Dealpath has released findings from a new survey of institutional commercial real estate (CRE) investors on the impact of artificial intelligence (AI) on investment decisions. The survey’s findings reveal the gap between AI adoption and measurable returns, why data infrastructure limits results, the output verification tax firms are paying, and next steps to resolve these inefficiencies.
Three findings define this year’s report:
97 percent of professionals report that AI is integrated into their firm’s investment process. Yet only 51 percent of professionals say AI actually saves them time once output verification is factored in, and 41 percent say work involving AI takes longer than doing it manually, because every output must be checked before it can inform a decision.
When AI falls short, fragmented data is the most commonly cited reason, named by 43 percent of professionals, ahead of hallucinated outputs or any limitation of the models themselv
