Most people see AI in tech as “it writes code faster.”
That’s only the surface.
The bigger change is happening in the layers underneath. Models need clean data. Data needs pipelines.
Pipelines need infrastructure that can actually run them reliably. When any of those layers is weak, the AI on top becomes unreliable, expensive, or both.
This is why some teams get real leverage from AI and others keep fighting it. It’s rarely about which model they picked. It’s usually about whether the foundation was built to support it.
Understanding that stack early changes how you approach almost every product you build.