Raoul Pal Says AI Agents Could Run Their Own Treasuries and Chase DeFi Yields: ‘We Built the Financial System Agents Needed’

Macro investor Raoul Pal said increasingly autonomous AI agents could evolve into profit-driven economic entities capable of managing capital, making investment decisions and operating through decentralized finance.AI Agents Could Manage Their Own TreasuriesOn Monday, the Macro investor outlined his vision in a post on X, arguing that once AI agents become financially incentivized, they could begin managing their own corporate treasuries."The moment agents become profit incentivised they’ll end up running their own treasuries," Pal said.He explained that an AI agent operating across multiple Layer 1 and Layer 2 blockchain networks could accumulate different tokens and eventually need to make asset-allocation decisions, including determining which assets to hold and where to earn yield.Pal suggested agents could also delegate financial responsibilities to other AI systems, creating an interconnected network of autonomous financial managers."A corporation runs a treasury at human speed, with meetings and sign offs," Pal wrote.He added, "An AI corporation will run one wildly differently."DeFi Could Power Autonomous AI EconomiesReal Vision CEO envisioned an autonomous corporate ecosystem operating at "machine speed, around the clock, with agents all the way down."He argued that DeFi’s complexity has discouraged many human users, but that limitation may matter less to machines."None of that matters to an agent," Pal said, noting that agents could automate the process of moving capital and "chasing yield across protocols."Pal described the development as "the entire autonomous stack forming," arguing that much of it could "inevitably happen in DeFi.""We built the financial system agents needed a decade before they showed up," he added.The moment agents become profit incentivised they'll end up running their own treasuries.Think it through. An agent executing across three layer 1s and a few layer 2s ends up holding a bunch of tokens. Suddenly its making asset allocation decisions… which to hold, where the… Read Also: AI Agents Reshape Safety and WorkEarlier, OpenAI added new safeguards after an and access protected resources, highlighting the challenges of monitoring increasingly autonomous systems.Anthropic separately found that , complex tasks, with more than one-third of workers expecting AI to handle most of their work within a year.Despite automation concerns, heavier AI users remained more optimistic about AI’s impact on productivity and careers.Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Read Also: Photo courtesy: YAKOBCHUK V on Shutterstock.com