John Collison

John Collison says any web form is fake work. The person filling it in is almost never inventing the information for the first time. A family medical history is the case he uses: the same facts, typed out again, feel like a waste. He would be happy never to do that kind of work at a computer again. Sam Altman agrees.

Companies still treat their HTML and their mobile apps as what defends the business. The defense is either wrong or temporary, because it did not come from assembling a page. The iPhone App Store was the last clear version of that fight. Startups in a YC batch rushed to build an iPhone app for the new distribution. Big companies hesitated, unwilling to hand the customer relatio

Sam Altman says personal agents have not had a Macintosh moment. People like the current ones, including Dots, but they do not say they cannot imagine life without them, which is how people talk about coding agents. The category is a small number of ideas away from being mainstream.

The winning agent will look a lot like the ones shipping now, including Dots and Muse, and it will just work. It will be reliable. Hand it more complex tasks and it will do them. John Collison calls personal agents one of the most exciting things happening in AI. He puts the winning version down to intelligence, context, and tools, and he expects someone to find that shape soon.

Sam Altman says a robotics program is being pointed at making lots of data centers, and self-replicating data centers are within grasp. AI would control the robots, run fabs, build turbines or solar panels, and build the data centers, so compute gets cheap. Most talk about RSI means an AI that does AI research. There is much less talk about data centers that build more of themselves. A chip built for this is described as incredible performance, in units of intelligence per watt, and the same push is learning how to build its own data centers.

John Collison asks whether data centers are already past a labor bottleneck and are stuck on permitting and components. More components for the robots

Sam Altman says the models have been getting good at finding vulnerabilities in the wild, and they keep getting better quickly. People had not pointed them at all the code on the internet. Once that search starts, he expects many more serious vulnerabilities than even the people who already expected a lot.

John Collison says patching the software is not enough. The architecture has to change, which is harder and much more durable. The change would look very hard, except the models are the tool for doing it. A new generation of startups is already talking about a new kind of internet and a new application architecture that assumes the models keep getting smarter.

John Collison's biggest lesson from seventeen years building Stripe is that there are no shortcuts. Stripe never had a South by Southwest breakout moment. Every year was a bigger year than the prior year, and after enough years Stripe reached one point nine trillion dollars.

John Collison says Stripe is more likely to build something that sits in the core of Stripe. A brand new muscle, like token routing, would take much longer to learn inside the company. A fast moving market can make an internal build a little bit out of date, because the market is totally different today than it was twelve months ago.

Stripe's goal is to increase the GDP of the internet, and a lot of the growth now comes from artificial intelligence, but John Collison will not say the exact fraction. It is hard to measure. Meta runs on Stripe and grew up before artificial intelligence, yet it is increasingly becoming an artificial intelligence company.

John Collison says Bridge and Privy were in crypto. The teams are crypto native in a way that would have been hard to grow quickly inside Stripe, and they have injected crypto nativity into Stripe culture.

Stripe spent the years up to now making the developer experience easy, including minute details of the documentation and how upgrades work. Relatively overnight, no one integrates the Stripe API by hand anymore. People send a coding agent to do it, and developer ergonomics are a different skill from what the agents need.

Stripe started referring to January 1st 2026 as day one of the singularity because the end of last year brought a holy crap moment for coding models and recursive self improvement where artificial intelligence capabilities help with the rate of improvement in artificial intelligence.

New models have really advanced cyber capabilities, and the adversary landscape is getting better quite quickly. Stripe has been very paranoid on cyber for many years. Over the next five years there will be more breaches than over the past five years.

John Collison says agentic commerce is a complete rewiring of how businesses sell. People's agents will do a huge amount of the commerce for them, and artificial intelligence product research surfaces niche brands. Artificial intelligence discovery becomes the new point of aggregation, so a well reviewed product can shoot up in the rankings.

John Collison says Stripe processed one point nine trillion dollars in 2025, up thirty-four percent.

Stripe has a set of operating principles. The first one is users first. The company always tries to start with what the customer actually wants and work backwards from customer needs especially when it comes to product development rather than focusing on new revenue pools or internal company oriented thinking.