AI software suffers 20% to 40% monthly churn rates by underdelivering.
“And this is one reason we see AI software with these outrageous churn rates of 20 to 40% per month, because the promise is there, and then you dip your toe in, and it doesn't actually work.”
Patil: Enterprise software lifespans have shrunk from 20 years to one year
“Like maybe you'd have built software that was supposed to last like 20 years. Now it's supposed to last maybe one year, but it is the bridge to deliver value and kind of enable the research that then gets you to the next thing.”
Agarwal: Enterprise software budgets have stalled entirely outside of AI initiatives
“Like if you're going and asking for a 100,000 budget or a 500,000 budget, except AI, there is no spend happening in any other software category.”
Vollset: Betting against SaaS assumes software leaders cannot deploy AI
“Like, it's a new software capability, and so applying that to, like, public soft stock is, like, basically the bet, if you're betting against SaaS, you know, or certainly, like, established public SaaS, if you're betting against that, what you're basically arg…”
Lemkin: Traditional B2B software is now terrible compared to AI
“Almost all the B to B software we use today is terrible now because AI software is so good.”
Amjad Masad: Most software built on Replit is AI software
“I think most of it is AI software, which is why we built this recent thing.”
Rampell: Software replacing labor is a larger market than traditional software
“Category two is arguably the biggest, which is basically, it's not competing with the software market at all. Software is starting to eat labor. You're basically selling software that does the job of what people would do before. This is arguably a much, much b…”
Lemkin: AI Must Replace Humans to Secure Enterprise Budgets
“AI is about more than being productive. Ultimately it's about replacing or augmenting humans and delivering relatively rapid and massive ROI, much more than traditional workflow and database software.”
Lemkin: Over 50% of prospects are actively buying in AI software categories
“In many categories, we're north of 50% in market.”
Haber: AI software expands TAM by targeting labor budgets instead of IT
“You know, that is a really interesting opportunity for the moment, you know, in large part because it's unlocking markets that were never particularly interesting to software into because IT budgets were small and now, you know, the TAM is largely labor.”
Rampell: AI software will make human workers ten times more productive
“Largely what it means is that people are going to be like 10 times more productive where I can't hire anybody to do this job, but I can hire AI to do it.”
Ghosh: AI Software Requires Palantir-Style Forward-Deployed Engineers
“Many of these new AI enabled businesses that you're building, whether it's pure software, whether it's services, Has a Palantir-esque, ah, ah, flavor to it. That, that in delivering this service and in delivering this software, ah, AI enabled software, you wil…”
Patel: AI products suffer higher churn without direct financial ROI
“If you can't help people save money, Why should they pay you? If you can't help them make money, why should they pay you? Because what we see is, if you can't help with those two things, you can still get signups, but your churn tends to be higher.”
Set-and-Forget AI Deployments Teach Operators Absolutely Nothing
“Don't just set and forget and buy. You will learn nothing. You will learn absolutely nothing. Be part of a deployment to see how it really works. Otherwise you'll never really learn.”
Cheap AI Tools Shift Massive Training Burdens Onto Software Buyers
“Be wary of super cheap apps. Be wary of super cheap. It's not that we're not getting there. It's not that everything isn't going to get better, but it's, you can't cut the corner on training. So if instead of 50 grand a year, you're buying a solution that's 50…”
McNairn: Identify AI market niches by studying pre-AI software categories
“One way to help work out what that clustering could be is to look at what products, what clustering there was pre AI. So in our space, there used to be a big split in technologies between in-house and law firms, right? So that was two years ago. You had the CL…”
Mukherjee: Enterprise workers expect AI to perform any human work at scale
“When they come into the workforce, they actually want the software to do as much work as humanly possible. Specific word is humanly. The software should do anything that a human can at scale.”
Isenberg: Media audience and proprietary data must precede AI software monetization
“Your first step is how do I get your, the attention? Next step is how do I get your data? And then the third step is, okay, how can I build assistance co-pilots? AI software to actually monetize and build a sustainable business.”
Tunguz: High toil and labor shortages make buyers accept 75-80% AI accuracy
“We look for three things when we invest in software companies. We look for toil, lots of repetitive, really boring work. The second thing we look for is a labor market that cannot supply enough people to do that work. There aren't enough graduates or people wh…”
Parr: AI software will track screens and speech to give direct feedback
“Well, the next step of that is here's what's going to happen. There's going to be software. It probably exists. And I'm tinkering with a few of them that records your computer screen, your phone screen, the words that you say out loud, the things you type. And…”
Hays: AI software flood will cause more teams to build quietly and prioritize design
“There's going to be a lot of really, really Poor, like software products that technically do the job, but don't do it very well and are not very user friendly. And I actually think there will be more teams that sort of build quietly, really have a lot of confi…”
Seema Amble: Enterprise Teams May Trust Audited AI Over Humans
“And I think we're getting to that point where people are realizing, wait a second, if I can review and audit all the actions before they go out and it's faster and I can get results, like maybe I can trust them more than the humans.”
Taylor: Companies must manage AI mistakes operationally rather than eliminating them
“Stop putting, you know, AI software in the bucket of computers and that rule set and how you deal with it to try to get to, you know, five nines of repeatability and say, okay, this is actually gonna be, A really creative, really impactful, much lower cost sol…”
Patel: AI software will have lower human R&D costs but higher COGS than SaaS
“An AI software looks like it's going to be very different in my opinion, right? Like the R&D cost is much lower in terms of people but the cost of goods sold in terms of actually operating the service, I think will be much higher, right?”
Sacks: Union bans on AI in screenwriting will fail
“AI is going to be incorporated into all software. So to not be able to use the latest features of whatever, Word or Google Docs or whatever screenwriting software. That's like the king who ordered the tides to stop. You know, this is just a march of technology…”
Ocko: AI adjudication surrenders human judgment to opaque black boxes
“Likewise, as AI software begins to sort of perform idiot savant roles inside courts and legal systems and insurance companies in mainstream companies to adjudicate whether someone is employable, you have surrendered what used to be human decisions to a black b…”