Invest with AI
01:04:33 · Brett Caughran, Thomas Li
[01:04:33] S1: Yeah. Yeah. Great. Well, thank you so much for being with us, Thomas. Any last thoughts or anything you're wrangling with right now? [01:04:45] S0: I mean, funny thing is, this is a conversation we've had recently, the single biggest challenge for us and a lot of peers is hiring, and specifically is in hiring engineers. And if you think about it, it's ironic because a year ago, there was SaaSpocalypse, and everyone was like engineers are going be out of a job like ClockCode is able to code now. And now we're sitting here saying, well, yes, coding is a solved problem. But aligning what you're coding with the company's direction is not, right? Communicating to make sure that your evals represent your customers' problems, like that's not solved agentically. So while we agentically solve the coding problem, we did not solve the engineering problem. Right? So the engineering problem now became bigger because we can write more code, and every single tech company is desperately trying to hire more engineers, which I think is very ironic, but totally logical of like how we ended And up I wonder if that's going to be the same thing in finance.
01:05:52 · Brett Caughran, Thomas Li
[01:05:52] S1: Yeah, at least for the moment, Jevan's paradox holds. It's probably about a year ago that Dario made his prediction that in one to five years, entry level white collar work would be down 50%. Thankfully looking absurd as a prediction. I think that's true in finance, too. I mean, all the firms we talk to, the people are busier than ever. You're maintaining your portfolios and research in incredibly volatile markets while trying to sort of shift your process agentically. No one's even close to the finish line of that. I think it's still just starting. Yeah, at least for eighteen to thirty six months, I don't see any. I've not talked to one investment team who was like, Wow, this is so great that we're just going to cut 30% of our headcount because it's like, we have analysts sitting around with nothing to do. It's like the exact opposite. [01:06:44] S0: That's right. Yeah. I mean, if you have analysts sitting around with nothing to do, you are more likely to have an HR and analyst problem than you have like a business problem. [01:06:54] S1: Yeah. You know? [01:06:56] S0: Yeah. [01:06:57] S1: Awesome. Great. Well, yeah, excited to to get my hands on that Excel thing when it when it comes out as well, too. And thanks so much for being with us for being with us, Thomas. This was a great great great discussion. [01:07:11] S0: Thank you for bringing me on.