The narrative that AI agents could trigger a sudden bank run by simultaneously optimizing user finances is likely overblown. Building the necessary user trust to link bank accounts and grant autonomous control is a multi-year process. This gradual adoption curve will give financial institutions ample time to adapt, preventing a catastrophic "flash crash."

An Apollo economist warns that AI agents could trigger bank runs by overcoming human inertia. They will automatically sweep trillions in idle cash from low-yield accounts to high-yield alternatives simultaneously. This mass, high-velocity withdrawal could destabilize banks reliant on cheap, static deposits.

As AI agents begin to conduct economic work and transact with each other, they will create an "agentic economy." Our current financial system is ill-equipped for this future, lacking the ability to handle the billions of instant, global, and micro-scale transactions that will become commonplace.

Banks oppose stablecoins because they disrupt a core profit center: the spread between low interest paid on deposits and high yields earned from investing those deposits in treasuries. Stablecoins can pass these yields directly to consumers, creating a competitive market.

An economist's warning of an agent-driven bank run highlights a systemic risk: many industries rely on consumer inertia and complexity for profit. AI agents that automatically optimize choices for users—like moving cash to high-yield accounts—could destabilize these established economic models by removing this profitable friction at scale.

While AI currently gives Nubank an edge, its long-term effect could commoditize the entire banking industry. AI agents could constantly optimize consumers' finances, automatically switching them to the lowest-rate products and eroding industry-wide margins.

The key threat from AI isn't just its capability, but the unprecedented speed of its improvement. Unlike past technological shifts that unfolded over decades, AI agent autonomy on complex tasks has grown exponentially in just two years. This rapid acceleration is what financial systems and labor markets are not stress-tested for.

The financial system is unprepared for the coming wave of AI agents. These agents will perform tasks and require payment, creating trillions of micropayments. Current infrastructure from Stripe, Visa, or Mastercard cannot handle this volume, creating a massive opportunity for new protocols to facilitate the 'agent economy'.

For AI agents to move beyond information retrieval and perform meaningful business tasks like paying invoices, they need their own financial infrastructure. This includes dedicated bank accounts and credit cards with programmable spending limits and controls.