Short answer: Eldar Sadikov says incumbents launch AI tools so enterprise customers have no reason to leave, much like early AWS moving up from startups while IBM held enterprise. He adds that quality AI software takes many iterations.
Watch this answer from Episode 33 (starts at 24:54) · Episode 33 notes and transcript
From Episode 33: AI Is Transforming Construction — We’re Entering a Golden Era, starting at 24:54.
Eldar Sadikov [24:54]: Well, I would maybe add to this that the it's interesting because I feel like it's also retention play. Like, this companies, the big incumbents are launching AI tools so that the, this existing big enterprise customers don't have reason to leave them because they would say, oh, you don't have AI tools to new players that are trying to innovate and build out new AI powered CRM or new AI powered ERP or whatever that might be. And but I think it's kind of reminds me a little bit of the early days of AWS if you think about it because, when AWS came up, you know, all the big guys did not use cloud computing, and they used IBM or something like that. And, you know but AWS started from the low end of the market. They said, oh, we're gonna serve startups, and they serve them well, and they moved up the market. And then the incumbents like IBM tried to hold on as long as possible to that enterprise segment, and they still hold, some of that segment. But it's sort of a very interesting development, very much in line with what was happening to cloud computing a few years back.
Jordan Metzner [26:01]: Yeah. And even as you mentioned, kind of cloud is cloud computing is now having its moment as well as these data centers are getting built, and, you see people buying hardware to run their own OpenClaw or whatnot. Right? So, kind of what's old is new and what's new is old, and, we're starting to see the cycles, over and over again.
Eldar Sadikov [26:18]: Oh, I just wanted to mention that the one thing I wanted to say about the SAP news also that as a company that's building AI, it's also a testament to the fact that AI tools actually are not easy to build. They actually take a lot of iterations, and the reason why it sometimes they you know, these tools get some of this publicity is because when if you release them too early when they're not polished or they're not fully designed to address the use case that you have, that you know, it's just premature because the tool is not built, and it actually takes many, many iterations to get AI tools right to address the specific business cases. So I think that is is a testament to how difficult it is still to build, quality AI software.
Sam Nadler [27:01]: Eldar, thank you so much for joining. Where can people find you? Where can people find Field Materials?
Eldar Sadikov [27:07]: I would say the best way is to go to Field Materials dot com, fieldmaterials.ai. Both URLs work. And if you want to know more about, like, my opinion on some of the things, you can also follow me on LinkedIn. I you know, you can find me on LinkedIn just based on my name and last name. And, yeah, I'm very excited to be a part of this podcast today.
Sam Nadler [27:28]: Awesome. Thank you so much. Great episode. And again, reminder, if you haven't already, please like and subscribe. Episode's out every Friday. Thank you, Jordan. It was a pleasure.
Jordan Metzner [27:37]: Thanks, guys. See you soon. Bye.
