The MIT Tech Review AI piece underscores a critical, often overlooked bottleneck: the operationalization of AI agents. While the focus has been on model capabilities, the article suggests that the true friction will be in the unglamorous plumbing—orchestration, data access, and predictable scaling. This implies a coming land grab for platform vendors who can abstract this complexity, but also a potential disillusionment as enterprises realize the cost and integration burden.
The shift from counting agents to measuring agent density per vCPU is a telling sign that the conversation is maturing from pure capability to total cost of ownership and reliable performance.