UAE PropTech Revolution: AI-Powered Mortgages Prioritise Smarter Decisions Over Speed

4 min
AI is reshaping UAE mortgages, shifting focus from speed to āsmarter decisionsā and early clarity.
Financial firms rapidly adopted AI, but rushed approvals still cause bounces and surprises.
The real value lies in tools that āclean documentsā and flag issues before applications.
Holo and similar platforms blend AI checks with human guidance to avoid costly mistakes.
National digital strategies could make home financing calmer, clearer, and more predictable.
Artificial intelligence is creeping into almost every corner of the UAEās property scene, and mortgages are no exception. Whatās interesting about 2026, though, is that the conversation is shifting. Itās no longer just about faster approvals or shaving days off paperwork. The real focus now is on smarter decisions, earlier clarity, and fewer nasty surprises down the line for homebuyers.
Iāve lost count of the number of founders and first-time buyers Iāve spoken to at Arageek events who said the same thing: speed is great, but not if it leads you into a dead end later. And honestly, they have a point. According to figures shared by regulators, AI adoption among financial firms in the DIFC jumped to 52% in 2025, up from 33% a year earlier, with generative AI usage almost tripling. Impressive, sure. But speed alone can be a bit of a faff when applications bounce back due to missing documents or misunderstood affordability limits.
Thatās where the next phase kicks in. The UAEās real estate tech market, including AI-powered property and mortgage platforms, is expected to grow from $717 million in 2025 to around $837.5 million in 2026. Globally, AI-driven real estate tools are on a similar tear, with forecasts pointing to nearly fivefold growth by 2029. Believe it or not, the most valuable tools arenāt the flashy ones, but those quietly cleaning documents, flagging issues early, and matching buyers with realistic bank scenarios before anyone gets their hopes up.
Arran Summer, COO and co-founder of Holo, summed it up neatly when he said that buyers now want clarity much earlier in the process. Smarter AI, he explained, helps surface issues sooner, create cleaner applications, and give people more realistic answers from the outset. The idea is simple: if buyers understand what they can truly afford early on, and banks receive review-ready files, the whole journey becomes far less stressful. I reckon thatās spot on, especially in a market where expectations can run ahead of reality.
Holo, a UAE-born proptech player, is already leaning into this approach. Instead of just digitising paperwork, its AI tools are being used to structure documents, spot red flags early, and model lender scenarios before applications are submitted. The goal is to get it right the first time. On the flip side, this also shows how human expertise still matters. Technology might do the heavy lifting, but guidance and context are what stop buyers from making costly mistakes⦠well, at least in my experiance.
This mirrors a broader regional trend. Across the GCC, AI adoption jumped from 62% in 2023 to 84% recently, yet only a small number of organisations say AI is fully embedded into core operations. Thereās a clear gap between experimenting and actually seeing impact. In mortgage lending, benchmarks suggest that intelligent document processing and early issue detection are fast becoming the real differentiators, not just automation for its own sake.
All this also ties neatly into the UAEās wider digital push. National strategies like the UAE Artificial Intelligence Strategy 2031 and Dubaiās D33 agenda are pushing for more data-driven and transparent systems across finance and real estate. If done right, this could mean a home-financing process thatās cleaner, more predictable, and frankly less nerve-wracking.
At the end of the day, faster is nice. Smarter is better. And if platforms can combine clever AI with solid human advice, buyers across the UAE might finally feel chuffed to bits about taking that step onto the property ladder.
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