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All right, everybody. Welcome back to the number one podcast in the world, the All-In Podcast, with me again, the core four, the original quartet: David Sacks, David Friedberg, Chamath Palihapitiya. I'm Jason Calacanis, and we have a very full docket today. All right, topic one, gentlemen, AI acceleration. It was a big week for AI. New study published on Monday, February 9th, in the HBR, Harvard Business Review, suggesting that AI tools intensify work but do not reduce it. Two UC Berkeley researchers spent eight months embedded at a two hundred-person tech company, so this is one company's experience. What they found: employees who use AI worked at a faster pace, took a broader scope of tasks, and extended work into more hours of the day. Workers reported feeling more productive, but they also felt a little more stress and burnout. Sacks, your, your hot take here, your quick take on this study. Obviously, it's just, uh, one company, but it does track, I think, some of my experiences. What do you think?

All right, well, a few points here. Number one, as you may recall on the predictions show for this year, my most contrarian belief is that AI would increase demand for knowledge workers, not put them out of business. And I think you see in this UC Berkeley study the reason why that might be the case is because the employees who use these tools, like you said, they worked faster, they took on a broader scope of tasks. They actually ended up working more hours in the day, so they did more work, not less, and even more effort rather than less. Not because they were required to, but just because they were more motivated. And I think they were more motivated because their work was getting up-leveled, right? They're kind of able to offload, uh, more menial tasks to AI, and it made their work more purposeful and meaningful. So I think we're kind of moving from what some people, I think maybe Jensen, has called, um, task-based jobs to purpose-based jobs. And I think a key skill of employees is gonna be the ability to structure work for themselves and their AI agents, and the employees who can do that are gonna be far more productive than those who can't. That kind of brings me to point number two, which is that I think there's a tremendous opportunity this year for employees who are early adopters of these tools or, you know, so-called AI natives, to demonstrate their value to their employers. They're gonna be able to get a lot more done. They're gonna appear to have superpowers. They're gonna be the people in meetings who can take an assignment that would have taken days before and get it done in two hours, whether it's a presentation or a spreadsheet. People are gonna be shocked at how quickly they can get these things done because they're gonna be facile at working with AI. So I think there's a big opportunity there, and there was an article that went viral this week by Matt Shumer called Something Big is Happening, where he talked about this career opportunity that's gonna be available to kind of AI early adopters. And I think that brings me to my third point, which is I think that you're gonna see massive enterprise adoption of AI, not just chatbots, but agents this year. But I think it's gonna be driven by the bottom up. It's gonna be driven by these early adopter employees coming in to their workplaces, bringing in these kind of consumerized AI tools, start using them at work, as opposed to top-down initiatives. I think there's a lot of top-down company transformation initiatives that are happening in large enterprises, where the CEO has tasked a team with figuring out how to use AI, how to transform their business with AI. Those initiatives are gonna take months. They're gonna be studying what tools they should use. They're gonna be doing RFPs, and I think it's ultimately gonna be very slow. And while those things are trudging along, I think there's gonna be these early adopter employees who just make the transformation a fait accompli by, again, bringing these tools into the workplace from the bottom up. So I think in the same way that you saw consumerized SaaS tools spread from the bottom up in enterprises, I think you're gonna see consumerized AI tools spread from the bottom up in enterprises, and I think it'll ultimately be one of the big themes this year.