Citadel founder and CEO Ken Griffin expressed both alarm and optimism about how quickly artificial intelligence has advanced, warning Stanford business students that AI agents are already completing “extraordinarily high-skilled jobs,” not just boosting productivity for routine work. But he also said the technology will open new opportunities for entrepreneurs like never before. “There has been a step-change function in the productivity of the AI toolkit,” he said during remarks at the Stanford business school last week. “To be blunt, work that we would usually do with people with master’s and PhDs in finance over the course of weeks or months [is] being done by AI agents over the course of hours or days.” “These are not mid-tier white-collar jobs. These are extraordinarily high-skilled jobs being automated by agentic AI,” he said. “When you see something that used to be man-years of work being done in days or weeks, it’s like, wow.” “I went home one Friday, actually fairly depressed by this, because you could just see how this was going to have such a dramatic impact on society,” Griffin said. “So big picture: everybody in this room is going to be in a world where certain forms of work are going to all of a sudden be done through AI systems that we had not anticipated in the past.” But he added that the same technology will allow a new generation of entrepreneurs to compete more quickly with large, established companies. “This is a bit of a fantasy land for entrepreneurs. The ability to take on the incumbents will be higher than ever.” “I don’t know where we’re going to be in 20 years with respect to AI. What I do know is that American entrepreneurs are really talented at using new technologies to create new lines of commerce, new businesses, to innovate and grow,” he said. “And I really do believe that it’s a bit of a race between job destruction, which will happen at some clip, and job creation, which will happen hopefully at the same or a faster clip.” He told the students the lesson is not simply to master a body of knowledge, but to remain adaptable. “You think you just finished business school. You think you just finished college. You think you just finished the journey of learning? You have just started,” Griffin said. “Everything that you’ve been taught thus far – what matters is: Have you been taught how to learn?”
KEN GRIFFIN: So, AI. Here we go. I feel like we’re in the The Matrix? And was it the blue pill or the red pill? And I’m not sure which one we’re all about to take as a society, right? Where is AI going to actually lead? I was with Niall Ferguson yesterday, and this was one of those really unsettling conversations. He’s talking about the advancements over the decades of humanity. So, for example, the horse and buggy being replaced by the car, and then you sort of know where this narrative’s going. And he goes, But the issue here with AI is that in the world of AI, humans — we’re the horses. And I was like, Wow, that’s a really depressing way to start the day. So let me just share a few thoughts with you on this. Number one is, in the last few months, there has been a step-change function in the productivity of the AI toolkit. It is profoundly more powerful than it was just nine months ago. For us at Citadel, that has allowed us to unleash a much broader array of use cases for AI, and it has been really interesting to watch. To be blunt, work that we would usually do with people with master’s and PhDs in finance over the course of weeks or months is being done by AI agents over the course of hours or days. So these are not mid-tier white-collar jobs. These are extraordinarily high-skilled jobs being – I’m going to pick a word – automated by agentic AI. And I got to tell you, I went home one Friday actually fairly depressed by this, because you could just see how this was going to have such a dramatic impact on society. And when you witness it in your own four walls, when you see work that used to be man-years of work being done in days or weeks, it’s like, wow. That’s the first time I’ve seen real impact in our four walls. Software engineering, you get a 15 or 20% boost or 25% boost, you just go, Thank God, I can get more software written now. There’s so much software we need to write. Every step change in productivity is just a win. There’s no shortage of code we need to write. But when you’re seeing really high-level research being done by AI engines, it’s quite eye-opening. So big picture: everybody in this room is going to be in a world where certain forms of work are going to all of a sudden be done through AI systems that we had not anticipated in the past. Again, this goes back to the earlier points. Not only do companies need to be more flexible and resilient, but our workforce needs to be more flexible and resilient. In particular, one of the reasons that you came to Stanford was to both learn a body of knowledge, but also to continue to learn how to learn. And that will be forever important over the journey of your career. I tell all of our new hires, You think you just finished business school. You think you just finished college. You think you just finished the journey of learning? You have just started. Everything that you’ve been taught thus far – what matters is: Have you been taught how to learn? Because the success in your career will be defined as to whether or not you will be a lifelong learner, and AI will just make this all the more important. All right. So I don’t know where we’re going to be in 20 years with respect to AI. What I do know is that American entrepreneurs are really talented at using new technologies to create new lines of commerce, new businesses, to innovate and to grow. And I really do believe that it’s a bit of a race between job destruction, which will happen at some clip, and job creation, which will happen hopefully at the same or a faster clip. Of note, competitive moats that large companies have depended upon are going to be filled in with AI tools. So the ability for small companies to take on incumbents will be higher than ever. This is a bit of a fantasy land for entrepreneurs because the ability to take on the incumbents will be higher than ever. Cloud computing was the first part of this narrative. If you go back 10 years ago, for example, in finance, a startup couldn’t take us on in terms of having access to compute. We used to have data centers full of nine figures of hardware. We now use data centers full of billions of dollars of hardware, but a startup can lease the same hardware footprint if it wanted to. So these moats to competition continually get eroded. It’s a really incredible time to be an entrepreneur. A friend of mine had a – this is a great story – pet insurance business, and he turned the keys of the business over to his 25-year-old son to run. The son’s like, You know what? I can use social media. I can find when somebody posts a photo of a puppy on Facebook. I can determine the breed of dog through an AI image-generation scanning mechanism. I can deliver a custom message to that consumer, if it’s a woman, male, age, demographic guess: ‘Congratulations on your new golden retriever. You will love your dog for the rest of its life, and it will love you. Be there for it when it needs you. Buy Spot Pet Insurance.’ They sold the business a few weeks ago for a billion dollars. Just keep that in mind. All right? So the point of this is that there are going to be a tremendous number of new companies started around the world, and hopefully disproportionately in America, where people are going to harness AI in completely different ways to create completely different experiences for American consumers. Here’s a fun one. You and I watch a movie, and it ends differently for the both of us. I like to think in my movie the superheroes win. I hope that happens in yours, but it might be a different ending. There will be a world of incredibly greater personalization in experiences that we have, and it’ll be an entertaining, different, new world. There will be a group of entrepreneurs that really craft and create that world. They will be the Elon Musks of the next generation, the Jeff Bezoses of the next generation. Some of them are in this room today, and it will be incredible to see what you build over the years to come.<\/p><\/blockquote>\nHat tip: <\/p>\n
\nCitadel Founder Ken Griffin at the Stanford Leadership Forum 2026 discussing how AI agents compress elite analytical work from months into hours:<\/p>\n
“It has been interesting to watch…work that we would usually do with people with master’s and PhDs in finance over the course of\u2026 pic.twitter.com\/kutIZh02Qd<\/a><\/p>\n
– The Transcript (@TheTranscript_) May 16, 2026<\/a><\/p><\/blockquote>\n