Ripple CTO emeritus David Schwartz has weighed in on a resurfaced November 2020 paper co-authored by former SEC Chair Gary Gensler and Lily Bailey at the Massachusetts Institute of Technology (MIT) Sloan School of Management. The paper warned that deep learning's broad adoption in finance could create financial-system fragility and economy-wide risks, while existing regulatory regimes might not adequately address them. X user Andrew Curran revived the discussion, arguing that Gensler may have anticipated systemic risks from financial AI adoption. Curran also cited Torsten Slok, chief economist at Apollo, who warned that mass adoption of AI agents could trigger a bank run as they optimize users' investments. Schwartz agreed with much of the concern but rejected the idea that increasingly intelligent systems would necessarily make irrational decisions, writing that he disagreed with the notion that they would be "so smart that they'll do dumb things." The debate highlights how autonomous AI agents (software that plans and executes tasks independently) could affect financial infrastructure and regulation when thousands or millions operate simultaneously.