AI Adoption

“The way I describe AI adoption inside most companies is I think there's like sort of three tiers. There's tier number one, which is your token maxers, like your engineers that are pushing a bunch of code and typically living inside coding harnesses. And those …”

“The first symptom is a lot more people should be complaining about the max plan limits and You know, I, you see how, what's the percentage of Twitter that probably complains about it? Like .1%. So, so I think we're probably still early.”

“The alpha for a company that is not an AI company is, is not in them building their own internal tools with AI necessarily. It is in the depth of their adoption.”

“We also see that the AI adoption in the enterprise is still not where we want to see it, right? Like there's this Gartner curve, right? Where say like there's this AI innovation race, and then there's this AI outcome race, right? Then the gap almost increases,…”

“I talked to public company CO's in B to B, my own portfolio, others a lot. Since our agents blew up, everybody thinks we're some sort of, at least for GTM, we're the agent gurus, ok? It's pretty interesting. And everybody says 80% of their team wants to work l…”

“If the optimism about AI is to be justified, you're going to have to see inference costs go way up because that will be an indicator that adoption has gone up in a fairly significant way, both among individual users, but also among companies and enterprise use…”

“Ramps AI index shows AI adoption held flat at 45% of businesses in November, driven by slight declines in Finance and technology sectors.”

“The companies that are pushing AI hard comes a lot from services organizations. These are very large services organizations, consulting services organizations. I think I can understand why, because it's This is like a margin business. You are selling human lab…”

“In the enterprise, it's going to take a while, because we always say technology is evolutionary, not revolutionary, because our customers are buying this stuff for cost.”

“If we say, like, you know, we've got this big agenda to get AI, then people are gonna build these five, 10, 15 year plans, and quite frankly, nothing will ever happen. Like, we need, like, micro-level projects at each agency with basic use cases to say, how do…”

“Across the SaaS world companies are either adapting Adopting AI and adapting to AI or they're starting to see this sort of value fade, and the value fade comes in, if they're going to raise the next round, the investors who are coming in are going to want to k…”

“We're way out there on the risk curve, every one of us right now, right? And the only thing between us and Armageddon is AI adoption. If AI adoption keeps happening, this whole wagon train keeps on rolling, and we're all going to be fine, and we're going to ge…”

“But I would say that less than 10% of companies we see are taking this hard stance, but I would say they are probably the ones that are farthest along getting the most adoption and are seeing the most results of the ones that are taking those hard stances.”

“In Europe, we see about half the adoption rate. So for the same amount of revenue generated, European businesses are half as likely to make a purchase and to adopt.”

“I've been very impressed with the pace of AI innovation, but in terms of AI adoption is actually been very slow. And the average enterprise company is still waiting and seeing what happens.”

“I think a mistake a lot of people make when they start thinking about how to drive adoption is they're like, oh, we have to show people how to do their work with these tools. But I'm like, well, work is hard and If you are on a deadline for something, you've g…”

“I think people like really, really like don't think deeply about how hard it is to get people to adopt this. I know the idea is to like decrease head count, but like no one understands this stuff. No one knows how to implement. No one knows how to think about …”

“I think that humans are the biggest blocker to adoption, and they're gonna need a lot of hand-holding and help.”

“Frankly, it's the large studios that are going to be at the forefront of determining what they do.”

“So, so I do think that evaluation is the biggest bottleneck for AI adoptions, because unless, like, if we can, like, if we can, like, develop a more reliable way to evaluate the application, that application is not going to get adopted. Like, or maybe, maybe i…”

“She says there's a first mover advantage in adoption. And I truly believe that. It's not a winner-take-all business. These things are first-member advantages, because this rate is so fast, so the more you wait, the further behind you are”

“It's also at the experimental stage in my many other functions and for Core applications in the industry in, I guess, telecom the telecom industry and in healthcare, this is still In the playground, but I think it's going to evolve in the next year.”

“I'm gonna make the case that the biggest barrier to adoption is an infrastructure and tooling problem, not necessarily an algorithmic problem.”