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AI-Native Lender Launches Token-Backed Mortgages as Banks Deploy 24/7 Digital Asset Products

Better Home & Finance introduced token-backed mortgages that let crypto holders pledge digital assets as collateral without liquidating holdings. The AI-native lender's product addresses homebuyers with digital wealth but insufficient cash downpayments. BMO separately deployed 24/7 tokenized cash capabilities as traditional banks accelerate cryptocurrency integration.

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Salvado

March 28, 2026

Source Trace Score12 source documents12 with a live linkVerifiability: Strong
AI-Native Lender Launches Token-Backed Mortgages as Banks Deploy 24/7 Digital Asset Products
Image generated by AI for illustrative purposes. Not actual footage or photography from the reported events.

Better Home & Finance launched a token-backed mortgage product that allows Americans to pledge digital assets as collateral for home loans without selling their crypto holdings.1 The AI-native mortgage lender partnered with a major crypto exchange to create what it calls the first direct pathway from digital wealth to homeownership for borrowers who own tokenized assets but lack sufficient downpayment funds or prefer to keep cash liquid.2

The product targets a growing demographic of crypto holders who face liquidity constraints despite substantial digital asset portfolios. Borrowers can now secure mortgages by collateralizing tokens rather than converting holdings to fiat currency, preserving potential upside while accessing real estate financing.3

BMO separately deployed 24/7 tokenized cash capabilities, reflecting broader institutional adoption of digital asset infrastructure. Traditional banks are racing to integrate cryptocurrency products as client demand grows and regulatory frameworks stabilize.

The mortgage innovation arrives as fintech firms highlight infrastructure gaps in AI-powered financial systems. Theia Insights, founded by former Amazon AI researchers, argues that algorithmic trading and capital allocation tools remain limited by static economic classification frameworks.4 The firm contends that AI models powering financial systems are only as good as the economic maps they use as input, and that markets cannot allocate capital effectively without clear economic visibility.5

Digital asset integration is accelerating across financial services as institutions seek competitive advantages. Token-backed lending products reduce friction for crypto-native customers while generating fee revenue for lenders. Banks offering 24/7 settlement capabilities gain trading volume from clients who previously used crypto-only platforms.

The convergence of digital assets and AI-driven underwriting represents a structural shift in risk assessment and transaction processing. Lenders can now evaluate collateral in real-time across traditional and tokenized assets, while AI models analyze borrower behavior patterns that conventional credit scoring misses.

Regulatory clarity remains uneven, but major financial institutions are moving forward with crypto product launches. The token-backed mortgage market is nascent but growing as younger demographics with digital-first wealth profiles enter peak homebuying years.

Source documents

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Source Trace Score12 source documents12 with a live linkVerifiability: Strong
  1. [1]News articleYahoo Finance· March 27, 2026
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  11. [11]News articleYahoo Finance· January 30, 2026
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  12. [12]News articleYahoo Finance· February 24, 2026
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Salvado

Tracking how AI changes money.