Sounds like despite their best efforts, NLP + full automation still has a long way to go. Unless they didn't get the resources they need to push it over the edge?

> That’s because most of the tasks fulfilled by M required people.

> One source familiar with the program estimates M never surpassed 30 percent automation. Last spring, M’s leaders admitted the problems they were trying to solve were more difficult than they’d initially realized.

> But as it became clear that M would always require a sizable workforce of expensive humans, the idea of expanding the service to a broader audience became less viable.