AI finds exceptional engineers who deliver 10x to 1,000x more output than average workers. The speaker consulted an AI assistant named Hermes to measure his own productivity gains and argues for paying elite talent premium rates and keeping them on standby for future growth, even if it exceeds budget.
You're not even a 100x engineer. You could be a 1,000x engineer in this case. And when I look at the way I'm working now, just on the right side of my screen, I can't help myself, right? And I even asked my Hermes, I'm like, how much faster am I, right? And so I do think it's smart. Like even when I talk to our recruiter right now for people that are looking for, let's say, a lot of money that we have maybe very over budget for what we budgeted for that role, I'm like, hey, if they're really good, I still want to have them on the bench because as we continue to scale with these things, we're going to need amazing people. And if these people can do 10x or 100x of the job, we want to pay these people. And that's what I think— this kind of goes back to what you were saying earlier, where it's like, are you trying to fire people because of AI? No, not necessarily. It's more so we want to find all the people, most, like as many as we can, that can be 10x or 100x or so. That's what really it comes down to. It's not really like an AI or not AI thing.
