This is a very biased evaluation. If the performance of the AI system is the same as a human, then there is not a motivation to use it (one can argue about cost reduction in the long run, etc, but most companies will not do that unless there are immediate productivity gains also).
However, there are many tasks that are being executed today by AI systems (just using the term so that I don't have to write "machine learning, deep learning" all the time) that are more efficient than humans - computer vision, for specialized activities, is one example (such as image tagging and classification, content tagging, etc). And as mentioned before, cancer diagnostic and treatment has been a sweet spot for AI systems. Using computer vision to identify skin cancer proved to be more accurate than trained oncologists. (see the two posted links below).
In my opinion, dealing with an AI-based "personal interaction" suffers the same problem of fear of the unknown as nuclear energy - most people are against it because they do not comprehend it, and don't care to learn about it.