This is a scenario warning from Apollo's chief economist, not a live event, so the direct market impact today is limited, but the underlying rate gap it highlights is real and already priced into deposit flows. The chart Slok cites shows fintech and neobank products paying between 3.3 percent and 5 percent, against FDIC national averages of just 0.4 percent on savings accounts and 0.1 percent on checking accounts, a spread of up to roughly 4.9 percentage points at the top end. If agentic AI tools accelerate that existing deposit migration by automating it at scale, the risk Slok flags is a faster erosion of banks' cheap funding base, which would matter for bank net interest margins, lending capacity and, in a stress scenario, funding stability more broadly. For now this sits as a forward-looking risk to watch rather than a confirmed trend, and it is worth monitoring regional bank commentary and deposit data for early signs of the dynamic Slok describes.---Speaking of banks ...US bank failures in 2026, 6 now. California seizes Nano Banc.---Slok's warning is less about any single bank and more about what happens to the entire system if millions of households let an AI agent chase the best rate automatically, all at once.Summary:Apollo Global Management chief economist Torsten Slok has raised the prospect of an "agentic bank run", in which AI assistants automatically move household cash into higher-yielding accounts.Slok's note points to agentic AI tools potentially sweeping cash into accounts paying between 3.3 percent and 5.0 percent, compared with a national average of just 0.1 percent on checking accounts.An accompanying chart shows a range of fintech and neobank products, including Adelfi at 5.0 percent, Sofi at 4.5 percent, LendingClub and LevelUp at 4.2 percent, and Pibank at 4.1 percent, all well above FDIC national averages of 0.4 percent for savings accounts and 0.1 percent for checking accounts.Slok's concern is systemic: if households broadly used AI agents to optimise cash returns, banks could lose a large share of the low-cost deposits they depend on to fund lending.He frames this as a potential problem for the entire financial system rather than for any single institution.Apollo Global Management's chief economist, Torsten Slok, has flagged a new kind of systemic risk taking shape at the intersection of artificial intelligence and consumer banking: what he describes as the potential for an "agentic bank run." His warning centres on a simple but significant rate gap. Muse and similar agentic AI assistants, Slok notes, could soon automatically sweep household cash balances into accounts paying between 3.3 percent and 5.0 percent, replacing the 0.1 percent that the average American household currently earns on checking account balances.The scale of that gap is laid out clearly in an accompanying chart. Fintech and neobank providers including Adelfi, Sofi, LendingClub, LevelUp, Pibank, Revolut, Current, Fitness Bank, Varo, Wealthfront and AlumniFi are shown offering annual percentage yields ranging from 3.3 percent at the low end to as much as 5.0 percent at the top, all comfortably ahead of the FDIC's national average of 0.4 percent for savings accounts and just 0.1 percent for checking accounts. That is a difference of close to five full percentage points between the best available fintech rate and what a typical bank checking account currently pays.Slok's underlying concern is not that any individual household chasing a better rate is a problem. It is what happens if that behaviour becomes automatic and widespread. If agentic AI tools make it trivially easy for millions of households to optimise the return on their cash simultaneously, banks could see a rapid and broad-based erosion of the low-cost deposits they rely on to fund loans. That kind of deposit base has traditionally been considered "sticky," in large part because most people do not actively manage small differences in interest rates on transaction accounts. An AI agent acting on a household's behalf removes that inertia.The framing as a potential bank run, rather than simply a shift in deposit market share, reflects the systemic angle Slok is drawing attention to: a fast, coordinated, machine-driven reallocation of deposits away from the banking sector could strain the funding models banks use to support lending, with implications that extend beyond any one institution to the financial system as a whole. As agentic AI tools become more capable and more widely adopted by consumers, the rate gap shown in Slok's chart is likely to remain a point of reference for how real, and how fast-moving, this risk could become. This article was written by Eamonn Sheridan at investinglive.com.