Noam Segal: evaluation

Transcript context

…Yeah, just remember when you shared the first draft of the analysis, I was just reading it. I was like, "Holy shit, this is so interesting." And it just feels like it's putting words to the way I feel, the way that I hear a lot of people feel. So I'm really excited that we're doing this. This episode is brought to you by our seasons presenting sponsor, WorkOS. What do OpenAI, Anthropic, Cursor, Vercel, Replit, Sierra, Clay, and hundreds of other winning companies all have in common? They are all powered by WorkOS. If you're building a product for the enterprise, you felt the pain of integrating single sign-on, skim, RBAC, audit logs, and other features required by large companies. WorkOS turns those deal blockers into drop-in APIs with a modern developer platform built specifically for B2B SaaS. Literally every startup that I'm an investor in, that starts to expand upmarket, ends up working with WorkOS, and that's because they are the best. Whether you are a seed stage startup trying to land your first enterprise customer or a unicorn expanding globally, WorkOS is the fastest path to becoming enterprise ready and unblocking growth. It's essentially Stripe for enterprise features. Visit workos.com to get started, or just hit up their Slack where they have actual engineers waiting to answer your questions. WorkOS allows you to build faster with delightful APIs, comprehensive docs, and a smooth developer experience. Go to workos.com to make your app enterprise ready today. We're going to go through the top 10 takeaways. What's the big picture takeaway from the report overall, if someone could take one big takeaway away? Well, first I'll say that you and I both noticed an incredible post from Elena Werner a couple of days before this pod was recorded. And, she's talking about the AI confidence theater, and how in conversations these days in tech, everything is dead, first of all. Engine coding is dead, design is dead, SaaS is dead, et cetera. Obviously that's not true. So what you're about to see in these results is the best picture we could provide, and probably the best picture anyone's provided so far, of how people are really feeling about AI. And to me, this also ties to the fact that, if you're watching this and you work in tech, you probably answer some sort of biannual culture Amp style survey about how you are feeling, but the questions don't really dive any deeper than the effectiveness of your manager or leadership at the company you work at. Whereas, the big picture in this survey, and I think the thing that stood out to us the most, is how bifurcated the workforce is right now. And what you're going to see is that AI has an outlier level, outsize impact, on how people feel about their work more so than any other characteristic of their job, whether it's their role, the company they work for, the company size, their level, et cetera. Half of the people in tech are feeling incredible; energized, amplified, excited about the technology and the future of their role. And the other half feel like the future is unclear, they feel destabilized, they feel diminished, other negative emotions around that. It's a very interesting picture that really cuts the tech workforce in half, and that's what we'll see in a second. It feels so like, yes, this feels correct as we look at people in tech. It just is so clear that this happening. And what's interesting is it's fifty fifty in the results. I didn't expect to be so even. That was a really interesting takeaway.…

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