Augustus CEO says banks can’t rebuild for AI and stablecoins

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Augustus received conditional OCC approval this week. Source: PR Newswire The bank already runs euro payments and instant settlement for clients, including crypto exchange Kraken. “The clearing bank bond is truly broken,” he said, arguing there's an opportunity to “rethink it as an application and deliver something pretty terrific.” Related: JPMorgan to launch tokenized money market fund for stablecoin issuers Central to Dabitz’s pitch is the belief that large banks can upgrade legacy infrastructure but cannot fundamentally rebuild around AI and tokenized money. “I’ve come to the conclusion it’s impossible to re-platform a bank,” he said. Augustus plans a three-layer stablecoin model: using stablecoins as a funding rail for payments, as a treasury and liquidity tool to release what Dabitz estimates is around $3 trillion in trapped idle capital, and as the interface layer for AI agents interacting directly with money. He said the model could enable real-time treasury optimization and allow AI systems to become “first-class customers” of the bank, handling tasks such as liquidity management and transaction monitoring on behalf of corporates. Dabitz’s argument comes as major banks accelerate their own AI and digital asset initiatives. JPMorgan Chase says it invests more than $18 billion annually in technology, including AI, and Citi reported over $6.1 billion in clearing-related revenue in Q1 alone, highlighting the scale of the incumbent profit pool Augustus is targeting. Dabitz argues his team can still move faster because it is designing AI and stablecoin workflows into its operating model from the outset rather than retrofitting existing systems. Related: Argentine banks testing JPMorgan’s JPM Coin to speed up settlements: Report He also described the US banking market as structurally under-innovated, noting that banking is unusually labor-heavy compared with other major industries, with people rather than assets forming a major part of operating costs. Augustus wants to compress processes such as transaction monitoring, case handling and suspicious activity reporting from “20 hours to 20 minutes” using AI, with humans supervising the systems rather than manually performing every step. Critics question whether a young, AI-focused bank with a 25-year-old leader at its helm can safely automate compliance-heavy operations without introducing model risk, explainability problems or operational failures. Dabitz said that only makes the challenge “more exciting” and that the company plans to work closely with regulators and banking executives to ensure “the checks and balances and the harness for the AI to operate in a safe and sound manner.” Magazine: Bitcoin will not hit $1M by 2030, says veteran trader Peter Brandt More on the subject

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