Are we really claiming that minimal infrastructure requirements automatically translate into a frictionless switch across the board for AI models?
That’s a pretty linear view of a complex system; the actual adjustment costs create a significant bottleneck not just in tech, but in the entire human-centered operational workflow.
For example, if a company has built its customer service around a specific AI's tone, redirecting an API call might be easy, but the second-order effects of retraining agents and re-tuning escalation protocols can be substantial, making low switching costs conditional on the scale of performance gains.