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.

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 fears of a powerful AI hacking financial systems are valid, the more immediate and destructive risk is public perception. Widespread fear of a potential hack could trigger a bank run, destabilizing the financial system before any actual breach even occurs.

The idea that AI agents will autonomously choose and use software is futuristic but overlooks a crucial step: user trust. Most businesses are still in the early stages of adopting AI and are not yet ready to delegate high-stakes tasks without significant human oversight.

The concept of a fully automated financial agent appeals to tech-savvy power users but overlooks a critical barrier for mass adoption: trust. The average person is uncomfortable with an algorithm moving their money without explicit instruction, making this a product built for creators, not the actual market.

While AI agents see fast adoption in retail, progress is much slower in regulated sectors like healthcare and finance. For these sophisticated users, the catastrophic risk of a single AI "hallucination" outweighs the immediate benefits, leading to a cautious and prolonged experimentation phase.

Robinhood's AI agents for trading and shopping introduce a new challenge: user trust. The key question isn't whether AI *can* act autonomously, but how much leeway (or "leash") users will grant it with real money. Adoption will hinge on managing this perceived risk, as AI mistakes have direct financial consequences.

Beyond utopia, dystopia, or failure, a key risk is that AI delivers value, but too slowly to justify the massive, leveraged financial bets made on its rapid success. This mismatch in timelines between technological progress and financial obligations could precipitate a crisis.

Economists and regulators warn that millions of personal finance agents making simultaneous, "optimal" decisions—like sweeping funds to the highest-yield money market account—could create a flash crash or bank run, destabilizing the financial system through a-causal coordination.