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2026-09-01 07:22:21

Gemini, MoonPay, the Dallas Fed and BIS point to the same shift in agentic finance

A series of developments across enterprise AI, crypto lending, banking research and payment infrastructure is starting to sketch a shared direction for finance. On Aug. 25, Google Cloud rolled out Gemini Enterprise for Financial Services, pushing AI deeper into workflows such as KYC, credit analysis, portfolio monitoring, bond issuance and financial research. Two days later, MoonPay said it had connected PayBox to Kamino on Solana, letting users initiate lending and access yield through interfaces such as Claude and ChatGPT. Around the same time, the Federal Reserve Bank of Dallas published research on what happens to deposit stickiness if deposits can move in real time and AI can automatically compare yields for households and businesses. BIS also referenced Project Agorá, which recently completed a real-money test tied to tokenized deposits and central bank money. Taken together, these events suggest the key threshold for AI in finance is not simply whether models understand finance better. The bigger question is when they are allowed to make bounded financial decisions on a user’s behalf and actually move money. The article argues that the market is not jumping straight from manual finance to fully autonomous finance. Instead, it is building narrower forms of authorization, execution and auditability that let AI act within preset limits. That shift could eventually affect treasury operations, programmable money, deposit competition and the way banks defend customer relationships.

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Gemini, MoonPay, the Dallas Fed and BIS point to the same shift in agentic finance
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