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Future of the Mortgage Market: AI’s Impact by 2027

AI is set to transform the mortgage market by 2027, improving sourcing efficiency for brokers and advisers.

By David Sampson
17 September 2026
3 min read
UK mortgage rates article image for Future of the Mortgage Market AI s Impact by 2027

TL;DR

  • Mortgage sourcing will be revolutionised by AI, significantly altering processes for brokers and advisers.
  • Mortgage Brain s internal AI solutions are set to launch in 2027.

Written by David Sampson for Mortgage118. Last updated 17 September 2026. Reviewed against our editorial standards. Editorial standards. Mortgage118 is a directory — not FCA-authorised and not a mortgage adviser.

The mortgage market is on the brink of transformation, with advancements in artificial intelligence (AI) set to reshape how mortgage sourcing operates. Insights from the British Mortgage and Protection Senate indicate that the current methods of sourcing mortgages will evolve significantly by 2027, driven by technology aimed at improving efficiency for brokers and advisers.

How Will AI Change Mortgage Sourcing?

Neil Wyatt, Chief Commercial Officer at Mortgage Brain, highlighted that the traditional method of sourcing mortgages involves manually entering data and navigating various systems to identify suitable products. This process is expected to be streamlined through the implementation of AI, which aims to enhance mortgage research capabilities and identify information gaps that could assist in case packaging.

What Innovations Are Coming from Mortgage Brain?

Mortgage Brain is actively developing AI solutions that are anticipated to launch in 2027. Zahid Bilgrami, the CEO of Mortgage Brain, emphasised that the AI technology being utilised is proprietary, having been developed and refined in-house. This approach ensures that the intellectual property remains with Mortgage Brain, allowing them to tailor solutions specifically for the UK mortgage market.

What Are the Concerns About AI in the Mortgage Market?

While the potential benefits of AI in mortgage sourcing are significant, Bilgrami raised concerns regarding the sustainability of current subscription costs associated with these platforms. He pointed out that many users may not fully understand the long-term financial implications of adopting AI technology, especially when current subscription models are heavily subsidised by investment capital. The £20-per-month cost for consumers, which can translate to £400-£600 for providers, raises questions about the viability of these models in the future.

What This Means for Brokers and Advisers

For brokers and advisers, the shift towards AI in the mortgage market presents both opportunities and challenges. The anticipated improvements in sourcing efficiency could lead to faster turnaround times and better service for clients. However, brokers will need to stay informed about the evolving costs and functionalities of AI tools to ensure they are making sound business decisions. Understanding the technology and its implications will be important for remaining competitive in a rapidly changing market.

Frequently asked questions

How will AI improve the mortgage sourcing process?

AI is expected to streamline the mortgage sourcing process by enhancing research capabilities and identifying information gaps, making it easier for brokers to find suitable products for clients.

What are the potential costs associated with adopting AI technology?

Current subscription models for AI platforms are heavily subsidised, leading to concerns about their sustainability. Brokers should consider the long-term costs of AI adoption, as the £20-per-month consumer fee may not be viable for providers in the future.

About David Sampson

David Sampson writes about the UK mortgage market for Mortgage118, covering specialist lending, market trends, and practical advice for borrowers. All content is reviewed for accuracy against FCA guidelines and current market data.

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