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Forget doing everything yourself. Robinhood CEO Vlad Tenev envisions teams of AI agents that keep building and testing through the night while their human managers sleep.\u00a0<\/p>\n
On the latest episode of the Sources<\/em> podcast<\/a>, Tenev said that his \u201cNorth Star\u201d is for everyone to have \u201ca team of agents\u201d to be productive while they rest.\u00a0<\/p>\n \u201cSo we should be a 24\/7 company,\u201d he said. \u201cEach person should be a 24\/7 agent manager \u2014 your job becomes managing your agents.\u201d<\/p>\n AI agents are software systems designed to work toward a goal without needing human involvement for every step. They can break down an assignment into smaller tasks and figure out the best way to tackle them.<\/p>\n They also use tools like web browsers to fulfill work tasks. Some can also spot mistakes and assess their progress.\u00a0<\/p>\n Workers use agents for tasks like gathering information from multiple sources and turning it into a research report. They can also use them to book travel, build apps and websites, manage emails and analyze stocks, in addition to other jobs.<\/p>\n Tenev said he envisions a world where AI agents generate \u201ca large portion\u201d of the trading volume for individual investors. Each person ensures that their AI agents have the context to carry out their tasks.\u00a0<\/p>\n Tenev said AI agents have advantages over human traders: They can work around the clock, buy and sell across different asset classes simultaneously and navigate Robinhood\u2019s trading options with ease. They \u201cdon\u2019t have a lot of the limitations that we have as human traders,\u201d he said.\u00a0<\/p>\n Tenev\u2019s vision extends beyond investing. On the podcast, he said using AI to write code had turned him into an engineer again, and he expects the technology to reshape how companies build products.\u00a0<\/p>\n However, keeping AI agents productive overnight requires more than handing them an assignment. They need enough information to understand the job and a way to check their results.\u00a0<\/p>\n \u201cThey have to be able to test their work,\u201d Tenev said. Without that capability, he explained, an agent eventually stops and hands the task back to a person.<\/p>\n That means companies must rethink the systems behind software development, including how they test code and release updates. Tenev envisions a continuous cycle in which agents build, evaluate and refine their work, with less need for people to intervene at each step.<\/p>\n \u201cYou\u2019re going to see an end-to-end automation of product development and infrastructure development,\u201d he said.<\/p>\n Tenev said users can easily automate research with AI. Researchers already have structured experiments and automated evaluations for testing models.\u00a0<\/p>\n \u201cPeople thought that would be the hardest and the last to go because it\u2019s just complex work,\u201d Tenev said.\u00a0<\/p>\n<\/p><\/div>\n Forget doing everything yourself. Robinhood CEO Vlad Tenev envisions teams of AI agents that keep building and testing through the night while their human managers sleep.\u00a0<\/p>\nWhy AI agents need to test their own work<\/h2>\n
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