All right, everybody, welcome back to the number one podcast in the world, the All In podcast with me again.

The Core 4, the original quartet, David Sacks, David Friedberg, Chimoth Polyhopatia, I'm Jason Callicanus,

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 200-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 hot take here, your quick take on this study. Obviously, it's just

one company, but it does track, I think, some of my experiences. 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 more menial tasks to AI, and it made their work more

...