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25 quotes from 14 people, newest first.

25 of 25 quotes, newest first

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That’s a fair question at the dawn of the AI age when an app might take about as much time to build as editing a Youtube video. So this means average product retention will collapse, and the days of seeing >20% D30 will feel like a dream.Andrew ChenSep 8, 2026· Post
The future of marketing (and by extension, a large swath of product) is zero-sum and PvP - the abundance of apps/videos/pods/creators/experiences will mean we have infinity times more supply than demand.Andrew ChenSep 8, 2026· Post
The obvious AI variant is to let your users opt in to training your model on their interactions with it. Many will resist that, but if some don't, the model they get to use will outperform the vanilla one used by the others.Paul GrahamSeptember 2026· Essay
You own the customer relationship, and the model companies are in effect component suppliers. The question is how easy it would be for them to engulf you, or even your customers.Paul GrahamSeptember 2026· Essay
Founders running successful AI companies should all take a cold hard look at exiting in the next 12-18 months, which may be a value maximizing moment for outcomes.Elad GilApr 20, 2026· Post
The sum of random vectors is zero, but if you align your vectors, then you can go in a direction.Greg BrockmanApr 7, 2026· Interview
But if you sell the work, every improvement in the model makes your service faster, cheaper, and harder to compete with.Julien BekMar 5, 2026· Essay
The next $1T company will be a software company masquerading as a services firm.Julien BekMar 5, 2026· Essay
The speed of advancement in AI demands a different approach to how we build, how we organize, and where we focus. Labs gives us room to break the mold and explore...Daniela AmodeiJan 13, 2026· Statement
In 2026, we’re going to see the emergence of a $0 to $1B club.David CahnDec 3, 2025· Essay
AI projects, on the other hand, are taking far more capital, by far smaller teams, and turning that into historic growth rates for both new users and revenue.Martin CasadoNov 19, 2025· Essay
In the future, it is unlikely that many new core LLM companies will get started due to capital moats, barring some new breakthrough that somehow doesn’t spread quickly.Elad GilJul 22, 2025· Post
In recent years, innovative AI products that didn’t build their own models were derided as low-tech “GPT wrappers.” Yet consumer products for the past few decades have been low-tech, with seemingly small moats and yet have generated huge value.Andrew ChenFeb 4, 2025· Post
The big difference is that instead of taking two decades to sort this all out, as it took between the dotcom and Web 2.0 cycles, we’re speedrunning the whole thing in just a few years.Andrew ChenFeb 4, 2025· Post
It was either going to be a startup or someone outside the current center of leadership and innovation in AI, which is mostly clustered around trillion-dollar companies in the US.Steven SinofskyJan 27, 2025· Essay
One undeniable trend over the past, let's call it five years, has been the collapse of the Chinese startup sector.Alexandr WangDec 12, 2024· Interview
Regulatory agencies are being green lit in real time to do the same to Artificial Intelligence.Marc AndreessenJul 5, 2024· Essay
But at the end, products need to be having some magic to them and the magic comes from letting you be more lazy.Aravind SrinivasJun 19, 2024· Interview
In fact, I feel the primary difference of Perplexity from other startups that have explicitly laid out that they’re taking on Google is that we never even tried to play Google at their own game.Aravind SrinivasJun 19, 2024· Interview
We would rather take a more dramatic position, that the best way to actually make a dent in the search space is to not try to do what Google does, but try to do something they don’t want to do.Aravind SrinivasJun 19, 2024· Interview
Because one of the things you can definitely guarantee is where there are no customers, there are also no competitors.Jensen HuangJun 14, 2024· Keynote
The reason why I wouldn’t do it, and it goes back to why it’s so hard, is building a company and building Nvidia turned out to have been a million times harder than I expected it to be, any of us expected it to be.Jensen HuangOct 15, 2023· Interview
We spent about a decade in zero billion dollar markets, and today I spent a lot of time on omniverse. Omniverse is a classic example of a zero billion dollar business.Jensen HuangOct 15, 2023· Interview
Nonetheless, these early signs of success don’t change the reality that a lot of AI companies simply do not have product-market fit or a sustainable competitive advantage, and that the overall ebullience of the AI ecosystem is unsustainable.Pat GradySep 20, 2023· Essay
Rather, workflows and user networks seem to be creating more durable sources of competitive advantage.Pat GradySep 20, 2023· Essay

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