![\"Placeholder\"\/](\"https:\/\/www.europesays.com\/uk\/wp-content\/uploads\/2025\/04\/1744977801_959_placeholder.png\")
<\/p>\n
\n Bisnow\/Mike Phillips\n <\/p>\n
\n LCA’s Seth Oberlander, Related Argent’s Jack Sibley, Pi Labs’ Stefania Ponzo, Re-Leased’s Tom Wallace, Concrete Ventures’ Dominique Gonfard and KPMG’s Brian Duren\n <\/p>\n
Artificial intelligence could\u00a0solve that.<\/p>\n
Generative AI has the potential to transform business models and allow individuals and companies to leapfrog entire stages of their evolution, moving into new sectors in weeks or months rather than years, for instance.\u00a0<\/p>\n
But that remains some way off \u2014 not necessarily for technological reasons, but for prosaic ones, like complications over professional indemnity insurance. There are also\u00a0bigger issues, like the fact that greater transparency brought about by AI might not be good for the profits of incumbent businesses.<\/p>\n
The first stage of AI implementation is\u00a0what Wallace refers to as reducing toil \u2014 small, menial tasks that may only take five or 10 minutes each but add up to a serious time suck. Wallace said\u00a0the risk of handing over this work to a computer\u00a0is similar to the common practice of giving it to\u00a0junior associates at the start of their career.<\/p>\n
The list of such tasks is almost endless, but reviewing leases and other contracts was most cited at the event \u2014 comparing the leases of tenants in a building during acquisition due diligence might take weeks for a human but can be done in minutes by AI, for instance.\u00a0<\/p>\n
Then there is AI that allows industry professionals to iterate different scenarios or strategies quickly and efficiently in worlds as diverse as design or investment underwriting.\u00a0<\/p>\n
Pi Labs<\/a>\u00a0partner Stefania Ponzo gave\u00a0the example of\u00a0a Norwegian company in which the VC firm has invested called Laiout, which allows users to design different floor plans for an office or factory in seconds based on different criteria for the end user. That might previously have taken a consultant days or weeks, and the technology allows people to more easily imagine new uses for previously obsolete buildings, she said.<\/p>\n At the moment, however, the real estate sector is far from seeing widespread adoption of AI technology, be it large language models such as a GPT, specifically designed tools or agentic AI, the next innovation coming down the track<\/a>, in which AI programmes undertake\u00a0tasks on behalf of a company such as answering customer emails.\u00a0<\/p>\n