Real estate is a long-term business underwritten on short-term certainty. A sponsor structures a deal today on assumptions that will govern the asset for five, seven, perhaps 10 years — population growth, employment concentration, rental demand, retail traffic. Those assumptions are drawn from historical data. For most of the industry’s modern history, that was a reasonable methodology. Structural change moved slowly enough that the past was a reliable guide to the near future.
That condition no longer holds.
Artificial intelligence is compressing the pace of structural economic change in ways that make historical patterns an increasingly unreliable basis for long-duration underwriting. The disruption is not hypothetical, and it is not evenly distributed. It is already repricing labor markets, accelerating population movement, reshaping office demand, and altering the economic geography of the United States at a speed that conventional pro forma methodology was nev
