined data selection, domain-specific training and careful weighting of inputs rather than broad, general-purpose automation.

The piece also explores how faster and more accessible feasibility analysis may expand participation in mixed-use, affordable housing and public-private partnership projects. By lowering analytical barriers, the technology may influence which projects move forward and how development capital is allocated across markets.