The Normalization Problem
AI can read a financial statement in seconds. It cannot automatically know that the current owner self-manages the property and a management fee needs to be added back. That knowledge lives outside the document.
AI can read a financial statement in seconds. It cannot automatically know that the current owner self-manages the property and a management fee needs to be added back. That knowledge lives outside the document.
Lease abstraction used to take four to six hours per lease. AI has brought it to fifteen minutes. The question now isn't whether AI works — it's where the output goes.
The question for professional AI tools isn't whether the AI is accurate enough. It's whether the output clears the threshold to go directly to the investment committee.
Commercial real estate acquisitions run on a thirty-day due diligence clock. Everything about professional AI tools for this market has to be understood in terms of that constraint.
The last open question was competitive moat. After fifty-five consecutive nights, all the questions have answers.
When every tool is optimized for one property type, the analyst who works across types is left with nothing.
Finding deals and analyzing deals are different problems. The tools solving one aren't solving the other.