MIT Technology Review argues that the competitive advantage in enterprise AI deployment is shifting away from which model a company selects toward how it builds the infrastructure around that model. The analysis suggests that data pipelines, engineering practices, governance frameworks, and operating models are now the true differentiators. This represents a maturation of the AI market: capability alone no longer wins deals.

What This Means for Your Business

If your organization is still in the "buy a better model" phase, you're missing the larger picture. Investment in data engineering, MLOps infrastructure, governance, and change management will yield higher ROI than switching between foundation models. Evaluate your current AI readiness not on model capability, but on whether your data pipelines, compliance frameworks, and deployment systems can actually support scaled AI adoption.