🤖 JLL warns AI is reshaping CRE tech bets

JLL has warned that artificial intelligence is changing how commercial real estate operators choose between building technology in-house and buying it from vendors. The guidance argues that AI-generated code is lowering the cost of development, but increasing the risk of failed internal builds, cybersecurity gaps and data privacy problems.

The new guide, published on 24 September 2026, says established technology vendors may now offer a safer route for many owners and operators than custom platforms. JLL frames the shift as part of a broader re-evaluation of proptech economics, as AI accelerates software development while raising governance and compliance concerns. The publication does not quantify the size of the market impact, but it positions AI as a portfolio-level operational risk rather than a pure efficiency tool. According to JLL, the issue is becoming more urgent as real estate firms look for faster deployment and more reliable digital infrastructure.

Why it matters for investors

For investors in office, logistics and large-scale residential platforms, the message is that technology selection is now part of operational risk management. If AI makes it easier to prototype systems but harder to control quality, the value of proven enterprise vendors rises relative to bespoke internal builds. That could benefit listed software and building-operations platforms with deep compliance and security capabilities, while increasing pressure on owners that have relied on fragmented, home-grown tools.

➡️ AI is pushing CRE operators to reassess the economics of custom technology stacks.

➡️ Cybersecurity and data privacy are becoming central due-diligence issues in proptech adoption.

The signal for international capital is clear: in commercial real estate, technology procurement is increasingly a balance between speed, control and downside protection.