enterprise

“I think in the end, X.ai as a company will drive most of its revenue From the enterprise.”

“And I think it's going to be equally silly to go, as an enterprise, say, I want to engineer ERP. A meeting scheduling agent like Amy, an invoicing agent like Tommy, a some agent like this. I think they'll have to go into the market and figure out which of thes…”

“The applications for that is effectively disrupting every facet of the enterprise from IT to, you know, the departments from sales technologies, marketing tech, cybersecurity every single facet all of a sudden is ripe for disruption because of AI powered techn…”

“On the enterprise side where you can do customer introductions, maybe add value to the top line revenue side. I'd say even on the consumer side, there's a lot one can do, but it's probably much more explicit or sort of much more, you know, you can realize it s…”

“Going into the enterprise is a commitment for the entire company that starts with the CEO and that needs to take the entire, not just the go-to-market teams and sales teams, but the entire like marketing and engineering and product and the entire culture of th…”

“Enterprise takes multiple years to build. So even if you start today, it's not going to be until, you know, maybe three years, four years from now that you really figured out how to be a PLG plus enterprise company.”

“But if you're trying to sell into an enterprise, I am Pro-PLG in the enterprise, but you've got to have some sales folks to back it up as well because they always have needs that cannot be automated away.”

“I think enterprises are inherently ignorant and lazier than we give them credit for. And they like simple solutions, especially in Europe.”

“We saw this kind of great excitement in the world, but at the same time, a lot of disappointment about it not being quite ready yet for real world adaption in, in enterprises where you actually want to use this technology.”

“I think the thinnest or the shallowest analysis that enterprises are doing is that active to usage, or sorry, active to paid ratio calculations.”

“And there's also just a you know, we're still in the education phase where I think every enterprise is, is getting savvy as we speak or trying to get savvy as we speak in terms of what is, you know, what is an LLM? You know, what are these basic primitives, ri…”

“I would say that that is the world that we're headed towards, at least in the enterprise, like forget the creative side of things, but at least in the world where you need correct answers, you need to be able to attribute where things came from.”

“To be honest, I think there's two main things that somebody who is an enterprise cares about. Number one, I want to buy something and not get fired because of this. I want to keep my lovely, beautiful job that is nine to five and I don't need to do much more a…”

“When you're hiring leaders, like it's incredibly hard to hire leaders who understand both the nuances of both these businesses.”

“I think adoption in the enterprise, all on that will be slow.”

“I think they're still lacking some products around like managing correctly load balancing customizing the models because you can do it with DIY solutions, but if you want to make it robust enough and scalable enough, it's actually not easy. And if you want to …”

“And so the enterprise, there were really, in early 2017, this might be surprising to some people, is there really weren't any production applications in the cloud for the enterprise.”

“Majority of Enterprises, especially in Europe, do not know what Slack is, let alone what Notion is. So the fact that they're going to create their own verticalized AI tools is absolutely fucking moronic.”

“I will say that at the start of 24, we started to see solid numbers inside of budgets for people to deploy AI systems, agentic systems to help their employees to drive business transformation. It wasn't just coming out of a slush fund or you know kind of a one…”

“We realized eventually the killer app for large language models and complex answers is an enterprise.”

“The data says consumer tends to be more winner-take-all and enterprises tend to be more oligopolies, right?”

“A hundred percent of the early adopters are in market. And that's why I think it's early because 90% of sales, the enterprise is not even there.”

“Probably of our total amount, it's like over 50% is, is, is actually enterprise.”

“Enterprises make these long-term deals, and they stick with whatever their deal they made a year ago.”

“I think it's a permanent requirement.”

“I think like three to five years until we see like massive, massive productivity gains in enterprise.”

“Voice is the wedge into the enterprise. Voice agents are so powerful.”

“So in enterprise, you're going to see this dramatic squeeze and compression.”

“One of the largest things that people underestimate both in the context of AI labs as well as within the enterprise is how significant of a job category it is going to be to train agents.”

“If you take any company in the world today and you will see, we'll look at the AI adoption there, you will actually see that they start using AI. In a first percents of the volume in the first percents of the use cases. So if you take any large company, even p…”

“We believe long-term better positioning for going to enterprises where we believe eventually a lot of demand will come from. Again, now most of our segment is working. It's AI natives working with AI natives, but we have a huge economics, a huge market of ente…”

“Phase three is the hangover, where you go and look at the bill, and it's like, oh my god, we are spending so much. I have no idea what the ROI is. Does this, like, is this helping our business? That's where a lot of these companies are at now”

“A lot of enterprises will realize so many of the tasks that we're doing, we don't need the very frontier to do it. Like, and we can do it much faster, much cheaper with these open models.”

“I think as we think things evolve the next 12 to 24 months, people will switch from one set of products to another because something will emerge as a better product.”

“It's not only true that they're terrified of working with the frontier labs, but they're also terrified of working with the Chinese open source.”

“I think the enterprise's ability to absorb this or digest this or perhaps leverage this to their advantage depends on their ability to create training data as fast as they can. And I think not enough people are focused on training data.”

“I think a lot of enterprises are going to move that direction, make their own models, make their own branded intelligence. Your brand is a big part of your moat, and that model will, like, be a way your brand carries around.”

“However, I do think for that, most of the enterprises are going to have a second look at the idea of sort of seeding their software development lifecycle to a provider who is one, likely to be model locked, and two has an existing sort of history or pattern of…”

“Businesses that will say, well, you know, we do a lot of commodity tasks, but there's a couple of very high volume specialized tasks. That only we do. And for those, your commodity model won't be good enough. Your frontier model will be too expensive. And so t…”

“I don't, because I think it, especially in the enterprise, they want provisions and protections that potentially open weight models, especially those that come out of China, cannot provide. Around indemnification, for example, and output inference, and it's go…”