AI companies tighten control by building more of the stack

In short: Top AI companies are trying to win by owning more of the parts needed to build and run AI, but that approach may be fragile in a downturn.

What's going on

Many leading AI firms are pursuing “vertical integration”, which means they try to control more steps of the process instead of relying on partners. Think of it like a restaurant that decides to grow its own vegetables, mill its own flour, and deliver its own food, rather than buying from suppliers.

In AI, those “suppliers” include the chips that do the heavy computing, the data centers that house the computers, the software used to train AI models, and the apps people actually use. Companies have been investing across these layers to move faster, control costs, and avoid being blocked if a partner raises prices or limits access.

The Financial Times argues this creates tall, complex businesses with many moving parts. It can look strong when money is flowing and demand is rising. But it can be harder to manage when conditions change, because each layer needs big spending and long-term planning.

What to watch

The key question is whether these highly integrated AI companies can handle a “storm”, such as a market slowdown, tighter regulation, or shortages of chips and electricity. If budgets tighten, firms may have to choose between building infrastructure and improving the AI products people see. That could open the door for smaller specialists that focus on one layer, rather than trying to own everything.

Source: Financial Times