Banks leverage AI to assess risk and loans issued via AI reach $315 billion by 2025

A new Juniper Research study found that the value of unsecured loans issued via AI underwriting platforms will reach $315 billion in 2025, up from just $24 billion in 2020. This extraordinary 1,200% growth over 5 years will be driven by lenders seeking to leverage AI to rebuild and streamline their lending operations following the dramatic impact of the pandemic.

The report identified that lenders, who have been reeling from the effects of bad debt write-offs and repayment holidays, will leverage AI models to more accurately assess and mitigate the risks that consumer and business customers represent. This will enable lenders to build more sustainable lending models in the wake of the unprecedented economic turbulence.

Consumer lending to account for the majority of AI underwritten value

The new research, AI & Automation in Banking: Adoption, Vendor Positioning & Market Forecasts 2020-2025, found that consumer lending is driving overall AI lending, accounting for 66% of loans by value underwritten by AI by 2025. AI, when combined with services such as Open Banking, can build a comprehensive picture of financial status and anticipate future risks. Juniper Research recommends that lenders leverage these AI capabilities to expand their portfolios post-pandemic to those without detailed credit files.

George Crabtree, Research co-author

Expanding lending operations into untapped areas of the market is a critical way in which banks can not only increase their own revenues but also compete more effectively with rival fintech services.

Roboadvisor assets under management set to soar

The research also found that roboadvisors, where AI actors manage investments for users, will account for over $3 trillion in assets under management in 2025, from $500 billion in 2020. Rather than selling services directly to users, roboadvisors should partner with large banks. This enables roboadvisors to access large groups of potential users underserved by current wealth management propositions, growing revenues while keeping customer acquisitions costs low.