enterprise
also referred to as: enterprises
24 statements across 21 episodes · 9 bullish · 6 bearish · 20 people on the record · first statement Jan 2, 2019 by Chris Dixon · across every show →
Everything said about enterprise, oldest first
Jan 2, 2019 bullish
Dixon: Enterprise applications will lead consumer adoption in wearable tech
“I think there's a reasonable chance that you'll see the corporate use cases leading Like, unlike what we've seen over the last 15 years in technology, which is the consumer has led the enterprise. You know, the stuff you have at home on your iPhone and Gmail i…”
Jan 2, 2019 negative
Jan 2, 2019
Lawson: Developer marketing pairs consumer acquisition funnels with enterprise spending power
“I often say the developer market is like, you're doing customer acquisition like a consumer business. Like a massive funnel. Right, lots of developers coming, kicking the tires, like a consumer business, but unlike any other consumer business, they have the ab…”
Jan 2, 2019
Jan 2, 2019 neutral
Jan 2, 2019 bullish
Apr 13, 2019 positive
Sep 25, 2023 negative
Horowitz: a16z sees zero generative AI traction in large enterprises
“Every company that has traction is in a category like selling to developers, or selling to consumers, or maybe selling to, like, small kinds of, you know, law firms or these. Kinds of things, but we haven't seen anybody with any traction in the enterprise.”
Sep 24, 2024 negative
Sep 24, 2024 bullish
Dec 25, 2024 bullish
Kirwin: Interactive 3D and Gaming Will Define Enterprise Tech in the 2020s
“The nineties was about text on the internet. The 2000 was about images. The 20 tens was about video, and we feel pretty strongly that the 20 twenties is going to be about interactive three D and gaming technology being used in the enterprise.”
Feb 28, 2025 bearish
May 23, 2025 neutral
Clark: Enterprises avoid high-value AI use cases due to unwieldy risk
“We see some firms attacking the low hanging fruit internal chatbots to like ask questions about HR because they're afraid to take that leap to develop the difficult problem because it's so unwieldy and there is so much risk associated with it. A lot of the mos…”
Jun 6, 2025 bullish
Jun 10, 2025
Bhardwaj: Enterprise AI adoption hinges on data security and auditability
“Two key things that they care about is, how do you guarantee that my data is safe and secure? So that's number one. And second is, how do you give me auditability and predictability? That's the two more, like if you boil down to all their questions, they event…”
Jun 10, 2025 negative
Bhardwaj: Enterprises reject black-box AI decisions without clear step-by-step explainability
“Nobody wants, like, AI making a decision, even if it is correct, if they cannot Explain here are the set of steps that it took, because if something wrong happened, they have to explain, because in human world you can explain.”
Jul 14, 2025 bullish
Aug 26, 2025
Aug 26, 2025 positive
Scharfstein: Enterprise AI shift demands forward-deployed engineering for custom software
“And what we're seeing now with this platform shift is enterprises still need all of that customization. They need all of the feature set, but it doesn't exist in the software and doesn't exist anywhere. And so that's the value of this forward deployed motion i…”
Dec 1, 2025 bearish
Jul 29, 2026 neutral
Aug 12, 2026 neutral
Schmidt: Board-level urgency driving enterprise AI adoption mandates will inevitably end
“There are AI Boards at every enterprise right now saying like, here's what we need to buy and we need to do it by X period of time. And that surely will go away, but there is this moment of like crazy, you know, kinetic energy inside of big companies.”
Aug 26, 2026 bullish
Acharya: Enterprises should always pay for frontier models in unbounded jobs
“We really think that the kind of rational architecture and the one that is emerging is that for jobs that have unlimited upside, like sales or product, you always want to use frontier tokens. And the reason for that is you just don't know what the value of the…”
Aug 27, 2026 neutral
Casado: Large AI labs subsidize consumer tiers while extracting enterprise margins
“So very classically, if you view your competitive set, say the large labs will basically subsidize or give away the single surf tier. But then they actually have, they command great margins in third party and they command great margins in the enterprise.”