"Generative AI exponentially brings down the cost of building solutions. It lets people build exactly what they need to solve an exact problem in an exact moment. It lets people own their own solutions. This is great for a lot of specific problems that need specific solutions that wouldn't normally get solved easily. This has been the evergreen promise of computers and programming and hacking. But there's a difference between solving your specific problem, and owning a problem domain."
"Paying for software isn't paying for a solution. It's paying for someone else to own a problem. It's paying for someone who has the taste and the context to think through the details. For the operations and structures necessary to scale it, maintain it, and solve even bigger things. 1 For the relationships that connect and abstract and expand upon the problem in ways that they can't do, because they own the specific solution, not the whole problem."
Generative AI sharply lowers the cost and complexity of building software, enabling people to create exact, one-off solutions and to own them. That capability makes many specific problems solvable without relying on external vendors. Owning a solution, however, means owning the broader problem domain: ongoing judgment, edge-case handling, scaling, maintenance, and the relationships that expand and abstract the problem. Paying for software transfers that problem ownership to a vendor who provides taste, context, operations, and long-term focus. If every company builds all its own solutions, companies risk losing focus and eroding the market of software vendors to sell to.
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