Every enterprise AI conversation seems to begin with the same question: Which model should we use? I understand why. Models are visible. They have names, benchmarks, release notes, pricing pages and impressive demos. They are easy to compare in a leadership meeting. One model promises better reasoning. Another offers a larger context window. Another appears faster, cheaper or more specialized. But after years of working around enterprise platforms, integration layers, cloud migration, middleware, production operations and mission-critical systems, I see the AI conversation differently. The model matters. But it is not where most enterprises will struggle next. The next AI bottleneck is the infrastructure behind the model.

Full report : Everyone is obsessed with choosing the right AI model, but the real headache starts when your data, security and infrastructure aren’t built to scale it.