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AI forecast to change landlords' lives for better

AI used for property deals

AI and automation will make legal requirements under the Renters’ Rights Act manageable by integrating document checks, renewal alerts, and compliance logs within landlord platforms, predicts a technology expert.

When Section 21 is abolished and the sector shifts to periodic tenancies next May, landlords face tighter documentation of maintenance, safety certificates, and notices, along with more scrutiny of digital records and increased accountability for fair treatment and compliance processes.

However, Naomi Jackson, VP of product and technology at property investment platform GetGround, advises landlords to embrace AI and use it to plan scenarios, structure ownership, and stay compliant. She points to the introduction of Making Tax Digital next April for landlords earning over £50,000 who will have their first experience with end-to-end digital bookkeeping - but says AI will make this transition practical, not painful.

Evaluation

AI can also be used in deal evaluation, levelling the playing field with institutional landlords who have traditionally held the upper hand in property investment thanks to their resources and scale, she explains.

“Smaller landlords can now access instant deal evaluation tools that replicate the insights once reserved for analysts, alongside automated filings and compliance reminders that simplify ongoing management,” says Jackson. “They can use predictive cashflow models and refinance triggers to plan strategically.”

Enables

AI enables smaller investors to navigate regional yield variation by analysing live market data to surface yield-adjusted investment hotspots and, as MEES regulations tighten, AI can forecast the return on investment for energy upgrades.

She believes that by 2030, the PRS will look markedly different, shaped by widespread AI adoption and data-driven decision-making.

“AI adoption among retail landlords will accelerate sharply, from fewer than 10% today to more than 70% using AI-powered tools,” adds Jackson. “The average analysis time per deal will drop dramatically, from hours in 2025 to under two minutes by 2030, reflecting near-instant evaluation capability. Average retail PRS yields are forecast to strengthen from 3–5% in 2025 to 4– 6% by 2030, supported by smarter deal selection, tax efficiency, and operational optimisation.”

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artificial intelligence
renters' rights act

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