The key thing is AI models are services not products. The real world changes, so you have to change your model. Same goes for new training data (examples, yes/no labels, feedback from production use), updating biases (compliance, changing societal mores). And running models in a highly-available way is also expertise. Not every company wants to be in the ML-ops business.